Idexcel is a Professional Services and Technology Solutions provider specializing in Cloud Services, Cloud Native Services, Data Platforms and Intelligence, Automation & AI. We as Idexcel, are proud that for more than 20 years we have provided services that implement complex technologies that are innovative, agile, and successful and have provided our customers with lasting value.

Our name, "Idexcel" is a representation of our core principle "Ideas to Excellence". We are relentlessly driven by results and take pride in our customer-centric engagement models. We blend our clients’ needs with proven delivery models and highly talented execution teams to deliver an exceptional customer experience.

Headquartered in Herndon, Virginia, Idexcel has offices and delivery locations in the US, Europe, and Asia supporting global clients.

Industry: IT Services and IT Consulting
Company Size: 501-1,000 employees

Idexcel

Savvy Admin PROD

**Job Title: Senior Data Analyst **

**Location: Arlington, VA – Hybrid (Need Locals Only) **

**Duration: 12+ Months **

**Important Note: **

This position is Part-Time working approximately 10-20 hours per week.

The selected individual needs to be local to the DC Metro area as the candidate may be asked to report to HQ in Arlington VA or to local postal facilities on occasion.

Candidates MUST be a US Citizen.

**Position Description: **

Expert proficiency in common data science tools, including scripted languages (SQL, Python, R, and Java Scripts), Integrated Development Environment and analytics platforms, open-source solutions, commercial off-the-shelf tools and hardware-based capabilities to support the data analytic development process and creating models, dashboards, and reports.

Knowledge and experience using business intelligence applications and reporting technologies/methodologies including Data Analytics Expressions (DAX), data Mash-up (M), and Microsoft Power Platform (e.g., Power BI, Power Apps, Power Automate, etc.).

Knowledge of AWS or Azure Services, including Databricks, Data Factory, and Data Lake.

Knowledge of Extraction, Transformation, and Load (ETL) strategies, pattern recognition, and application of analytical tools.

Coordinate with staff and customers to identify business and technical requirements.

Produce written documentation and artifacts for all work completed, including the translation of user requirements into technical designs.

Assist the agency in the development of programming and visualization solutions.

Troubleshoot and provide support on existing projects or application efforts.

Understand the concepts supporting relational databases, data warehousing, data governance, data access, data quality and related areas.

**Position Requirements: **

Experience applying analytic techniques to detect fraud in Postal Service operations.

Extensive background in statistical analysis and skilled in advanced statistical methods and software.

Able to work independently or with teams across functions professionally.

Capable of writing concise, comprehensive communications on complex issues for the intended audience.

Able to communicate methodology and results clearly in writing and verbally, including findings from research.

Analyze Postal Service operations to identify potential fraud schemes, actors, and methods.

Participate in site visits with staff and interpret in-the-field observations, identify corresponding data, perform analysis, and identify broader findings.

In-depth knowledge of scripted languages such as SQL, Python, R, and Java Scripts and the proven ability to create solutions in complex environments, including the use of programming languages to create datasets, visualizations, and interactive reports in various business intelligence applications.

Skill applying analytical techniques, methods, and processes to business problems demonstrated through a history of accepted modeling and analyses that resulted in meaningful business impact. These include working with unstructured or structured data and converting those data sets using a variety of analyses such as optimization, simulation, classical and spatial statistics, and/or programming languages.

Strong writing and documentation skills to capture collection of source data, methodology from business rules, and visualization deployment from a myriad of sources and interactions with various stakeholders.

Write programming codes, such as DAX and data Mash-up (M) for data manipulation, sorting, summarizing, and reporting.

Perform analysis of data for Extraction, Transformation, and Load (ETL) strategies, pattern recognition, and application of analytical tools.

Review, analyze, and modify existing products including coding, debugging, testing, and documenting.

Provide guidance to coworkers on business and technical issues affecting projects, such as data access, data quality, storage capacity, and analytic tools and software.

Assist with training and conference development which may include presentations to large audiences.

Ensure that quality/security guidelines are followed.

Strong relational database and querying languages experience.

Strong verbal and written communication skills.

Must be able to work effectively in a team environment.

**Desired Requirements: **

Knowledge and experience in the law enforcement and/or audit industry.

Knowledge and experience using cloud computing platforms such as Azure.

Knowledge and experience with relational databases and structured query language (SQL).

Specialized experience working with programming languages (e.g., Python), business intelligence tools (e.g., Power BI), and analytics platforms (e.g., Databricks).

**Section III: Experience **

Degree in Computer Science, Information Technology, Data Analytics, or related field.

7+ years’ experience and skill writing coding languages (such as SQL, Python, R, and Java Scripts).

3+ years’ experience working with Microsoft Power Platform (including Power BI, Power Automate, Power Apps) and other business intelligence applications.

1+ year experience working with AWS or Azure services such as Databricks, Data Factory, and Data Lake.

Advanced degrees in Statistics, Mathematics, or a related field preferred.

Candidates MUST be a US Citizen and be able to obtain a Position of Public Trust Clearance. Must not have traveled outside the US for a combined total of 6 months or more in last 5 years and have resided in the US for the last 5 years.

Senior Data Analyst

We are America’s first research university, founded in 1876 on the principle that by pursuing big ideas and sharing what we learn, we can make the world a better place. For more than 140 years, our faculty and students have worked side by side in pursuit of discoveries that improve lives.

Johns Hopkins enrolls more than 24,000 full- and part-time students throughout nine academic divisions. Our faculty and students study, teach, and learn across more than 260 programs in the arts and music, the humanities, the social and natural sciences, engineering, international studies, education, business, and the health professions.The university has four campuses in Baltimore; one in Washington, D.C.; one in Montgomery County, Maryland; and facilities throughout the Baltimore-Washington region as well as in China and Italy.

The university takes its name from 19th-century Maryland philanthropist Johns Hopkins, an entrepreneur who believed in improving public health and education in Baltimore and beyond.

Industry: Higher Education
Company Size: 10,001+ employees

The Johns Hopkins University

We are seeking a **Sr. Research Data Analyst ** who will build complex data models and conduct complex data analysis in support of research projects, programs, and/or studies. The Sr. Research Data Analyst is responsible for coordination of data and data analysis activities across multiple studies.

**Specific Duties & Responsibilities **

- Develop, manage, and maintain a database for study data for multiple studies.

- Develop standard operating procedures for initial data entry and data updates.

- Oversee quality control procedures for database and ongoing analysis.

- Develop data models.

- Conduct statistical analyses of data collected in this system to support empirical study.

- Build transmission models.

- Create and curate software tools across diverse programming languages in support of research efforts.

- Other duties as assigned.

**Minimum Qualifications **

- Master's Degree in a related field.

- One year of related experience.

- Highly specialized advanced knowledge, education and/or training in a specialized field of study to conduct research.

**Preferred Qualifications **

- PhD in a related field.

Classified Title: Sr. Research Data Analyst

Role/Level/Range: ACRP/04/MD

Starting Salary Range: $55,800 - $97,600 Annually ($65,000 targeted; Commensurate w/exp.)

Employee group: Full Time

Schedule: Monday-Friday; 8:30 AM-5:00 PM

FLSA Status: Exempt

Location: Hybrid/School of Medicine Campus

Department name: SOM DOM Pulmonary

Personnel area: School of Medicine

Sr. Research Data Analyst (Pulmonary)

Haystack combines AI & expert vetting to deliver world-class tech candidates who are engaged, aligned, and ready to interview.

We're trusted by over 100,000+ UK-based techies, working in Software Engineering, Data, Design, DevOps, Cloud, Tech Management, Testing, Product & Delivery, Architecture and more. 

100s of employers from startups and scale-ups like Atom Bank, DuckDuckGo and Goodlord to established enterprises like American Express, Dunelm and AWS use Haystack to connect with qualified tech talent that they can't find anywhere else.

Industry: Technology, Information and Internet
Company Size: 51-200 employees

Haystack

**Senior Data Fusion and Tracking Systems Engineer | Hybrid **

This employer is a leader in applying scientific and technical expertise to critical national defense, security, space, and science challenges. They foster a supportive and vibrant culture that encourages authenticity, growth, and strong connections among inspiring teammates.

**The Role **

• Evaluate and evolve tracking and data fusion algorithms and system designs within larger architectures.

• Collaborate with internal and external teams to address complex technical problems.

• Design and conduct studies for algorithmic proof-of-concept and develop system design recommendations.

• Develop and present analysis packages and briefings for sponsors and key audiences.

• Incorporate information from multiple, disparate sources to exploit sensor strengths for robust operation.

**What You'll Need **

• BS in mathematics, electrical engineering, statistics, or a related technical field.

• 5+ years of experience developing and evaluating tracking and data fusion algorithms and systems.

• Demonstrated subject matter expertise in data association, state estimation, Kalman filtering, track-level fusion, and sensor information characterization.

• Proficiency in conducting assessments using modeling, simulation, and data analysis in MATLAB, Python, or similar languages.

• Strong communication skills with experience in preparing briefing materials for external organizations.

• Willingness to travel up to 10% of the time.

• Active Secret security clearance, with the ability to obtain TS/SCI clearance.

**What's On Offer **

• A supportive environment for professional growth and development.

• Generous benefits package, including robust education assistance and retirement contributions.

• Opportunity to work on impactful, complex problems defending national interests.

• Collaborative team culture that celebrates diverse perspectives and encourages innovation.

Apply via Haystack today!

Data Analyst

AaraTech Inc. is a leading IT solutions and services provider dedicated to empowering businesses through innovative technology solutions. With a strong focus on quality, reliability, and customer satisfaction, we deliver tailored services that meet the unique needs of our clients.

Industry: IT Services and IT Consulting
Company Size: 51-200 employees

AARATECH

**Job Title: Data Analyst – Healthcare **

**Company: ** Aaratech Inc.

**Location: ** Washington DC-Baltimore Area

**Work Authorization **

At this time, we are only able to consider candidates who are authorized to work in the United States without sponsorship.

**Job Summary **

Aaratech Inc. is seeking a Data Analyst with experience in the healthcare domain. The role involves analyzing healthcare data, generating insights, and supporting data-driven decisions to improve patient outcomes and operational efficiency.

**Key Responsibilities **

- Gather, clean, and analyze healthcare datasets

- Identify trends in patient data, claims, and operations

- Develop dashboards and reports using BI tools

- Collaborate with clinical, business, and IT teams

- Ensure data accuracy and compliance (HIPAA)

**Qualifications **

- Bachelor’s degree in Data Science, IT, or related field

- Minimum 2 years of Data Analyst experience

- Experience with healthcare data preferred

- Strong SQL and Excel skills

**Preferred Skills **

- Power BI or Tableau experience

- Knowledge of HL7, FHIR

- Experience with EHR/EMR data

**About Aaratech Inc. **

Aaratech Inc. is a technology-driven organization focused on delivering innovative solutions across healthcare and enterprise domains. We are committed to improving operational efficiency and enabling better outcomes through data-driven insights and collaborative partnerships.

We engage, empower, enable, and imagine a future where the patient, consumer, customer, and business is the center of everything you do. Our approach is to provide the vision and technical support needed for an organization or individual to have ownership of their creations in a decentralized and agnostic manner. We are the bridge between traditional organizations and the ambitious innovators that want to control their own destiny.

Industry: Technology, Information and Media
Company Size: 11-50 employees

Imagineeer

**Benefits:**

- 401(k) matching

- Competitive salary

- Health insurance

- Paid time off

**About this Role:**

The **Data Architect / Enterprise Data Analyst ** will provide data strategy, architecture, and analytics expertise to support enterprise data initiatives across the U.S. Department of Health and Human Services (HHS). This role will define and implement data architecture frameworks, data governance standards, and enterprise data management (EDM) solutions to improve data quality, accessibility, security, and interoperability across systems and organizations.

The ideal candidate will have experience working in federal data environments, including designing enterprise data models, developing data integration strategies, and supporting data modernization and cloud migration projects. The role also requires strong collaboration skills to work with IT leadership, system owners, data stewards, and mission stakeholders to enable informed decision-making through trusted and well-governed data.

**Key Responsibilities:**

-  Develop logical data models aligned to HRIT product lines, ensuring full compliance with HHS data governance policies to support the modernization of Human Capital Management (HCM) capabilities.

-  Develop a comprehensive Data Migration Plan, including a phased migration strategy, data transformation protocols, validation and testing procedures, and rollback contingencies to support the transition to the Target State of HRIT modules.

-  Support the design, development, testing, and deployment of HRIT applications and APIs, ensuring seamless data integration across a consolidated and modernized HCM platform.

-  Deliver a comprehensive data integrity approach, ensuring robust data quality checks are in place to support the unified platform.

-  Collaborate with the Data Governance Architect to establish a robust Data Stewardship framework.

-  Support the technical team in developing and testing integrations between enterprise systems, leveraging technologies such as Web Services, REST/SOAP APIs, and

Integration Broker. Perform rigorous testing to ensure accurate and reliable data transmission across interconnected applications.

-  Develop reports, queries, and analytics solutions to support business intelligence and operational insights.

-  Create and maintain technical documentation for all configurations, customizations, and integrations.

-  Collaborate with functional analysts, DBAs, and infrastructure teams to optimize system performance and reliability.

-  Support upgrades, patches, and maintenance activities with minimal operational disruption.

-  Apply federal compliance best practices, including security (NIST), accessibility (Section 508), and records management.

-  Provide mentorship to junior developers and contribute to team knowledge through code reviews and technical guidance.

**Qualifications and Skills:**

-  Bachelor’s degree in Computer Science, Information Technology, or a related discipline.

-  Proficient in SQL and relational database design, supporting scalable and efficient data solutions.

-  Proven success working within federal government systems or comparable enterprise environments.

-  At least 10 years of experience working as a Data Analyst, Data Modelling and/or Business Intelligence Domain.

-  Eligible to obtain and maintain a Public Trust clearance/must be a US Citizen

-  Certified in data governance and management (e.g., CDMP, DGCP).

-  Hands-on experience implementing the Federal Data Strategy and supporting open data initiatives.

-  In-depth knowledge of the Federal Enterprise Architecture Framework, including HHS EA (HHS-OCIO-OES-2024-10-005).

-  Skilled in conducting data privacy impact assessments and applying NIST data security guidelines.

-  Familiar with AI governance, and responsible machine learning practices.

-  Proficient in cloud-based data governance, master data management, and data architecture principles.

-  Experienced with business intelligence and data visualization tools.

-  Knowledgeable in records management standards and federal compliance procedures.

**Desired Skills and Competencies:**

- Experience supporting HHS or other federal health agencies (CMS, NIH, HRSA, FDA, CDC).

- Familiarity with federal data policies such as the Federal Data Strategy and CDO requirements.

- Experience with enterprise data warehouses or data lakes.

- Certifications such as CDMP, AWS Data Analytics, Azure Data Engineer, or DAMA.

- Knowledge of FHIR, HL7, NIEM or federal data interoperability standards.

- Experience with API integrations, service-oriented architecture (SOA), or microservices.

Flexible work from home options available.

Data Architect-Enterprise Data Analyst

**Data Analyst/Engineer | Hybrid | $77,600 - $176,000 **

We're hiring for a globally recognized leader in technology and engineering solutions, known for its commitment to impactful missions and collaborative work environment. This organization empowers its teams to leverage cutting-edge technologies to solve complex challenges for clients across various sectors.

**The Role **

• Design, build, and maintain scalable data platforms and pipelines.

• Architect data pipeline structures for security operations, including log collection and routing.

• Develop and implement solutions for cloud, on-premises, and disconnected environments using containerization.

• Work with a multi-disciplinary team in an agile setting to deliver mission-driven data solutions.

• Manage and administer key data engineering tools and platforms.

• Contribute to the assessment, design, building, and maintenance of data platforms.

**What You'll Need **

• 5+ years of experience with data lake or analytics platforms.

• 3+ years of experience designing data pipeline architectures for security operations.

• 3+ years of experience in defensive cyber operations, cybersecurity engineering, or security platform architecture.

• 2+ years of experience with Windows or Linux administration.

• Experience architecting detection engineering pipelines, threat hunting workflows, or automated response capabilities.

• Experience deploying platforms using Kubernetes or OpenShift.

• TS/SCI clearance and HS diploma or GED.

**What's On Offer **

• Opportunity to work on mission-critical projects impacting national intelligence, research, and fraud detection.

• Collaboration with a multi-disciplinary team of analysts, engineers, and developers.

• Continuous professional development and tuition assistance.

• Comprehensive benefits package including health, retirement, and paid leave.

Apply via Haystack today!

Data Analyst

We're seeking a Data Analyst for a leading consultancy renowned for transforming organizations in the evolving digital landscape. This employer empowers clients by harnessing data to solve complex challenges at scale, fostering a culture of innovation and providing deep insights. Join a supportive team dedicated to delivering impactful solutions.

The Role

• Advise on using business intelligence data for predictive analytics and implementing tools like Qlik.

• Administer quantitative and qualitative modeling techniques to data.

• Apply analytical best practices for data collection, aggregation, normalization, and analysis.

• Analyze and process data, contributing to the development of models and report templates.

• Recommend and implement appropriate performance measures for data analysis.

• Provide guidance to team members and deliver actionable reports to clients.

What You'll Need

• 2+ years of experience with data visualization and data engineering.

• 2+ years of experience working with data in a professional environment.

• Experience querying or analyzing data to answer questions and solve problems.

• Experience visualizing data to identify or communicate key insights.

• Knowledge of business analysis and business intelligence tools.

• A Secret clearance and HS diploma or GED.

What's On Offer

• Opportunities for professional development and growth within a dynamic industry.

• A supportive team environment that encourages collaboration and learning.

• Comprehensive benefits package including health, retirement, and paid leave.

• A chance to work on impactful projects for national security initiatives.

Apply via Haystack today!

Green Threads, LLC has created a niche in Identity and Access Management (IAM) and Web Service (WS) Security solutions in the federal SOA Security marketplace.  Green Threads, LLC (GT) provides IAM, WS Security, and Single Sign On (SSO) solutions based on industry standards, open architecture, and vendor agnostic tools. Our team has implemented these solutions in multiple federal agencies, including U.S. Department of Veterans Affairs (VA), National Archives and Records Administration (NARA), United States Postal Service (USPS) and United States Patent and Trademark Office (USPTO).

Industry: IT Services and IT Consulting
Company Size: 2-10 employees

Green Threads, LLC

Green Threads LLC is delivering independent, evidence-based IT assessments and modernization roadmaps for federal agencies. We are seeking a Senior Federal Cybersecurity Consultant to serve as the cybersecurity and compliance lead on a comprehensive assessment engagement for a federal agency client in Washington DC. This role is central to the engagement, you will own the cybersecurity, Zero Trust, risk register, compliance gap analysis, and SOP development workstreams.

**Security Clearance Requirement: **Active TS clearance

**Work Location: **Hybrid / Primarily onsite DC

**ROLE **

You will lead the cybersecurity, compliance, and risk workstreams for a **six-month federal IT assessment engagement **. Working alongside a senior system architect, data analyst, and project manager, you will assess the agency’s cybersecurity posture across four layers, governance and accountability, technical control implementation, operational effectiveness, and integrated risk synthesis, and translate findings into a scored risk register, compliance gap analysis, and actionable SOPs that agency leadership can act on immediately.

**KEY RESPONSIBILITIES: **

- Lead governance and compliance assessment against OMB A-130, NIST CSF, NIST SP 800-53 Rev. 5, NIST SP 800-37 Rev. 2, TIC 3.0, FISMA, FedRAMP, and applicable Executive Orders

- Assess Zero Trust maturity against NIST SP 800-207 and SP 1800-35 implementation guidance

- Evaluate MFA enforcement, privileged access management, and identity and access controls

- Assess vulnerability management practices, patching cadence, and configuration management

- Evaluate incident response readiness, escalation procedures, and after-action practices

- Assess Microsoft Sentinel SIEM coverage, use-case maturity, alerting value, and dashboard utility as operational security tools, not checkbox items

- Develop a scored IT risk register with domain, root cause, consequence, H/M/L rating, mitigation recommendation, and QW/ST/LT sequencing across all assessment domains

- Produce a compliance gap analysis distinguishing documentation gaps from process gaps, technology gaps, and material mission/compliance risks

- Lead development of SOPs and policies: incident response, configuration management, access control, patching, help desk operations, cloud governance, and data governance

- Assess AI readiness: governance posture, data quality, privacy and records implications, security guardrails, and near-term use-case identification

- Participate in stakeholder interviews, system walkthroughs, and evidence validation sessions

- Contribute cybersecurity content to the current-state assessment report, modernization roadmap, and final report

**DELIVERY: **

- Cybersecurity assessment findings (governance, technical controls, operational effectiveness)

- Scored enterprise risk register integrated across all assessment domains

- Compliance gap analysis with gap classification (documentation / process / technology / mission risk)

- Draft SOPs and policies in editable Word format

- AI readiness assessment section covering governance, data, security guardrails, and use-case identification

- Input to 3–5 year target architecture and 12–24 month modernization roadmap

**MINIMUM QUALIFICATIONS **

- Bachelor’s Degree in Cybersecurity, Information Technology, Computer Science, or a related discipline; equivalent combination of education, training, and professional experience may be substituted

- Minimum of 7 years of relevant experience in systems design, cybersecurity operations, network defense, security engineering, or risk management

- Minimum of 2 years in a senior or lead cybersecurity role

- Demonstrated ability to develop, implement, and monitor security controls, vulnerability management programs, and incident response procedures

- Experience advising stakeholders and leadership on cybersecurity best practices and risk mitigation

**PREFERRED QUALIFICATIONS **

- Active federal cybersecurity certifications: CISSP, CISM, CEH, Security+, or equivalent

- Hands-on experience with NIST 800-53, FISMA compliance, FedRAMP ATO processes, and federal risk management frameworks

- Experience with Microsoft Sentinel, Defender, or equivalent SIEM/EDR in a federal environment

- Familiarity with Zero Trust architecture implementation in cloud or hybrid federal environments

- Experience developing federal SOPs and security policies in alignment with NIST standards

- Prior work at small or independent federal agencies; understanding of constrained staffing models and the operational trade-offs they require

- Experience with AI governance, data privacy, or AI readiness assessments is a plus

**CLEARANCE & WORK LOCATION **

- Active Top Secret (TS) federal security clearance required, no exceptions and no post-award processing

- Work is performed primarily onsite at the federal client’s Washington DC headquarters

- Some offsite work (analysis, drafting, internal coordination) is expected; exact hybrid ratio to be confirmed with client

- Onsite presence is required for kickoff, stakeholder interviews, leadership briefings, and process walkthroughs

**To apply: **Send resume and clearance status to info@greenthreadsllc.com with subject line “Senior Cybersecurity Consultant — [Your Name]”.

Senior Federal Cybersecurity Consultant

The CDC Foundation helps the Centers for Disease Control and Prevention (CDC) save and improve lives by unleashing the power of collaboration between CDC, philanthropies, corporations, organizations and individuals to protect the health, safety and security of America and the world. The CDC Foundation is the go-to nonprofit authorized by Congress to mobilize philanthropic partners and private-sector resources to support CDC’s critical health protection mission. Since 1995, the CDC Foundation has raised over $2 billion and launched more than 1,300 programs impacting a variety of health threats from chronic disease conditions including cardiovascular disease and cancer, to infectious diseases like rotavirus and HIV, to emergency responses, including COVID-19 and Ebola. The CDC Foundation managed hundreds of programs in the United States and in more than 90 countries last year.

Industry: Non-profit Organizations
Company Size: 1,001-5,000 employees

CDC Foundation

Data Engineer - Maryland

**Overview **

The Senior Data Engineer will play a crucial role in advancing the CDC Foundation's mission by designing, building, and maintaining data infrastructure for a public health organization. This role is aligned to the Workforce Acceleration Initiative (WAI). WAI is a federally funded CDC Foundation program with the goal of helping the nation’s public health agencies by providing them with the technology and data experts they need to accelerate their information system improvements.

Working within Prince George’s County Health Department, the Senior Data Engineer will support the development and operation of the enterprise data platform by building and maintaining data pipelines, supporting data ingestion and transformation, and enabling analytics and reporting use cases. This role collaborates closely with IT, data analysts, and program stakeholders to ensure data is reliable, accessible, and aligned with public health business needs.

The Senior Data Engineer serves as a senior technical contributor supporting the modernization of PGCHD’s enterprise data platform. The role focuses on designing and implementing data engineering solutions, supporting data ingestion and transformation, and enabling analytics and reporting capabilities across public health programs.

The Senior Data Engineer will be hired by the CDC Foundation and assigned to the Prince George’s County Health Department. This position is eligible for a fully remote work arrangement for U.S. based candidates.

**Responsibilities **

Azure Synapse & Medallion Architecture

- Design and implement Azure Synapse Analytics solutions using Spark pools, dedicated and serverless SQL pools

- Implement and operationalize Medallion Architecture (Bronze, Silver, Gold) layers within Azure Data Lake Storage Gen2 (ADLS).

- Develop reusable, parameter-driven data pipelines leveraging Synapse pipelines and Azure Data Factory–style orchestration.

Data Ingestion, Transformation & Modeling

- Ingest and integrate data from diverse internal and external public health sources (clinical, operational, surveillance, census, and partner data).

- Build Spark-based transformations and SQL-based data models to cleanse, standardize, and enrich data.

- Design and maintain dimensional and analytical data models optimized for reporting, dashboards, and advanced analytics.

Performance, Reliability & Cost Optimization

- Monitor, troubleshoot, and tune Synapse workloads for performance, scalability, and cost efficiency.

- Identify and resolve data pipeline failures, data quality issues, and processing bottlenecks.

- Implement logging, monitoring, and alerting for production-grade data pipelines.

Data Governance, Security & Compliance

- Implement data governance, metadata management, and lineage using Microsoft Purview.

- Support compliance with public health data security, privacy, and regulatory requirements (HIPAA, CDC guidance, and county policies).

- Apply role-based access control (RBAC) and data protection best practices across Azure resources.

Collaboration & Stakeholder Engagement

- Partner with public health program leaders, analysts, epidemiologists, and informatics teams to translate defined business needs into technical solutions

- Ensure data products are analytics-ready and aligned with reporting, performance management, and decision-support needs.

- Communicate technical concepts, progress, and recommendations clearly to both technical and non-technical stakeholders.

Engineering Standards & Knowledge Transfer

- Apply data engineering best practices including source control, CI/CD, automated testing, documentation, and code reviews.

- Provide technical guidance related to data engineering implementations and best practices

- Support documentation and knowledge sharing to promote sustainability of data solutions

- Stay current on Azure data platform capabilities and data engineering trends relevant to public health use cases

**Required Qualifications **

- Bachelor’s degree in Computer Science, Information Technology, Data Science, or a related field.

- Minimum 5 years of professional experience in data engineering, analytics engineering, or data warehousing roles.

- Hands-on experience with Microsoft Azure data services, particularly Azure Synapse Analytics and ADLS Gen2.

- Strong proficiency in SQL and at least one programming language such as Python, Scala, or Java.

- Experience developing Spark-based data transformations and scalable ETL/ELT pipelines.

- Solid understanding of data warehousing concepts, dimensional modeling, and analytics-oriented data design.

- Experience implementing engineering best practices such as source control, CI/CD pipelines, automated testing, and peer review.

- Familiarity with agile development methodologies and modern software design patterns.

- Strong analytical, troubleshooting, and problem-solving skills.

- Excellent written and verbal communication skills, with the ability to explain technical concepts to non-technical audiences.

- Experience collaborating with distributed and remote teams.

- Up to 10% domestic travel may be required.

**Preferred Qualifications **

- Experience working with public health, healthcare, or government data environments.

- Familiarity with Microsoft Purview for data governance and lineage.

- Experience supporting Power BI or other analytics and visualization tools.

- Knowledge of HIPAA, public health data standards, and regulatory compliance.

- Prior experience designing enterprise-scale Azure data platforms using Medallion or Lakehouse architectures.

**Job Highlights **

- Location: Remote, must be based in the United States, Up to 10% domestic travel may be required.

- Salary Range: $103,500-$143,500 per year, plus benefits. Individual salary offers will be based on experience and qualifications unique to each candidate.

- Position Type: Grant funded, limited-term opportunity

- Position End Date: June 30, 2027

Data Engineer

Inside Higher Ed is the leading source for the latest news, analysis, and services for the entire higher education community. We deliver independent news and analysis that informs the world about higher education, while providing essential tools and services to help organizations and professionals be more effective.

Go to www.insidehighered.com/newsletter/signup and sign up for our free Daily News Update email.

Higher Education News - www.insidehighered.com

Jobs & Careers - careers.insidehighered.com

Industry: Online Audio and Video Media
Company Size: 51-200 employees

Inside Higher Ed

The Pathology Department is seeking a **Research Data Analys **t to provide data analysis and related activities for various types of research projects and studies. The Research Data Analyst will contribute to ongoing development, maintenance, and use of a research data pipeline that collects and analyzes data.

**Specific Duties & Responsibilities**

- Collect data and generate reports and models.

-  Run models, analyze model results, and prepare reports on the analysis.

-  Conduct analyses in support of the assigned research project or study.

-  Conduct statistical analyses using standard and statistical software packages.

-  Design and prepare tables to illustrate analytic findings.

-  Manage or contribute to entry of data in the assigned database.

-  May engage in other research related responsibilities.

- Other duties as assigned.

**Minimum Qualifications**

- Bachelor's Degree in related discipline.

- Three years of related experience.

**Preferred Qualifications**

**Technical Skills & Expected Level of Proficiency**

- Data Management and Analysis - Developing

- Data Pipeline Architecture & ETL/ELT Development - Developing

- Data Visualization - Developing

- Programming Languages - Developing

- Reproducible Research Practices - Developing

- Research Methodology - Developing

- Statistical Modeling - Developing

- Statistical Programming - Developing

~~The core technical skills listed are most essential; additional technical skills may be required based on specific division or department needs.~~

Classified Title: Research Data Analyst

Job Posting Title (Working Title): Research Data Analyst (Pathology)

Role/Level/Range: ACRP/04/MC

Starting Salary Range: $48,000 - $84,100 Annually ($52,000 targeted; Commensurate w/exp.)

Employee group: Full Time

Schedule: Monday-Friday, 8:30am-5:00pm

FLSA Status: Exempt

Location: School of Medicine Campus

Department name: SOM Pat Transfusion Medicine

Personnel area: School of Medicine

Research Data Analyst (Pathology)

Trusted to transform missions with the power of tomorrow’s technologies, Booz Allen Hamilton advances the nation’s most critical civil, defense, and national security priorities. We lead, invest, and invent where it’s needed most—at the forefront of complex missions, using innovation to define the future. We combine our in-depth expertise in AI and cybersecurity with leading-edge technology and engineering practices to deliver impactful solutions. Combining more than 100 years of strategic consulting expertise with the perspectives of diverse talent, we ensure results by integrating technology with an enduring focus on our clients. We’re first to the future—moving missions forward to realize our purpose: Empower People to Change the World.

Industry: IT Services and IT Consulting
Company Size: 10,001+ employees

Booz Allen Hamilton

**Job Number: R0235321**

Statistician and Mathematician

**The Opportunity:**

As an analytics professional, you’re excited at the prospect of unlocking the secrets held by a data set, and you’re fascinated by the possibilities presented by IoT, machine learning, and artificial intelligence (AI). If you care about moving a mission forward as much as advancing the field of data science, this is the opportunity for you. Your deep data science expertise coupled with an original approach to your work will help clients and stakeholders make sense of their data and encourage actionable results. We’re looking for someone like you to lead complex data exploration and analytics projects through your experience with statistics for the Department of Defense.

As an advanced data scientist and researcher on our national security team, you’ll evaluate AI methodologies to make a real-world impact on AI usage in strategic intelligence. You’ll grow your skills in continuous auditing, testing, evaluation, verification, and validation (TEVV), and AI risk mitigation, to shape the future of analytics through a variety of means. We’ll keep you sharp and moving forward in your career, with access to online courses and opportunities to publish or present at conferences. Whether you’re using AI to improve government efficiency or developing new TEVV procedures, you’ll guide a team that serves critical missions from end to end.

Join us. The world can’t wait.

**You Have: **

- 8+ years of experience correlating complex technical findings into graphical, written, visual, and verbal narrative products

- Experience developing and applying statistical models and methods to evaluate data

- Experience working on classified networks and in support of DoD or IC clients

- Ability to work independently with minimal oversight and direction

- Active TS/SCI clearance; willingness to take a polygraph exam

- Bachelor’s degree and 8+ years of experience with scientific techniques such as mathematics, statistics, information science, AI, machine learning, probability modeling, data mining, data engineering, or data warehousing, or 12+ years of experience with scientific techniques such as mathematics, statistics, information science, AI, machine learning, probability modeling, data mining, data engineering, or data warehousing, in lieu of a degree

**Nice If You Have: **

- Experience reviewing and evaluating technical documentation for compliance with applicable standards

- Experience developing and executing TEVV procedures

- Experience with multi-INT analytics

- Experience evaluating AI system performance, robustness, and fairness

- TS/SCI clearance with a polygraph

**Clearance:**

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance is required.

**Compensation**

At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.

Salary at Booz Allen is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $99,000.00 to $225,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen’s total compensation package for employees. This posting will close within 90 days from the Posting Date.

**Identity Statement**

As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.

**Candidate AI Usage Policy**

AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on **your **own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited **unless permission is explicitly provided **.

**Work Model**

Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.

- Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.

- Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.

- Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

**Commitment to Non-Discrimination**

All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.

Statistician and Mathematician

Senior Data Scientist | Hybrid

We're hiring for a globally recognised professional services firm that tackles complex challenges across public and private sectors. This employer is dedicated to leveraging data science for good, employing innovative machine learning and AI techniques to drive impactful solutions for clients worldwide.

The Role

• Lead the development of algorithms and systems to extract insights from complex data sets.

• Collaborate closely with clients to understand their needs and translate them into data-driven solutions.

• Perform data exploration, aggregation, analysis, and visualization.

• Build robust analytical models, including forecasts, cost models, and trend analyses.

• Apply expertise in natural language processing, text mining, or machine learning techniques.

• Guide and mentor junior team members in data science methodologies.

What You'll Need

• 5+ years of experience in data exploration, aggregation, analysis, and visualization.

• 3+ years of experience with programming languages such as Python, R, or SQL for data analysis.

• 3+ years of experience with BI dashboard tools like Qlik Sense, Tableau, or Power BI.

• Proven experience building analytical models.

• Experience with natural language processing, text mining, or machine learning techniques.

• A Bachelor's degree is required.

• A Secret clearance is required.

What's On Offer

• Opportunity to work on impactful projects solving global challenges.

• A collaborative and supportive team environment.

• Access to professional development and tuition assistance.

• Comprehensive health, financial, and retirement benefits.

Apply via Haystack today!

Data Scientist

Data Scientist | $77,600.00 - $176,000.00 annually

This employer is a global leader in providing consulting services, renowned for its commitment to innovation and addressing complex global challenges. They leverage cutting-edge technology and data science to drive meaningful impact across both public and private sectors.

The Role

• Utilize data exploration, cleaning, analysis, visualization, and mining techniques to extract insights.

• Develop and deploy algorithms and systems for complex data analysis.

• Create ETL pipelines, query APIs, and condition data for storage.

• Design and develop automated analytic software, techniques, and algorithms.

• Translate complex data sets into actionable intelligence for informed decision-making.

• Work with clients to understand their needs and deliver data-driven solutions.

What You'll Need

• Proven experience in data exploration, cleaning, analysis, visualization, data science, or data mining.

• proficiency with programming languages for data analysis such as Python, R, or SQL.

• Experience in creating ETL pipelines, including API querying and data conditioning.

• Knowledge of version control tools like Git, GitLab, GitHub, or Bitbucket.

• Understanding of statistical analysis, predictive modeling, and machine learning methodologies.

• A Bachelor's degree is required.

• TS/SCI clearance is mandatory.

What's On Offer

• Competitive salary.

• Comprehensive benefits package including health, life, and retirement plans.

• Opportunities for professional development and tuition assistance.

• A culture that values employee contributions and supports work-life integration.

Apply via Haystack today!

CARFAX started with a vision – to be the leading source of vehicle history information for buyers and sellers of used cars. Today, CARFAX has the most comprehensive vehicle history database available in North America, with more than 30 billion records and counting. Every day, we're proud to help millions of people confidently shop, buy, own and sell used cars with innovative solutions.
 
9X Top Workplace by The Washington Post 
9X Great Place to Work by Washingtonian 
10X Virginia Business Best Places to Work
St. Louis Dispatch Best Places to Work

Industry: Software Development
Company Size: 1,001-5,000 employees

CARFAX

**Description**

Join Team CARFAX as a **Data Scientist**

Isn't it time you bragged about where you work? At CARFAX, we do, every day. We pride ourselves on being mission-focused on helping to grow a brand built on accuracy and integrity. We care deeply about our products and our customers. We’re more than just a company: We help millions of consumers make more-informed decisions every day. We know that our teammates are our most valuable asset, and we value a balanced life while tackling challenging projects in a fast-paced environment. We've created the type of company culture where the term, "work-hard, play-hard" isn't just a catchy saying, it's part of the #CARFAXdifference! One last thing: Our four-day week continues in Summer 2026!

As a **Data Scientist **, you will be key member of the data science team, working on the development of machine learning solutions for new and existing products. You will work collaboratively with data engineers, data mappers and other stakeholders to design, build and scale ambitious machine learning solutions.

~~At CARFAX we believe in the power of teamwork and value in-person interactions so that we can collaborate and thrive together. The position will require 3 days per week in our Centreville, VA office subject to change with future business needs.~~

**What You’ll Be Doing**

- Develop, deploy, and maintain machine learning and NLP models used in production systems

- Monitor model performance, data drift, and model health, and support model retraining and improvements

- Contribute to new data science initiatives, particularly in NLP, text processing, and data decoding projects

- Work with large structured and unstructured datasets to build scalable machine learning solutions

- Collaborate with data engineers and product teams to deploy and scale machine learning models in cloud environments

- Apply NLP techniques such as entity recognition, text classification, document processing, and information extraction

- Communicate analysis results, model performance, and insights to stakeholders

- Build reusable tools, processes, and documentation to improve data science workflows and model lifecycle management

- Stay current with new developments in machine learning, NLP, and large language models (LLMs), and evaluate where they may be applied.

**To Be Considered For This Role, You Will Need**

- Master’s Degree in Statistics, Data Science, Computer Science, or a related field

- 4+ years of experience in SQL/Spark, R, Python

- 4+ years of Experience building and applying machine learning or NLP models to business problems

- Strong understanding and practical experience with machine learning techniques such as regression, tree-based models, ensemble methods, and neural networks, with experience applying these methods to large, real-world datasets and production systems

- Experience working with production machine learning systems, including model monitoring, performance tracking, and model improvements

- Experience with NLP techniques such as Named Entity Recognition (NER), text classification, sentiment analysis, tokenization, or information extraction

- Experience working with large datasets and distributed data processing frameworks (e.g., Spark)

- Experience with cloud platforms (AWS, GCP, or Azure)

- Ability to work independently, prioritize tasks across multiple projects, and contribute new ideas and initiatives.

- Passion for continuous learning and improving data science processes.

**What’s In It For You**

- Competitive compensation, benefits and generous time-off policies

- 4-Day summer work weeks and a winter holiday break

- 401(k) / DCPP matching

- Annual bonus program

- Casual, dog-friendly, and innovative office spaces.

- For a comprehensive list of benefits, please visit our website: https://jobs.jobvite.com/carfax/p/benefits.

**Don’t Just Take Our Word For It**

- 10X Virginia Business Best Places to Work

- 10X Washington Post Top Workplace

- 9X Washingtonian Great Places to Work

- St. Louis Post-Dispatch Best Places to Work.

**About CARFAX And S&P Global Mobility**

S&P Global has recently announced the intent to separate our Mobility Segment into a standalone public company.

CARFAX, part of S&P Global Mobility, helps millions of people every day confidently shop, buy, service and sell used cars with innovative solutions powered by CARFAX vehicle history information. The expert in vehicle history since 1984, CARFAX provides exclusive services like CARFAX Used Car Listings, CARFAX Car Care, CARFAX History-Based Value and the flagship CARFAX® Vehicle History Report™ to consumers and the automotive industry. CARFAX owns the world’s largest vehicle history database and is nationally recognized as a top workplace by The Washington Post and Glassdoor.com. Shop, Buy, Service, Sell – Show me the CARFAX™. S&P Global Mobility is a division of S&P Global (NYSE: SPGI). S&P Global is the world’s foremost provider of credit ratings, benchmarks, analytics and workflow solutions in the global capital, commodity and automotive markets.

**US Equal Opportunity Employer Statement: ** CARFAX is an Affirmative Action/Equal Opportunity Employer. It is the policy of CARFAX to provide equal employment opportunity to all persons regardless of race, color, sex, pregnancy, religion, national origin, age, ancestry, citizenship status, veteran status, military status, disability or handicap, sexual orientation, genetic information or any other status protected by federal, state or local law. In addition, CARFAX will provide reasonable accommodations for qualified individuals with disabilities. We maintain a drug-free workplace. We are a participant in E-Verify.

**Canadian Equal Opportunity Employer Statement: ** CARFAX Canada is an equal opportunity employer, and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law.

We’re committed to providing accommodations by request for candidates taking part in all aspects of the recruitment and selection process. For a confidential inquiry or to request an accommodation, please contact your recruiter or email [email protected].

**Data Scientist **

**Job Description **

**Overview **

The Senior Data Scientist will play a crucial role in advancing the CDC Foundation's mission by leveraging data to inform strategic decisions and initiatives in a public health organization. This role is aligned to the Workforce Acceleration Initiative (WAI). WAI is a federally funded CDC Foundation program with the goal of helping the nation’s public health agencies by providing them with the technology and data experts they need to accelerate their information system improvements.

Working within Prince George’s County Health Department (PGCHD), the Data and Informatics Specialist will use advanced analytics and statistical techniques to analyze public health data and generate insights that support reporting, program evaluation, and operational decision-making.

This role focuses on working with analytics-ready datasets, contributing to data modeling, and supporting the development and design of analytics solutions using tools such as SQL, Power BI, Excel, and Azure-based analytics platforms (e.g., Azure Synapse Analytics) to identify trends and patterns that inform public health programs, performance monitoring, and strategic priorities.

The Senior Data Scientist will be hired by the CDC Foundation and assigned to the Prince George’s County Health Department (PGCHD). This position is eligible for a fully remote work arrangement for U.S. based candidates.

** **

**Responsibilities **

Advanced Analytics & Data Science

- Develop and deliver advanced analytics solutions using curated Silver and Gold layer datasets within Azure Synapse Analytics.

- Apply statistical analysis, machine learning, and predictive modeling techniques to identify trends, risks, and outcomes in healthcare and public health data.

- Design and validate models for forecasting, classification, clustering, and anomaly detection to support population health, program evaluation, and operational decision-making.

Azure Synapse & Medallion Architecture

- Collaborate with data engineering teams to define analytical requirements for Bronze, Silver, and Gold data layers.

- Utilize Azure Synapse Spark pools and SQL pools to explore, analyze, and prepare data for advanced analytics and modeling.

- Ensure analytical outputs are reproducible, scalable, and aligned with enterprise data standards.

BI, Visualization & Decision Support

- Design and develop Power BI dashboards, reports, and semantic models that communicate insights to technical and non-technical stakeholders.

- Translate complex analytical findings into clear, actionable narratives for public health leaders and program teams.

- Support ad hoc analysis and self-service analytics use cases across the organization.

AI, ML & Cognitive Analytics (Preferred)

- Apply AI and ML techniques using Azure-native or open-source tools (e.g., Azure Machine Learning, Python ML libraries).

- Explore cognitive analytics use cases such as natural language processing, risk stratification, pattern recognition, and decision-support augmentation.

- Collaborate with stakeholders to evaluate feasibility, ethics, and impact of AI-driven solutions in healthcare and public health contexts.

Data Quality, Governance & Ethics

- Partner with data engineering and governance teams to ensure data quality, lineage, and trustworthiness of analytical datasets.

- Follow data privacy, security, and ethical AI principles, particularly for protected health information (PHI).

- Support documentation and transparency of analytical methods, assumptions, and limitations.

Collaboration & Knowledge Sharing

- Work closely with epidemiologists, informaticians, analysts, and IT teams to align analytics initiatives with public health priorities.

- Present findings, recommendations, and model results to diverse stakeholder groups.

- Mentor analysts and junior data scientists on analytical methods, tools, and best practices.

** **

**Qualifications **

- Bachelor's degree in data science, Statistics, Computer Science, Public Health, Informatics, or related field (master's degree preferred).

- Minimum 5 years of experience in data science, advanced analytics, or applied analytics roles.

- Strong proficiency in Python and/or R for statistical analysis and machine learning.

- Experience working with SQL and large analytical datasets in cloud or data warehouse environments.

- Hands-on experience with Power BI, including data modeling, DAX, and dashboard design.

- Solid understanding of statistical methods, predictive modeling, and data validation techniques.

- Ability to communicate complex analytical concepts clearly to non-technical stakeholders.

- Strong analytical thinking, problem-solving, and data storytelling skills.

- Up to 10% domestic travel may be required.

**Preferred Qualifications **

- Hands-on experience with Azure Synapse Analytics, Spark pools, and ADLS Gen2.

- Familiarity with Medallion Architecture or Lakehouse-based analytics platforms.

- Experience with Azure Machine Learning, cognitive services, or AI-driven analytics solutions.

- Background in healthcare, public health, or life sciences analytics.

- Knowledge of HIPAA, healthcare data standards, and public-sector data governance requirements.

- Experience deploying or operationalizing ML models in production or semi-production environments.

- Familiarity with other analytics and visualization tools (e.g., Tableau, SAS, R Shiny).

**Job Highlights **

- Location: Remote, must be based in the United States, Up to 10% domestic travel may be required

- Salary Range: $92,700-$134,275 per year, plus benefits. Individual salary offers will be based on experience and qualifications unique to each candidate.

- Position Type: Grant funded, limited-term opportunity

- Position End Date: June 30,2027

EA is a 100% Employee Stock Ownership Plan (ESOP)-owned public benefit corporation that provides environmental, compliance, natural resources, and infrastructure engineering and management solutions to a wide range of public and private sector clients. Headquartered in Hunt Valley, Maryland, EA employs more than 650 professionals through a network of over 25 commercial offices across the continental United States, as well as Alaska, Hawaii, and Guam.  In business for more than 50 years, EA has earned an outstanding reputation for technical expertise, responsive service, and judicious use of client resources.

Industry: Environmental Services
Company Size: 501-1,000 employees

EA Engineering, Science, and Technology, Inc., PBC

**About Us**

At EA, you’ll find yourself surrounded by dynamic professionals that embrace collaboration and curiosity to foster innovation and problem-solving. This culture forms the essence of our value proposition to apply high-quality, objective, and interdisciplinary services to complex environmental challenges. With a strong foundation in servant leadership and community service, EA employees are encouraged to pursue personal and professional passions. As a team, we empower each other to share ideas, believe in our common purpose, and value differing perspectives.

**Position Overview**

We are seeking a highly skilled and detail-oriented Scientist/Data Manager to support data collection, database design and data management of analytical testing results for surface water and sediment projects, and risk assessments within the Water, Natural Resources and Ecotoxicology business unit. The successful candidate will be integrated into an existing team of scientists and engineers currently pursuing and executing a wide range of multidisciplinary projects and programs for a variety of commercial, county, state and federal clients.

**Responsibilities**

-  Participate in the planning and scheduling calls for upcoming field efforts

-  Perform login reviews from the analytical laboratories and track data deliverables and alert the project manager and/or task manager of delays

-  Review data packages and electronic data deliverables for accuracy, completeness, and regulatory compliance

-  Upload data into EQuIS, perform quality checks, and generate data tables

-  Perform quality control checks data validation reports and electronic data deliverables for accuracy, completeness, and regulatory compliance

**Required Qualifications**

- Successful applicants should have a Bachelor of Science Degree in Environmental Science or related field.

- Three or more years environmental data management experience.

- Ability to work as part of a team supporting data management of analytical testing results for sediment and surface water projects, and risk assessments, and additional assigned tasks within Water, Natural Resources and Ecotoxicology or other business units.

- Strong organization, database design, data analysis, chemistry, and environmental data management skills a must.

**Desired Qualifications**

- Strong ability to analyze and manage data; and strong organization, writing and verbal communication skills.

- Strong organization, database design, data analysis, chemistry, and environmental data management skills a must.

- Experience with Microsoft Office (i.e., Microsoft Access and Microsoft Excel) necessary, SQL Server, VB programming, GIS and/or statistics experience a plus.

- Working knowledge of EQuIS, Scribe and other technical software programs a plus.

**Use Of AI In The Application Process**

Applications should represent your own work and experience. AI generated resumes will not be considered.

**Sponsorship Statement**

This position does not offer visa sponsorship now or in the future. Applicants who require sponsorship at any point will not be considered.

**Drug Screen Statement**

Offers of employment are contingent upon successful completion of a drug screen.

Pay Range

$72,055—$90,068 USD

The EA pay range for this position is intended as a general guideline and does not guarantee specific compensation or salary. Factors considered when making an offer include job responsibilities, education, experience, knowledge, skills, abilities, internal equity, alignment with market data, and compliance with federal and state laws.

Why Join EA?

At EA, our core values are openness, balance, and challenge and we strive to improve the quality of the environment in which we live, one project at a time. Our professional, team-centric culture promotes collaboration and flexibility and allows employees to guide their own career development path. To that end, we provide training and coaching to support ongoing development for our project managers and consulting engineers.

**What We Provide**

EA prides itself on servant leadership, career development for staff in all areas, and maintaining work-life balance including flexible schedules. We have a tremendous base of positive client relationships that has resulted in a stable backlog of projects and opportunities for growth. We offer paid volunteer time, tuition reimbursement, knowledge sharing, industry advancement, professional associations, and industry conferences. EA is proud to offer a fantastic benefits package that includes the following:

- 401k with Employee Stock Ownership Plan (ESOP)

- Competitive Salary

- Low deductible health coverage for you and your family through Medical, Dental and Vision plans

- Generous paid-time-off policy

- Paid volunteer time

- Tuition reimbursement

- Professional Development

- Healthcare and Dependent Care Flexible Spending Accounts

- Employee wellness program

**Accommodation Information**

If you are interested in applying for employment with EA and require special assistance or accommodation during any part of the pre-employment process, please contact the EA Talent Acquisition Office at recruitment@eaest.com. For TTY users, dial 711.

**Equal Opportunity Employer Statement**

EA is dedicated to providing equal employment opportunities without regard to race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or veteran status.

Recruiting Agency Disclaimer

Recruiting agencies should not contact EA Engineering, Science and Technology, Inc., PBC directly with unsolicited resumes. Any unsolicited resumes submitted by a recruiting agency to EA via this website or email will be deemed the sole property of EA, and EA will not be responsible for any fee associated with such unsolicited resume.

TRM Labs is a blockchain intelligence company that helps financial institutions, crypto businesses, and government agencies detect and investigate crypto-related financial crime and fraud. Every day, we tackle challenges in data engineering, data science, and threat intelligence to advance our mission to build a safer financial system for billions of people. 

Attention Job Applicants: Recently, it has come to our attention that certain individuals are masquerading as members of TRM's recruitment and human resources team online. We will never request your personal information outside of the standard recruitment process. Every job offer at TRM is extended only after a formal interview process and we will not require candidates to fulfill any financial obligations as part of the hiring process. If you believe you have been targeted with a fraudulent job offer or encountered any suspicious activity, please send us an email with “Recruitment Fraud” in the subject line to recruiting-fraud@trmlabs.com.

Industry: Information Services
Company Size: 201-500 employees

TRM Labs

Build a Safer World.

TRM Labs provides blockchain analytics and AI solutions to help law enforcement and national security agencies, financial institutions, and cryptocurrency businesses detect, investigate, and disrupt crypto-related fraud and financial crime. TRM’s blockchain intelligence and AI platforms include solutions to trace the source and destination of funds, identify illicit activity, build cases, and construct an operating picture of threats. TRM is trusted by leading agencies and businesses worldwide who rely on TRM to enable a safer, more secure world for all.

We’re hiring a **Senior Data Scientist, Product Analytics ** to support our Product Analytics function at TRM. You’ll play a foundational role in shaping how we use data to drive product decisions. TRM’s product surface and customer base have scaled significantly in recent quarters — and with that growth comes complexity. We need sharper insight loops to confidently answer: ~~Did this feature work? Should we double down or pivot? Where are we leaving value on the table?~~

This role exists to close that gap. You'll be the bridge between what we build and why it works — combining causal inference, business context, and data storytelling to uncover what drives impact. Your work will shape the product roadmap, define how success is measured, and help ensure we’re building the right things for the right users.

**The Impact You Will Have**

- Experimentation & Causal Analysis — Design, launch, and analyze controlled experiments (feature flags, quasi‑experiments) to validate product bets; deliver statistically robust recommendations that directly influence ship/iterate/kill decisions.

- Insight Generation & Roadmap Influence — Translate complex product & customer data into crisp narratives that reshape priorities and unlock ARR or risk‑reduction upside.

- KPI Framework & Dashboard Ownership — Define north‑star and supporting metrics, build data models & dashboards, and ensure leadership consumes a single source of truth for product health.

- Data Quality & Instrumentation Governance — Partner with R&D to spec, QA, and monitor event tracking; author tests and anomaly alerts so teams trust the numbers.

**What We’re Looking For**

- Ownership Mindset — Proactively improves instrumentation, ensures reliable data pipelines, and closes the loop between product changes and insights.

- Experiment Design & Statistical Methods — Skilled in designing robust experiments and deriving meaningful causal inferences that influence product direction.

- Advanced SQL Modeling — Writes modular, tested SQL models that power dashboards and experimentation frameworks; contributes to codebase via GitHub.

- Data Storytelling & Stakeholder Influence — Builds compelling narratives that connect user behavior to business outcomes; adjusts depth and format for execs vs. ICs.

**About The Team**

We are a small but foundational function — currently a team of 2 — with direct access to senior decision-makers. This role is ideal for someone who thrives in high-autonomy environments and wants to shape how analytics is done at a fast-scaling company. The team operates with high trust, close cross-functional collaboration, and a deep investment in product thinking.

We default to async communication but prioritize fast iteration and clarity. Weekly standups with Product and R&D ensure close alignment with product launches and prioritization.

**Operating Rhythm**

- This is a US-based role.

- Expect ~4 hours of overlap with PST working hours.

**Learn About TRM Speed In This Position**

- Able to extract insights for every product release within 72 hours of launch.

- Influences quarterly roadmap priorities through data-backed insights.

- Drives velocity of experiment volume — aims for experiments on all net-new product functionality.

**Life at TRM**

We are building a safer world. That promise shows up in how we work every day.

TRM moves quickly. We are a high velocity, high ownership team that expects clarity, follow-through, and impact. People who thrive here are energized by hard problems, experimentation, and continuous feedback. If something takes months elsewhere, it will ship here in days.

Our work sits at the intersection of AI, national security, and fighting financial crime. The problems are complex, the stakes are real, and the environment evolves quickly. The pace and intensity of the work reflect the importance of the mission. As a result, the way we operate requires a high level of ownership, adaptability, collaboration, and creative problem-solving.

**At TRM, You Should Expect**

- Priorities and targets to change quickly as we experiment and iterate

- Work that often requires operating with a high degree of ambiguity

- A high level of personal ownership and accountability

- Close collaboration across teams and functions

- Frequent, high-touch communication

- Creative problem solving and out-of-the-box thinking

- A pace that rewards urgency, adaptability, and outcomes

This environment is energizing for people who enjoy building, solving hard problems, and making progress in situations that are not always fully defined. It also requires comfort navigating ambiguity, adjusting course as new information emerges, and maintaining focus and positivity in a fast-moving and intense environment.

We also recognize that this style of operating is not for everyone. If you are primarily optimizing for predictability or a consistently balanced workload, we encourage you to use the interview process to pressure test whether this environment is truly the right fit. We want teammates who thrive here, not just survive here.

At the same time, many people find this work deeply rewarding. If you are excited by meaningful problems, motivated by ambitious goals, and energized by working alongside mission-driven colleagues, there is a good chance you will find TRM to be an exceptional place to grow and contribute. Learn more: Interviewing at TRM: How We Hire and What Success Looks Like

**AI Fluency at TRM**

AI fluency is a baseline expectation at TRM.

We believe AI meaningfully changes how top performers operate. We expect every team member to use AI to accelerate and reimagine their craft, not just automate surface tasks.

At TRM, AI Fluency Means You Are Among The Top 10 Percent Of Operators In Your Function In How You Apply AI To

- Accelerate repeatable workflows

- Structure and solve problems

- Improve output quality

- Increase speed and leverage

You will be evaluated on applied AI fluency during the interview process.

**Leadership Principles**

We hire and grow against three leadership principles. They’re the standards for how we operate, treat each other, and make decisions.

- Impact-Oriented Trailblazer: We put customers first and move with speed, focus, and adaptability. We treat every plan like an experiment – test, ship, measure, and iterate quickly.

- Master Craftsperson: We care deeply about our craft. We balance speed with high standards, own outcomes end‑to‑end, and invest in getting better everyday.

- Inspiring Colleague: We add clarity and energy, not noise. We bring humility, candor, and a one‑team mindset — giving and receiving feedback to make the team stronger.

**Join our Mission**

At TRM we care deeply about our craft. We are looking for individuals who want their work to matter, who experiment with speed and rigor, and who take pride in building a safer world for billions of people. If you’re excited by TRM’s mission but don’t check every box, we encourage you to apply — we hire for slope, judgment, and the will to learn fast.

TRM is a Series C company with $220M in total funding, backed by Blockchain Capital, Goldman Sachs, Bessemer, Y Combinator, Thoma Bravo, and others. Headquartered in San Francisco, TRM operates as a distributed-first company with hubs in Los Angeles, San Francisco, New York, Washington D.C., London, and Singapore.

**Privacy Policy And Additional Information**

By submitting your application, you are agreeing to allow TRM to process your personal information in accordance with the TRM Privacy Policy.

Our typical hiring cycles for specialized roles span 24 to 36 months. Accordingly, we retain your personal information for up to 36 months to evaluate your application and to consider you for current and future employment opportunities, unless you request earlier deletion or a different retention period is required or permitted by law.

To notify TRM Labs that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.

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Senior Data Scientist, Product Analytics

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