Headquartered in Birmingham, Alabama, Command Alkon powers cloud solutions to teams across the globe. 

Looking for a partner? We're ready to work alongside operations of all sizes.

#TechniqueMatters

Industry: Software Development
Company Size: 501-1,000 employees

Command Alkon

Savvy Admin PROD

**Title: **Senior Data Analyst

** **

**Summary of Role **

The Senior Data Analyst will act as an investigator of real-world plant performance, analyzing data from hundreds of concrete plants running Command Alkon’s Batch AI to uncover inefficiencies, anomalies, and opportunities for improvement. This role goes beyond assigned analysis. Success comes from proactively identifying patterns others miss, asking the right questions, and continuously exploring data to better understand how Batch AI performs in live production environments. Working closely with a senior data scientist, this individual will help translate data findings into insights that influence product improvements and AI model performance.

**Applicants must be currently authorized to work in the United States on a full-time basis. This position is not eligible for employment visa sponsorship. **

**How You’ll Succeed **

-Proactively explore plant performance data to identify anomalies, inconsistencies, and emerging patterns—without waiting for direction.

-Investigate root causes of batching inefficiencies such as material over-tolerance, device behavior, and system variability.

-Develop hypotheses from observed data patterns and validate them through deeper analysis.

-Partner with the senior data scientist to refine findings and connect insights to product and model improvements.

-Analyze batching data and device-level feed cycle logs to evaluate real-world system performance.

-Build and maintain Python-based analysis tools, scripts, and visualizations that help surface meaningful trends.

-Use modern development tools, including AI-assisted coding environments such as Cursor, to accelerate investigation and analysis.

-Continuously ask “why” when reviewing system behavior and challenge assumptions in the data.

-Communicate findings clearly to both technical and non-technical stakeholders.

What Success Looks Like (First 6 Months)

-You consistently identify meaningful patterns or anomalies across plants that were not previously visible.

-Your insights contribute to discussions around Batch AI model behavior and product improvements.

-You develop a strong understanding of batching operations and how they appear in data.

-You become a trusted voice in data reviews by bringing forward thoughtful, self-driven observations—not just answering assigned questions.

**What You Bring **

-5 years of experience in data analysis, engineering, or a related field.

-Bachelor’s degree in Data Science, Engineering, Analytics, or similar (or equivalent hands-on experience).

-Strong Python skills for data analysis, investigation, and automation.

-Experience working with libraries such as pandas, matplotlib, or similar tools for exploring and understanding data.

-Comfort using modern AI-assisted development tools such as Cursor to accelerate analysis, scripting, and problem-solving.

-Experience working with real-world datasets through academic work, projects, internships, or professional roles.

-Familiarity with SQL is helpful, but not required to be highly advanced.

-Strong problem-solving ability with a desire to understand why things happen—not just report what happened.

-Demonstrated ability to independently explore data and uncover non-obvious insights (through projects, coursework, or prior work).

-Clear communication skills with the ability to explain findings simply.

What Sets You Apart

-You naturally dig deeper when something doesn’t look right in the data.

-You enjoy working with messy, real-world datasets and figuring things out.

-You take initiative—you don’t wait to be told exactly what to analyze.

-You have a strong sense of ownership over your work and care about the outcome.

-You are motivated by learning and improving systems, not just completing tasks.

Nice to Have

-Exposure to time-series, operational, or IoT data

-Background in manufacturing, industrial processes, or engineering

-Familiarity with SQL or BI/reporting tools

This Role May Not Be a Fit If You

-Prefer clearly defined tasks and structured problem statements

-Primarily focus on building dashboards or reports from predefined requirements

-Wait for direction rather than proactively exploring data

-Are uncomfortable working with ambiguity or incomplete information** **

** **

**Who You Are **

Manages Complexity: You make sense of complex, high quantity, and sometimes contradictory information to effectively solve problems.

Nimble Learning: You actively learn through experimentation when tackling new problems, using both successes and failures as learning fodder.

Tech Savvy: You anticipate and adopt innovations in business-building digital and technology applications.

Decision Quality: You make good and timely decisions that keep the organization moving forward.

Drives Results: You consistently achieve results, even under tough circumstances.

** **

**All Company Core Competencies **

Customer Focus: You build strong customer relationships and deliver customer-centric solutions.

Cultivates Innovation: You create new and better ways for the organization to be successful.

Collaborates: You build partnerships and work collaboratively with others to meet shared objectives.

Instills Trust: You gain the confidence and trust of others through honesty, integrity, and authenticity.

Self-Development: You actively seek new ways to grow and be challenged using both formal and informal development channels.

Senior Data Analyst

Join us as we celebrate 50 years of empowering our 50 million investor-owners.* Since our founding in 1975, we’ve been on a mission to help investors achieve their goals.

With no outside shareholders to answer to, we make decisions—including keeping investing costs as low as possible—with our clients’ needs in mind. Whether you’re investing for your first house, college for your kids, or a comfortable retirement, you can be confident we’re on your side.

We are a community that thinks—and feels—differently about investing. Together, we’re changing the way the world invests. Let’s celebrate 50 years together.

Community guidelines: vgi.vg/sgl1

*As of January 2025

Industry: Financial Services
Company Size: 10,001+ employees

Vanguard

**Responsibilities:**

- Engages with internal partners to understand business strategy, questions and goals. Brings structure to business requests, translates requirements into an analytical project approach, and leads projects through completion. Delegates tasks and provides tactical and strategic guidance to peers.

- Acquires and compiles structured and unstructured data and verifies its quality, accuracy and reasonableness.

- Performs analyses of historical data to surface trends and insights using advanced analytical methods. Validates analytical techniques employed by other analysts.

- Prepares and delivers visualizations and internal presentations that translate analytic insights into tangible, actionable solutions for business partners to implement.

- Develops, owns and manages recurring analytic or reporting processes.

- Mentors, coaches, trains, and develops junior data analysts. Proactively expands knowledge of business and analytics and shares with team members. Shares and documents best practices.

- Participates in special projects and performs other duties as assigned.

**Qualifications:**

- Minimum 5 years of relevant work experience, with at least 3 years in advanced data analysis, statistical modeling or business intelligence.

- Bachelor’s degree (B.E./B.Tech) in Computer Science, IT, or a Bachelor’s in Statistics/Mathematics.

- Strong proficiency in SQL for querying, data extraction and performance optimization.

- Expertise in Python or R for data manipulation, automation and advanced analytics.

- Hands-on experience with data visualization tools like Power BI, Tableau or Looker to create interactive reports.

**Special Factors**

**Sponsorship**

Vanguard is not offering visa sponsorship for this position.

**About Vanguard**

At Vanguard, we don't just have a mission—we're on a mission.

To work for the long-term financial wellbeing of our clients. To lead through product and services that transform our clients' lives. To learn and develop our skills as individuals and as a team. From Malvern to Melbourne, our mission drives us forward and inspires us to be our best.

**How We Work**

Vanguard has implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.

Sr Data Analyst – AWM Product Analytics

Sixty years ago, Sam Walton started a single mom-and-pop shop and transformed it into the world’s biggest retailer. Since those founding days, one thing has remained consistent: our commitment to helping our customers save money so they can live better. Today, we’re reinventing the shopping experience and our associates are at the heart of it. When you join our Walmart family of brands, you’ll play a crucial role in shaping the future of retail, improving millions of lives around the world. 

We are ecstatic to have been named a Great Place to Work® Certified May 2023 – May 2024, Disability: IN 2023 Best Places to Work, and Fast Company 100 Best Workplaces for Innovators 2023.

This is that place where your passions meet purpose. Join our family and build a career you’re proud of.

Industry: Retail
Company Size: 10,001+ employees

Walmart

Position Summary...

What you'll do...Role summary:

The Senior Data Analyst will leverage advanced analytical techniques and data visualization tools to extract actionable insights that inform strategic business decisions. This role requires expertise in data management, quality assurance, and exploratory analysis across multiple business domains. The successful candidate will collaborate with stakeholders to translate complex data into clear, impactful recommendations, ensuring alignment with organizational objectives. Proficiency in SQL, Power BI, Dataiku, and cloud platforms is essential to drive data-driven solutions that enhance operational efficiency and business performance within a dynamic environment.

About the team:

The Specialized Analytics Solutions team within Workforce Intelligence & Insights delivers impactful workforce analytics that guide enterprise decisions. This team addresses complex questions on associate experience using trusted data, advanced analytics, and emerging AI capabilities. Collaborating closely with leadership, they provide deep insights, scalable solutions, and clear narratives that drive action across headcount, hiring, retention, engagement, and productivity. The team combines analytical rigor, business partnership, and storytelling with an emphasis on curiosity, sound judgment, and ownership. Associates are expected to shape decisions, influence strategy, and continuously elevate the role of analytics in decision-making at scale.

What you'll do:

- Identify, validate, and integrate data sources aligned with business requirements and quality standards.

- Perform data cleansing, profiling, and quality assessments to ensure accuracy and reliability.

- Develop and maintain dashboards and visualizations using Power BI to communicate insights effectively.

- Frame ambiguous business problems and translate them into data-driven solutions leveraging SQL, big data analytics, Dataiku, and cloud platforms.

- Collaborate with stakeholders to understand business context, surface insights, and provide actionable recommendations driving key decisions.

- Support data governance by adhering to data management and quality frameworks.

- Continuously evaluate, discover, and improve analytics processes to increase efficiency, quality, and scalability.

- Mentor team members on data visualization techniques and best practices.

What you'll bring:

- Extensive experience in data analysis, data cleansing, and visualization using tools such as SQL, Power BI, and Dataiku.

- Proficiency in big data environments and managing data quality standards to ensure accuracy and reliability.

- Strong knowledge of data management principles, including governance, storage, and scalability within cloud platforms like Google Cloud Platform.

- Ability to translate complex business requirements into actionable data solutions aligned with strategic objectives.

- Expertise in exploratory data analysis and statistical techniques to identify trends and support decision-making, with curiosity to question, refine, and improve analytics processes.

- Effective communication skills to present insights and influence stakeholders across multiple business domains.

At Walmart, we offer competitive pay as well as performance-based bonus awards and other great benefits for a happier mind, body, and wallet. Health benefits include medical, vision and dental coverage. Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting. Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more. You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable. For information about PTO, see https://one.walmart.com/notices. Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart.

Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms.

**For Information About Benefits And Eligibility, See One.Walmart.**

The annual salary range for this position is $80,000.00 - $155,000.00 Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include :

-  Stock

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**Minimum Qualifications...**

~~Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.~~

Option 1: Bachelor's degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Arts, Finance or related field and 2 years' experience in data analysis, data science, statistics, or related field. Option 2: Master's degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field. Option 3: 4 years' experience in data analysis, data science, statistics, or related field.

**Preferred Qualifications...**

~~Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.~~

Data science, data analysis, statistics, or related field, Master’s degree in Business, Computer Science, Engineering, Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field, Related industry experience (for example, retail, merchandising, healthcare, eCommerce), Successful completion of assessments in data analysis and Business Intelligence tools and scripting languages (for example, SQL, Python, Spark, Scala, R, Power BI, or Tableau)

Primary Location...

806 Excellence Dr, Bentonville, AR 72716, United States of America

Walmart and its subsidiaries are committed to maintaining a drug-free workplace and has a no tolerance policy regarding the use of illegal drugs and alcohol on the job. This policy applies to all employees and aims to create a safe and productive work environment.

(USA) Senior, Data Analyst

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

Schepmont Group, LLC

The ideal candidate will use their passion for big data and analytics to provide insights to the business covering a range of topics. They will be responsible for conducting both recurring and ad hoc analysis for business users.

Overview:We are hiring a **Data Analyst ** to support data-driven decision-making through analysis, reporting, and visualization. This role offers the opportunity to work on impactful projects in a collaborative environment, turning raw data into meaningful insights.

Work Authorization & Sponsorship:We welcome candidates who may require U.S. work authorization sponsorship, including those on OPT, STEM OPT, or H1B visas. Sponsorship may be considered based on qualifications and experience.

Key Responsibilities:

- Collect, clean, and analyze large datasets to identify trends and insights

- Develop and maintain dashboards and reports using tools such as Power BI, Tableau, or similar

- Collaborate with cross-functional teams including business, operations, and engineering

- Perform data validation and ensure data integrity across systems

- Support data-driven decision-making through statistical analysis and reporting

- Assist in identifying opportunities for process improvement based on data insights

Qualifications:

- Bachelor’s degree in Data Analytics, Statistics, Computer Science, or related field

- Experience with data analysis tools (Excel, SQL, Python, R, or similar)

- Strong understanding of data analysis, visualization, and reporting techniques

- Experience with BI tools such as Tableau, Power BI, or similar

- Excellent problem-solving and communication skills

What We Offer:

- Remote work flexibility

- Competitive compensation and growth opportunities

- Exposure to a variety of data-driven projects

- Potential visa sponsorship for qualified candidates

Data Analyst (Remote)

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 Engineer – Healthcare **

**Company: ** Aaratech Inc.

**Location: ** Dallas-Fort Worth Metroplex

**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 Engineer with experience in the healthcare domain. The role involves designing, building, and maintaining data pipelines and systems to support healthcare data processing, analytics, and reporting.

**Key Responsibilities **

- Design, develop, and maintain scalable data pipelines

- Integrate data from healthcare systems such as EHR/EMR

- Ensure data quality, consistency, and integrity

- Work with large datasets for analytics and reporting

- Collaborate with data analysts, business teams, and IT stakeholders

- Support data warehousing and ETL processes

- Ensure compliance with healthcare data regulations (HIPAA)

**Qualifications **

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

- Minimum 2 years of Data Engineering experience

- Experience in healthcare domain preferred

- Strong programming skills (Python, SQL)

- Experience with data pipelines and ETL processes

**Preferred Skills **

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

- Knowledge of healthcare standards (HL7, FHIR)

- Experience with data warehouses (Snowflake, Redshift, BigQuery)

- Familiarity with Apache Spark or similar frameworks

**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.

Data Engineer

Making IT look easy.

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

SolarWinds

**Job Title: ** Junior Data Analyst

**Location: ** Austin, TX (Onsite/Hybrid)

**Job Type: ** Full-Time

**Salary: ** $80,000 – $90,000 per annum

**Job Overview: **

We are seeking a detail-oriented and analytical **Junior Data Analyst ** to join our growing team in Austin, TX. The ideal candidate will be responsible for collecting, analyzing, and interpreting data to help drive business decisions. This role is perfect for someone early in their career who is eager to build strong data analysis skills in a fast-paced environment.

**Key Responsibilities: **

- Collect, clean, and analyze large datasets to identify trends and insights

- Develop and maintain dashboards, reports, and visualizations

- Work closely with cross-functional teams to understand data needs

- Perform data validation and ensure data accuracy and integrity

- Generate reports to support business decision-making

- Assist in automating data processes and improving reporting efficiency

- Present findings in a clear and concise manner to stakeholders

**Required Qualifications: **

- Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, or a related field

- 0–2 years of experience in data analysis or a related role

- Strong knowledge of SQL for data querying

- Proficiency in Microsoft Excel (advanced functions, pivot tables)

- Basic knowledge of data visualization tools such as Tableau or Power BI

- Familiarity with Python or R is a plus

- Strong analytical and problem-solving skills

- Excellent communication and presentation abilities

**Preferred Qualifications: **

- Internship or project experience in data analytics

- Exposure to ETL processes and data warehousing concepts

- Understanding of statistical analysis and data modeling

- Experience working with cloud platforms (AWS, Azure, or GCP) is a plus

**Key Skills: **

- Data Analysis & Interpretation

- Data Visualization

- SQL & Excel

- Attention to Detail

- Critical Thinking

- Communication Skills

**Benefits: **

- Competitive salary package ($80K–$90K)

- Health, dental, and vision insurance

- Paid time off and holidays

- Career growth and learning opportunities

- Collaborative and innovative work environment

Junior Data Analyst

**Client Experience Analytics (CxA) ** is looking for a talented Data Analyst, Senior Specialist to join our team! Supporting the Institutional Investor Group, CxA aims to enhance financial well-being for all retirement participants through strategic insights and data-driven recommendations, continuously improving the institutional client experience and participant outcomes.

Aligned a key enterprise initiative, this role focuses on creating a seamless participant experience that eliminates friction, builds loyalty, and promotes positive investment behaviors; we want to bring the very best of Vanguard to retirement participants. As a senior-level individual contributor, you will connect the dots among existing workstreams and leverage advanced analytics to identify opportunities, drive strategic decision-making, and deepen our understanding of Vanguard’s participants. Additional responsibilities include performing descriptive and predictive analyses, designing and measuring experiments with statistical rigor, and visualizing data to deliver actionable insights. You will influence business and technology leaders through consultative skills and data storytelling.

If you are a strategic thinker with a passion for innovation and a proven track record in building analytics strategies and delivering complex initiatives in a cross-functional environment, we invite you to apply for this exciting opportunity.

**Role Requirements:**

- Advance Data-driven Decision Making: Utilize advanced data and analytics methods to identify opportunities, evaluate alternatives, optimize decisions, measure impact, and share insights/recommendations for continuous improvement/transformation.

- Big Picture Strategic Ideation: Connect the dots across product families, teams, and divisions to design the analytical vision, generate roadmaps and prioritize initiatives.

- Cross-Functional Collaboration: Act as a true peer in driving strategy and roadmap, working closely with cross-functional teams to facilitate effective use of data.

- Stakeholder Management: Communicate with and manage senior stakeholder relationships to drive strategic direction and roadmap development.

- Autonomy and Proactivity: Ability to carve out your own initiatives and workplan based on department priorities, map out the course, roles and responsibilities for all supporting team members.

- Growth Mindset: Be responsible for your continuous learning. Stay on top of latest analytics and data science methods, use case and technologies to drive efficiency and impact using data.

- Executive Presence: Participate in key high-priority and strategic leadership meetings and enterprise initiative discussions to maintain a big-picture viewpoint. Articulate complex concepts to a variety of audience in a crisp and impactful fashion.

- Thought Leadership: Connect diverse ideas and/or bring structure to high impact problems for business/product. Translate complex problems into an analytical framework and lead intricate projects through from ideation to completion.

- Collaborative mindset: Delegate tasks and provide tactical and strategic guidance to peer analysts, data engineers and data scientists. Serve as the analytics expert on cross-functional teams for enterprise-wide strategic initiatives.

- Analytics and Data Science Expertise: Expertise to perform data analysis from multiple sources to surface trends and insights using advanced analytical methods. Drive innovative and sophisticated experimentation across multiple families to identify and implement innovative CX solutions.

**Key Candidate Competencies:**

- Business-oriented Technical Expertise: Deep experience using analytics and data science methods to solve business problems.

- Comfort with Ambiguity: Ability to create clarity by partnering with different functions in ambiguous and challenging situations.

- Curiosity and Learning: Voracious reader of internal and external sources, taking inspiration from other industries.

- Storytelling and Influence: Strong storytelling skills and the ability to influence others.

- Autonomy: Capable of working independently and autonomously.

- Strategic and Executive Skills: Ability to define and influence at every level (above, below, peer) and have an executive presence.

- Collaborative Experience: Experience working collaboratively with different functions – Data (Data Engineering, Data Science, Business Intelligence) as well as Non-Data (Product, UX, Dev). Skilled in navigating a highly matrixed and cross-functional environment, humble yet proactive and committed leadership approach.

- Soft Skills: Executive-level written and verbal communication skills.

**Core Responsibilities:**

-  Engages with internal partners to understand business strategy, questions, and goals. Brings structure to business requests, translates requirements into an analytical project approach, and leads complex projects through completion. Delegates tasks and provides tactical and strategic guidance to peers. Serves as the analytics expert on cross-functional teams for enterprise-wide strategic initiatives.

-  Acquires and compiles structured and unstructured data and verifies its quality, accuracy, and reasonableness. Leads the development of data quality standards, and the tools and methods used to measure and improve data quality.

-  Performs analyses of data from multiple sources to surface trends and insights using advanced analytical methods and machine learning. Validates analytical techniques employed by other analysts.

-  Prepares and delivers expert level visualizations and internal presentations that translate analytic insights into tangible, actionable solutions for senior leader stakeholders to implement.

-  Develops, owns, and manages recurring analytic or reporting processes. Demonstrates expertise in data visualization and mentors analysts on data visualization best practices.

-  Develops the analytics community at Vanguard by mentoring, coaching and connecting others with resources and training. Stays abreast of emerging trends and external best practices. Participates and presents during scheduled analytics seminars.

-  Participates in special projects and performs other duties as assigned.

**Qualifications**

- Minimum of 10 years of related work experience in advanced analytics and data science within a financial services context.

-  Undergraduate degree in an analytic/quantitative field such as: Applied Mathematics, Statistics, Economics or related analytical field of study or equivalent combination of training and experience. A graduate level degree in an analytics focused field is strongly preferred.

- Extraordinary analytical skills, coupled with the ability to form hypotheses and draw meaningful insights from disparate data sources. The ability to understand data, process it, extract value from it, visualize it and communicate insights to audiences of various backgrounds, including senior management.

- Expert level skills in the following suite of data analysis tools: Data Extraction languages such as SQL. Proficiency with relational databases or Big Data platforms, Data Analysis packages (Python, R, SAS etc.) and Data Visualization packages (Tableau, etc.)

- Significant experience with advanced statistical and machine-learning methods such as: regression models, propensity models, segmentation, optimization, experimental test design, time series analysis, cohort analysis, Bayesian methods, decision trees, text analysis

**Special Factors**

**Sponsorship**

Vanguard is not offering visa sponsorship for this position.

**About Vanguard**

At Vanguard, we don't just have a mission—we're on a mission.

To work for the long-term financial wellbeing of our clients. To lead through product and services that transform our clients' lives. To learn and develop our skills as individuals and as a team. From Malvern to Melbourne, our mission drives us forward and inspires us to be our best.

**How We Work**

Vanguard has implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.

Data Analyst, Specialist

Cisco (NASDAQ: CSCO) enables people to make powerful connections-whether in business, education, philanthropy, or creativity. Cisco hardware, software, and service offerings are used to create the Internet solutions that make networks possible-providing easy access to information anywhere, at any time. 

Cisco was founded in 1984 by a small group of computer scientists from Stanford University. Since the company's inception, Cisco engineers have been leaders in the development of Internet Protocol (IP)-based networking technologies. Today, with more than 70,000 employees worldwide, this tradition of innovation continues with industry-leading products and solutions in the company's core development areas of routing and switching, as well as in advanced technologies such as home networking, IP telephony, optical networking, security, storage area networking, and wireless technology. In addition to its products, Cisco provides a broad range of service offerings, including technical support and advanced services. 

Cisco sells its products and services, both directly through its own sales force as well as through its channel partners, to large enterprises, commercial businesses, service providers, and consumers.

Industry: Software Development
Company Size: 10,001+ employees

Cisco

The application window is expected to close on: 04/30/2026

**Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received **.

**Meet The Team**

You will be joining a forward-thinking team of data scientists and product engineers dedicated to transforming complex, unstructured data into actionable insights. We operate at the intersection of advanced analytics and product innovation, working closely with service teams to solve real-world business challenges.

Our culture is defined by our commitment to Think Really Big, Play to Win, and Drive Durable Growth. We don’t just analyze data; we look for the next technological leap, compete with excellence in a fast-paced market, and build solutions that stand the test of time.

**Your Impact**

As a Data Scientist, you will play a critical role in designing and deploying machine learning frameworks that drive product and commercial success. You will own the end-to-end lifecycle of data projects—from identifying research questions and cleansing disparate data sources to deploying models into production. You will identify opportunities to apply advanced analytics to our most complex business problems, pushing the boundaries of what our data can reveal and proposing innovative, high-impact solutions. You will deliver high-quality, robust models that provide a competitive edge. Your focus on performance, accuracy, and technical excellence ensures that our products remain best-in-class. You will focus on the scalability and long-term sustainability of your models. By building reusable frameworks and monitoring systems, you ensure that our data infrastructure supports long-term business expansion and consistent value creation.

**Minimum Qualifications**

- Education & Experience: Bachelor’s degree + 7 years of related experience, Master’s degree + 4 years of related experience, or PhD + 1 year of related experience.

- Machine Learning Expertise: Proven ability to design and build machine learning frameworks, including proficiency with ML libraries and hyper-parameter tuning.

- Advanced Analytics: Demonstrated experience applying advanced analytics techniques to large, unstructured "big data" sets to identify correlations and patterns.

- Programming Proficiency: Strong coding skills (e.g., Python, R, SQL) for developing software programs, algorithms, and automated processes to integrate and evaluate data.

- Business Communication: Ability to interpret complex findings and communicate insights clearly to product, service, and business managers.

**Preferred Qualifications**

- Production Deployment: Experience overseeing the deployment of data science models into production and monitoring for long-term effectiveness.

- Specialized Techniques: Knowledge of NLP (Natural Language Processing) and NLU (Natural Language Understanding) development and testing.

- Research & Innovation: Experience contributing to patent applications, research publications, or innovative feature engineering.

- Project Leadership: Ability to lead moderately complex, end-to-end projects from technical design through completion.

- Visualization: Proficiency in designing and creating high-impact reporting and visualization tools (e.g., Tableau, PowerBI) that link data to measurable business outcomes.

Why Cisco?

At Cisco, we’re revolutionizing how data and infrastructure connect and protect organizations in the AI era – and beyond. We’ve been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint.

Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you’ll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere.

We are Cisco, and our power starts with you.

Message to applicants applying to work in the U.S. and/or Canada:

The starting salary range posted for this position is $153,700.00 to $195,400.00 and reflects the projected salary range for new hires in this position in U.S. and/or Canada locations, not including incentive compensation*, equity, or benefits.

Individual pay is determined by the candidate's hiring location, market conditions, job-related skillset, experience, qualifications, education, certifications, and/or training. The full salary range for certain locations is listed below. For locations not listed below, the recruiter can share more details about compensation for the role in your location during the hiring process.

U.S. employees are offered benefits, subject to Cisco’s plan eligibility rules, which include medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, paid parental leave, short and long-term disability coverage, and basic life insurance. Please see the Cisco careers site to discover more benefits and perks. Employees may be eligible to receive grants of Cisco restricted stock units, which vest following continued employment with Cisco for defined periods of time.

U.S. employees are eligible for paid time away as described below, subject to Cisco’s policies:

- 10 paid holidays per full calendar year, plus 1 floating holiday for non-exempt employees

- 1 paid day off for employee’s birthday, paid year-end holiday shutdown, and 4 paid days off for personal wellness determined by Cisco

- Non-exempt employees** receive 16 days of paid vacation time per full calendar year, accrued at rate of 4.92 hours per pay period for full-time employees

- Exempt employees participate in Cisco’s flexible vacation time off program, which has no defined limit on how much vacation time eligible employees may use (subject to availability and some business limitations)

- 80 hours of sick time off provided on hire date and each January 1st thereafter, and up to 80 hours of unused sick time carried forward from one calendar year to the next

- Additional paid time away may be requested to deal with critical or emergency issues for family members

- Optional 10 paid days per full calendar year to volunteer

For non-sales roles, employees are also eligible to earn annual bonuses subject to Cisco’s policies.

Employees On Sales Plans Earn Performance-based Incentive Pay On Top Of Their Base Salary, Which Is Split Between Quota And Non-quota Components, Subject To The Applicable Cisco Plan. For Quota-based Incentive Pay, Cisco Typically Pays As Follows

- .75% of incentive target for each 1% of revenue attainment up to 50% of quota;

- 1.5% of incentive target for each 1% of attainment between 50% and 75%;

- 1% of incentive target for each 1% of attainment between 75% and 100%; and

- Once performance exceeds 100% attainment, incentive rates are at or above 1% for each 1% of attainment with no cap on incentive compensation.

For non-quota-based sales performance elements such as strategic sales objectives, Cisco may pay 0% up to 125% of target. Cisco sales plans do not have a minimum threshold of performance for sales incentive compensation to be paid.

The applicable full salary ranges for this position, by specific state, are listed below:

**New York City Metro Area**

$177,600.00 - $272,400.00

**Non-Metro New York State & Washington State**

$161,400.00 - $240,500.00

-  For quota-based sales roles on Cisco’s sales plan, the ranges provided in this posting include base pay and sales target incentive compensation combined.

-  Employees in Illinois, whether exempt or non-exempt, will participate in a unique time off program to meet local requirements.

Data Scientist

Precision Technologies Corp. (PTC) is an NJ headquartered boutique professional services firm mapping the right IT talent for our customers. We are Women and Minority owned and operated company.  
Our technological capabilities are in the areas of Agile Transformation, Business Analysis, Cloud Services (AWS/Azure), Data Management, Enterprise Application Development, Devops, RPA Automation, Pega, Salesforce and UI/UX. 
We serve our clients from diverse industries with domain-specific expertise in IT, Health Care, BFSI, Telecom, E-commerce, Retail, Manufacturing, Hi-Tech, Oil & Gas, Utilities & others. Our clients present across the United States.
With rich experience & right talent pool, we are geared up to address the GAP in IT talents' DEMAND-SUPPLY through an Innovative, Best-In-Class recruiting engine, backed by a dedicated Client-Centric service focus.
Precision Technologies delivers the service to support its customer journey towards greater performance by partnering with them for a long haul. 
•         Capability to implement, manage and support the hiring plans of the customers with flexible pricing.
•         Flexible staffing model for rapid ramp up or ramp down.
•         A decentralized delivery model utilizing cost-effective, time-bound and scalable solutions.
•         T&M Resource Engagement for cost-effective delivery.
•         SOW Resource Engagement for risk-free delivery.
•         Best-In-Class Staffing Services for niche roles.
•         Comprehensive Background Checks.

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

Precision Technologies

**Job title: ** Senior Data Scientist

**Location: **Texas (Onsite)

**Employment Type: ** Full-time (W2 only, No C2C)

**Experience: ** 10+ Years

**Job Summary: **We are seeking a highly experienced **Data Scientist with 10+ years of professional experience ** in building advanced **machine learning models, statistical analysis, and data-driven solutions ** for enterprise applications. The ideal candidate will have strong expertise in **data science, predictive modeling, big data analytics, data engineering, and cloud-based AI/ML platforms **. The candidate will work closely with **data engineers, business stakeholders, and product teams ** to deliver scalable and impactful data solutions while following modern **MLOps, Agile, and DevOps practices **.

**Key Responsibilities: **

- Design, develop, and deploy **machine learning and deep learning models ** using **Python, R, Scikit-learn, TensorFlow, PyTorch, and Keras **, enabling predictive analytics and intelligent decision-making.

- Perform **data preprocessing, feature engineering, and exploratory data analysis (EDA) ** using **Pandas, NumPy, and statistical techniques **, ensuring high-quality datasets for modeling.

- Build and optimize **supervised and unsupervised learning models ** such as **regression, classification, clustering, and recommendation systems **, improving model accuracy and performance.

- Develop and implement **natural language processing (NLP) and text analytics solutions ** using **NLTK, spaCy, and transformer-based models **, enabling insights from unstructured data.

- Design and implement **big data analytics solutions ** using **Apache Spark, PySpark, Hadoop, and distributed computing frameworks **, handling large-scale datasets efficiently.

- Deploy and manage **machine learning models in production ** using **MLOps practices, Docker, Kubernetes, and CI/CD pipelines **, ensuring scalability and reliability.

- Integrate machine learning solutions with **cloud platforms such as AWS (SageMaker), Microsoft Azure ML, or Google Cloud AI/ML services **, enabling cloud-native data science workflows.

- Develop and maintain **data pipelines and workflows ** in collaboration with data engineering teams using **ETL/ELT processes and tools **, ensuring seamless data integration.

- Perform **statistical analysis and hypothesis testing ** using techniques such as **A/B testing, regression analysis, and probability modeling **.

- Create **data visualizations and dashboards ** using tools such as **Tableau, Power BI, Matplotlib, Seaborn, or Plotly **, enabling business insights and decision-making.

- Implement **model evaluation, validation, and monitoring techniques ** to ensure model performance, drift detection, and continuous improvement.

- Work with **SQL and NoSQL databases ** such as **MySQL, PostgreSQL, MongoDB, and data warehouses **, ensuring efficient data retrieval and storage.

- Collaborate with **cross-functional Agile teams **, including engineers, analysts, and stakeholders, to define data-driven solutions aligned with business goals.

- Apply **data governance, data privacy, and ethical AI practices **, ensuring compliance with regulations and standards.

- Mentor junior data scientists and contribute to **best practices in machine learning, data science, and model deployment strategies **.

**Technical Skills: **

- **Programming Languages: ** Python, R, SQL

- **Machine Learning Frameworks: ** Scikit-learn, TensorFlow, PyTorch, Keras

- **Data Processing Libraries: ** Pandas, NumPy

- **Big Data Technologies: ** Apache Spark, PySpark, Hadoop

- **NLP Tools: ** NLTK, spaCy, Transformers

- **Data Visualization: ** Tableau, Power BI, Matplotlib, Seaborn, Plotly

- **Cloud Platforms: ** AWS (SageMaker), Microsoft Azure ML, Google Cloud AI/ML

- **MLOps & Deployment: ** Docker, Kubernetes, CI/CD Pipelines

- **Databases: ** MySQL, PostgreSQL, MongoDB, Data Warehouses

- **Statistical Techniques: ** Regression, Classification, Clustering, A/B Testing

- **Version Control: ** Git, GitHub, Bitbucket, GitLab

- **ETL Tools: ** Apache Airflow, Azure Data Factory

- **Operating Systems: ** Linux, Windows

- **Methodologies: ** Agile, Scrum, DevOps, MLOps

Senior Data Scientist

We help our customers enable the full value of connectivity by creating game-changing technology and services that are easy to use, adopt and scale. Our comprehensive portfolio ranges across Networks, Digital Services, Managed Services and Emerging Business; powered by 5G and IoT platforms.

Industry: Telekommunikation
Company Size: Fler än 10 001 anställda

Ericsson

**Join our Team**

**Ericsson Inc. does not sponsor U.S work authorizations for this job position including U.S. immigration filings for initial and/or change of employer paperwork for H-1’s, H-1B1’s, E-3’s, O-1’s, and TN’s. Ericsson also does not hire F-1’s working on CPT or EAD for this position.**

**About this opportunity:**

We’re seeking an AI Data Scientist for the Americas AI Acceleration Hub within Ericsson’s Strategic Projects & Transformation unit, collaborating closely with data engineers and solution architects to turn high‑volume datasets into actionable insights that drive decisions and outcomes. This role emphasizes strong grounding in traditional ML and statistical methods (e.g., classification, regression, forecasting, linear programming), with functional use of GenAI where it adds clear value. You will primarily consume high‑quality data delivered by engineering teams and be accountable for the insights, models, and recommendations derived from that data.

**What you will do:**

- Transform large, complex datasets into clear, actionable insights using statistical analysis and machine learning (classification, regression, time‑series forecasting, and optimization via linear programming).

- Frame ambiguous business questions, propose analytical approaches, and deliver data‑backed recommendations — proactively identifying what insights matter without being prompted.

- Partner with data engineers to define data requirements and quality expectations, consuming curated pipelines from enterprise data lakes (e.g., Snowflake) to ensure reliable inputs for modeling.

- Prototype, evaluate, and operationalize models; emphasize interpretability and measurable impact over deployment alone.

- Apply GenAI selectively to augment workflows (e.g., text feature extraction, summarization, NLQ-to-insight prototypes, and data quality triage) and solutions; communicate tradeoffs between traditional ML and GenAI to non‑technical stakeholders.

- Validate data fitness for modeling (e.g., profiling, anomaly detection, leakage checks, and data quality rules) in partnership with data engineering.

- Collaborate with solution architects to integrate models into end‑to‑end systems that meet scalability, security, and compliance expectations.

- Communicate results through concise narratives, visuals, and “so‑what” recommendations that inform business strategy (e.g., segmentation and targeting strategies).

- Create repeatable prototypes and success stories that encourage adoption across teams and use cases.

**Skills you'll bring:**

- 6–8 years of professional experience in data science/ML, often progressing from data engineering into data science; demonstrated hands‑on impact is essential.

- Bachelor’s degree (or equivalent experience) in a quantitative field; emphasis on practical, hands‑on problem solving over pedigree alone.

- Strong proficiency in Python and/or R for modeling and analysis, including applied experience with statistical methods and core ML techniques (classification, regression, forecasting, optimization).

- Proven ability to derive insights from large datasets (hundreds of thousands to millions of rows) and translate findings into business actions.

- Experience working with data provided through enterprise pipelines and data lakes (e.g., Snowflake) in collaboration with data engineering teams.

- Clear, structured communication skills; ability to explain methods, assumptions, and trade‑offs to technical and non‑technical partners.

**Preferred Qualifications**

- Exposure to GenAI tools and APIs (e.g., OpenAI, Hugging Face) as a complement to traditional ML skills.

- Familiarity with cloud ecosystems used across the organization, in partnership with engineering

- Domain exposure in telecom/network analytics or adjacent enterprise domains (e.g., operations, supply chain, finance) to contextualize features, constraints.

- Experience with experimentation and model evaluation frameworks.

**What happens once you apply?**

Click Here to find all you need to know about what our typical hiring process looks like.

Ericsson uses a merit-based hiring approach that values people with different experiences, perspectives and skillsets. We truly believe this approach drives innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity employer, learn more.

If you need assistance or to request an accommodation due to a disability, please contact Ericsson at hr.direct.americas@ericsson.com.

**DISCLAIMER: ** The above statements are intended to describe the general nature and level of work being performed by employees in this position. They are not an exhaustive list of all responsibilities, duties and skills required for this position, and you may be required to perform additional job tasks as assigned.

**Primary country and city: ** United States (US) || Plano (Country/ City)

**Job details: ** Data Scientist

**Compensation And Benefits At Ericsson**

At Ericsson, we know that our people are the key to our success. We offer a competitive package to help with your individual needs and goals.

**Your Pay**

The salary range for this position is dependent on various factors including, but not limited to, location, and the candidate’s combination of job-related knowledge, qualifications, skills, education, training, and experience.

**Short-Term Variable Compensation Plan: ** Your pay also includes the opportunity for an annual bonus. Actual bonus payouts are based on performance of the business against the unit’s objectives, individual performance, and the individual bonus target. Certain eligibility and pro-ration rules apply.

**Your Health**

Ericsson offers excellent health benefits including the choice of three medical plan options and a dental plan option that allow an employee to select the level of coverage that suits their needs. Employees will receive company credits in an amount equal to the cost that Ericsson pays toward the cost of their medical and dental premiums for themselves and eligible covered dependents.

**Your Financial Security**

We invest in both your short and long-term financial wellbeing. The Ericsson US 401(k) Plan offers an automatic 3% company contribution and Ericsson match $1 for every $1 you put into the 401(k) Plan on the first 3% of your eligible pay, plus 50 cents on every $1 on the next 2% of eligible pay. When you contribute at least 5% of eligible pay, you are receiving Ericsson’s full matching contributions of 4%. Matching and company automatic contributions stop when your total eligible pay for the year reaches the IRS limits. Employees will also receive company credits in an amount equal to the cost of basic life insurance and basic accidental death and dismemberment coverage, as well as short-term and long-term disability coverage. Employees also have the option to participate in Ericsson’s Stock Purchase Plan.

**Your Time**

Your work-life balance is important to us. New employees are provided a minimum of 15 days of accrued vacation, up to 3 personal days per year, 11 annual holidays, 8 hours of volunteer time, and 80 hours of sick time annually. Please note paid time off is pro-rated based on the employee’s start date. Furthermore, Ericsson provides up to 16 weeks of paid maternity leave and 6 weeks of parental or adoption leave at 100% of pay.

**Additional Benefits**

Ericsson offers many other company-paid benefits such as financial wellness programs, educational assistance, matching gifts, and recognition programs.

AI Data Scientist

Founded in 2008, we’ve grown from a small startup to a global leader in the cannabis industry.  Our dedication to transparency, education, and community has set us apart, and today, we proudly serve cannabis to consumers and businesses in the U.S. and worldwide. 

“Freedom to choose.  Freedom to access. Freedom to enjoy.”

Industry: Software Development
Company Size: 501-1,000 employees

Weedmaps

**Senior Manager, Analytics and Insight **(Hybrid - 2 days onsite per week)

**Overview**

As the Senior Manager of Analytics & Insights, you will lead the team responsible for transforming data into trusted, actionable intelligence and data-driven strategic recommendations for teams across the organization. You will manage a cross-functional team of analysts and data scientists, driving the shift from reactive reporting to proactive, strategic insight generation. This role sits within the Data organization, reporting to the VP of Data, and serves as a critical bridge between technical data infrastructure and business decision-making. Success looks like a team that operates with high autonomy, delivers consistent metric integrity, enables self-service analytics at scale, and serves as trusted thought partners for leaders throughout the business.

**The Impact You'll Make**

- Define and execute the analytics strategy across BI, analytics, and data science functions to align with company OKRs and CTO-level priorities

- Own the organization's metrics framework, ensuring consistency, accuracy, and trustworthiness of KPIs across all business domains

- Lead the build-out of self-service analytics capabilities, including dashboard infrastructure, semantic layers, and AI-powered tooling

- Drive proactive strategic insights to improve the caliber of decision-making across the business

- Partner with Engineering, Product, Finance, and Marketing stakeholders to prioritize data workstreams and translate business questions into scalable analytical solutions and recommendations

- Identify and execute opportunities to improve team efficiency through tooling, AI integration, and cross-functional process improvement

- Oversee analytics support for critical business initiatives including ERP migrations, compliance workstreams, and platform transitions

- Present strategic findings, metric insights, and team roadmap to executive leadership and the CTO

- Design and oversee A/B testing and other experimental methodologies to validate product hypotheses

- Stay current with industry trends and best practices in analytics

**What You've Accomplished**

- Lead and develop an 6+ person team spanning analytics, business intelligence, and data science

- Own hiring, onboarding (including structured 30/60/90 plans), performance management, and career development for all direct reports

- Foster a culture of ownership, intellectual rigor, and continuous improvement, including deliberate upskilling in AI-assisted workflows

- Triage and prioritize team backlog in partnership with stakeholders, balancing strategic initiatives against ad hoc demand

- Bachelor’s degree in Business, Data Science, Statistics, or a related field; Master’s degree preferred.

- 8+ years of experience in product analytics, business intelligence, or a related field, with 3+ years in a management role.

- Strong SQL proficiency and hands-on familiarity with cloud data warehouses (e.g., Snowflake) and transformation frameworks (e.g., dbt)

- Experience managing mixed-discipline teams including analysts, data scientists, and/or BI engineers

- Demonstrated ability to drive metric standardization, data governance, and self-service infrastructure at scale

- Strong executive communication skills with a track record of influencing decisions at the VP/C-suite level

- Proficiency in data analysis tools (e.g., SQL, Python) and visualization platforms (e.g., Sigma, Tableau)

- Strong understanding of statistical methods, A/B testing, and user research techniques

- Proven ability to manage projects effectively and work collaboratively in a fast-paced environment

**Bonus Points**

- Experience with Sigma, Tableau, or comparable BI platforms, particularly in a migration or platform consolidation context

- Familiarity with AI/LLM tooling applied to analytics workflows, documentation, or operational efficiency

- Background in ecommerce, marketplace, or regulated industries (cannabis, pharma, fintech)

- Experience supporting SOX-adjacent data validation or ERP integration workstreams

- Exposure to product analytics, experimentation frameworks, and attribution modeling

~~The base pay range for this position is $169,076 - $186,550 per year~~

**2026 US Benefits For Full Time, Regular Employees**

- Physical Health (Medical, Dental & Vision)

- 100% employer-paid premium for employees

- Up to 80% coverage for dependents

- Company HSA contribution with the High Deductible Health Plan

- 401(k) Retirement Plan (employer will match contribution up to 3.5% of employee contribution)

- Basic Life, Voluntary Life and AD&D Insurance options

- Supplemental, voluntary benefits

- Student Loan Repayment/529 Education Savings with a monthly company contribution

- FSA (Medical, Dependent, Transit and Parking)

- Voluntary Life and AD&D Insurance

- Critical Illness Insurance

- Accident Insurance

- Short- and Long-term Disability Insurance

- Pet Insurance

- Identity theft protection

- Legal access to a network of attorneys

- PTO, paid sick leave, and company holidays (including a 2026 holiday shutdown)

- Paid parental leave

**Why Work at Weedmaps?**

Life at Weedmaps means innovation and heart. Come join us if you care about the plant, the people who love it, and are ready to let your talent shine. We foster a bustling and collaborative culture that revolves around an environment that focuses on the benefits of weed, and the community that supports it.

You too can have a hand in shaping the industry’s future; ready to roll with us?

See how we’ve grown—our journey, leadership team, and what’s next at Weedmaps.com/corporate

**About Weedmaps**

Founded in 2008, we’ve grown from a small startup to a global leader in the cannabis industry. Our dedication to transparency, education, and community has set us apart, and today, we proudly serve cannabis to consumers and businesses in the U.S. and worldwide.

“Freedom to choose. Freedom to access. Freedom to enjoy.”

**Notice To Prospective Weedmaps Job Applicants**

Our team has been made aware of incidents involving LinkedIn, Telegram, and Facebook accounts impersonating Weedmaps recruiters. These individuals are attempting to use our company name to solicit payment from prospective candidates interested in applying for jobs at our company. Our team is actively working to combat these attempts, but in the meantime, please be mindful of the following:

- Our recruiters will always communicate with candidates through an @weedmaps.com email address.

- CORRECT: jlebowski@weedmaps.com

- INCORRECT: jlebowski@gmail.com

- Our recruiters will NEVER ask for or attempt to solicit payment from applicants in order to apply, interview, or work for Weedmaps.

- If you are interested in a role at Weedmaps, please apply through our established channels.

- Weedmaps Careers Page or LinkedIn

If you are unsure if a communication is legitimate, please contact our recruitment team at talentops@weedmaps.com and they will happily confirm for you. Thank you for your vigilance and we appreciate your interest in working with us!

Weedmaps is an equal opportunity employer and makes employment decisions on the basis of merit. The Company prohibits unlawful discrimination against employees or applicants based on race (including traits historically associated with race, such as hair texture and protective hairstyles), religion and religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, age, military status, veteran status, uniformed service member status, sexual orientation, transgender identity, citizenship status, pregnancy, or any other consideration made unlawful by federal, state, or local laws. The Company also prohibits unlawful discrimination based on the perception that anyone has any of those characteristics, or is associated with a person who has or is perceived as having any of those characteristics. Our company uses E-Verify to confirm the employment eligibility of all newly hired employees. To learn more about E-Verify, including your rights and responsibilities, please visit www.dhs.gov/E-Verify.

Applicants are entitled to reasonable accommodations under the terms of the Americans with Disabilities Act and applicable state/local laws, unless the accommodation presents undue hardship. Please email us at peopleoperations at weedmaps.com if you would like to confidentially discuss a potential accommodation during the interview process.

Senior Manager, Analytics and Insight (Hybrid)

Based in Fort Wayne, Ind., we are the only U.S.-based, member-owned, comprehensive and fully integrated hardware, lumber and building materials buying cooperative in the home improvement industry. With annual sales of nearly $5 billion, we are proudly serving thousands of member-owned locations throughout the United States and more than 50 other countries.

In addition to our low up-front prices, we provide our members with consistently high year-end rebates—more than $1 billion in the last decade—which enables them to reinvest in their stores by expanding merchandise selection through additional locations and making capital improvements.

We have a long-standing history of strength and stability, driven by our industry-leading lowest cost of operations—just 2.12% for the 2017 fiscal year. We continue to maintain the highest credit rating in our distribution channel.

Interested in joining our team? With a variety of different disciplines and opportunities to explore new roles, you can find a career with us that brings out the best in you. Visit www.doitbestcareers.com to learn more.

Industry: Wholesale
Company Size: 1,001-5,000 employees

Do it Best

Location: Fort Wayne, IN

Level: Entry to Mid-Level

Division / Department: Information Technology / Data & Analytics

Reports to: Divisional Manager, Enterprise Data

Travel: Minimal

**About the Role:**

At Do it Best, we combine a cooperative mission with modern technology to serve thousands of member-owned locations. We’re building out our data science practice and looking for people who want to work at the intersection of advanced analytics, innovation, and business strategy. If you're excited by meaningful problems and motivated by measurable impact, you'll find this role both rewarding and energizing.

As a data scientist, you’ll develop models, run experiments, and uncover patterns that guide strategic and operational decisions. You’ll work closely with analysts, engineers, and business stakeholders to frame problems, test hypotheses, and deliver solutions that create measurable value. In addition to contributing hands-on, you’ll help elevate the team’s technical capabilities by sharing best practices and shaping how we apply data science across the organization.

**Key Responsibilities:**

- Collaborate with analytics team members and cross-functional partners to design and deliver impactful data-driven solutions.

- Apply statistical and machine learning techniques to solve real-world business problems, forecast outcomes, and guide decision-making.

- Conduct exploratory research to identify emerging opportunities where data science can create a competitive advantage.

- Design, prototype, and deploy AI/ML models to automate processes, improve performance, and drive measurable business impact.

- Translate complex technical findings into accessible insights through visualizations, presentations, and storytelling.

- Write internal research papers and white papers to document methods, share discoveries, and support data-informed strategic planning.

- Stay current with industry trends, tools, and academic research to continually improve our methodologies and capabilities.

**Education and Experience:**

- Bachelor’s degree in a quantitative field such as Data Science, Computer Science, Statistics, Applied Mathematics, Operations Research, or Engineering; or equivalent combination of education and 4+ years of relevant, hands-on experience in data science or advanced analytics roles.

- Strong proficiency in Python for data analysis, modeling, and machine learning.

- Solid foundation in applied statistics, including hypothesis testing, regression, A/B testing, and time series analysis.

- Demonstrated experience designing and executing machine learning workflows, including feature engineering, model development, validation, deployment, and performance monitoring.

- Hands-on experience with experimentation frameworks, including causal inference methods and controlled testing, to support data-driven decision-making.

- Proven ability to gather business requirements and translate them into well-defined analytical or predictive modeling projects.

- Familiarity with other relevant languages and tools used in data science such as SQL, R, Scala/Spark, or Julia is a plus.

**Skills and Abilities:**

- Strong problem-solving and critical thinking capabilities.

- Clear and concise communication skills, both verbal and written.

- A self-starter who thrives in collaborative environments.

- Familiarity with the software development lifecycle and Agile methodologies.

**What We Offer:**

- Competitive insurance coverage (medical, dental, vision)

- Paid time off and paid holidays

- Profit sharing and bonus opportunities

- Retirement savings account and planning support

- Tuition and education reimbursement

- Health and wellness reimbursements

- Growth and career development opportunities

**About Do it Best:**

Based in Fort Wayne, IN, Do it Best is the only US-based, member-owned comprehensive and fully integrated hardware, lumber, and building materials buying cooperative in the home improvement industry. With annual sales of nearly $6 billion, Do it Best serves thousands of member-owned locations across the United States and in more than 60 other countries, and is now part of the Do it Best Group, the world’s largest independent home improvement co-op. For more information, visit doitbestonline.com and follow us on Facebook, Instagram, and LinkedIn.

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