About Careertakes

👉 Important disclosure: Careertakes is a third-party recruiting platform supporting this hiring process. If selected, you will be employed directly by our client, Research Services.

Applicants for this role may also receive access to additional matched opportunities through the Careertakes platform.

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What You’ll Do

Confidential Client’s PXT Central Science team is seeking an entry-level Data Scientist who will translate complex business questions into rigorous quantitative frameworks, build scalable models and prototypes, and communicate actionable results that improve employee experience across the organization. This role blends statistics, machine learning (including Generative AI), product thinking, and clear data storytelling.

• Own the design, development, and maintenance of scalable statistical and machine learning models and prototypes to measure and improve employee experience.
• Work with scientists, engineers, and product partners to identify root causes of employee experience gaps and define data-driven interventions.
• Implement prototypes and production-ready services leveraging modern data stacks and cloud-scale tooling.
• Produce clear technical documentation, reproducible analysis, and well-constructed visualizations.
• Present results and recommendations to audiences with varying technical backgrounds and influence product and operational decisions.
• Keep current with emerging methods and tools (ML, GenAI, large-scale data processing) and apply them thoughtfully to the team’s priorities.

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Team & Impact

The PXT Central Science team applies economics, behavioral science, statistics, and machine learning to proactively identify process improvements that enhance employee well-being and operational outcomes. You will join an interdisciplinary group of data scientists, engineers, and UX professionals building solutions that affect thousands to millions of employees.

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Basic Qualifications

Applicants must demonstrate:

• 1+ years using data querying languages (e.g., SQL) and scripting languages (e.g., Python) or statistical tools (e.g., R, SAS, Matlab).
• 2+ years experience as a data or research scientist, statistician, or quantitative analyst working with complex, large-scale data.
• 1+ years creating or contributing to research papers, educational content, or technical writing.
• Master’s degree in a STEM field, or equivalent professional experience in STEM.

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Preferred Qualifications

Strong candidates may also have:

• Ph.D. in a STEM discipline.
• Familiarity with statistical packages and BI tools (R, SAS, SPSS, S-PLUS, etc.).
• Practical machine learning knowledge and experience applying ML to real-world problems.
• Experience with clustered data processing tools (Hadoop, Spark, Hive).
• Experience evaluating or working with AI systems and GenAI solutions.
• Proven ability to convert quantitative analysis into business impact and to communicate complex ideas clearly in writing and presentations.

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Location & Employment Type

This position is based in Virginia, US. Employment type: FULL_TIME.

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Compensation & Benefits

The source posting lists a base salary range for Virginia roles. For this opening the base salary range is: 108,300 - 160,000 USD annually. Final compensation will be determined by experience, qualifications, and location. Our client also offers additional benefits which may include health insurance, retirement plan options, paid time off, and equity or bonus components.

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Legal & Accessibility

Confidential Client and Careertakes are committed to reasonable accommodation throughout the hiring process. If you require a workplace accommodation for the application, interview, or onboarding process, please contact your Careertakes recruiter or the listed hiring contact.

Confidential Client follows all applicable U.S. federal, state, and local employment laws. Applicants will be considered without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or protected veteran status.

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Equal Opportunity & Hiring Transparency

Careertakes and our client are Equal Opportunity Employers committed to building a diverse and inclusive workforce. We prohibit discrimination or harassment of any kind. To support a fair and efficient hiring process, AI tools may be used to assist with application review or resume screening. These tools do not replace human decision-making. Final hiring decisions are made by people.

If you have questions about how your data is used, please contact us directly.