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

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

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!

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.

The use of AI tools of any kind (including but not limited to notetakers, interview assistants, and real-time coaching tools such as Otter.ai, Fireflies, Fathom, Cluey, or similar) during TRM interviews is not permitted without prior approval from TRM. TRM uses its own internal tools for note-taking to ensure a consistent and confidential experience for all candidates.

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this form.

**Recruitment agencies**

TRM Labs does not accept unsolicited agency resumes. Please do not forward resumes to TRM employees. TRM Labs is not responsible for any fees related to unsolicited resumes and will not pay fees to any third-party agency or company without a signed agreement.

**Learn More **: Company Values | Interviewing | FAQs

Senior Data Scientist, Product Analytics

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