Data Scientist
The Data Scientist at Confidential Client leads the development and implementation of advanced statistical methodologies to enhance the quality and representativeness of consumer purchase panel data. This role involves designing scalable data science solutions using Python and SQL, collaborating cross-functionally to deliver statistically sound and practical products, and communicating complex findings to diverse audiences. The position offers opportunities for technical growth, project leadership, and contributing to innovative market research products.
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, IT Services and IT Consulting, Market Research, Information Services.
Applicants for this role may also receive access to additional matched opportunities through the Careertakes platform.
What You’ll Do
This is an applied Data Scientist role focused on consumer purchase panel data and other product-facing data science initiatives. You will design and implement statistical methodologies, build production-ready Python and SQL solutions, and work cross-functionally to deliver reliable data products.
- Design and implement statistical methods to improve representativeness, stability, and overall data quality
- Apply sampling, weighting, modeling, classification, predictive modeling, anomaly detection, and optimization techniques to real-world consumer behavior data
- Build scalable Python and SQL pipelines, internal tools, and data products that operationalize methodologies into production workflows
- Develop monitoring, validation, and metrics frameworks to evaluate system performance and detect unexpected behavior
- Contribute across the project lifecycle: problem definition, exploration, implementation, testing, deployment, and ongoing evaluation
- Collaborate closely with Product, Engineering, Data Operations, and business partners to shape requirements and deliver practical, statistically sound solutions
- Communicate methods, assumptions, and tradeoffs clearly to both technical and non-technical stakeholders
What We’re Looking For
- Bachelor’s or advanced degree in Statistics, Mathematics, Data Science, Computer Science, Economics, Physics, or a quantitative field — or equivalent practical experience
- 2–5 years of industry experience delivering data science solutions
- Strong foundation in applied statistics and experience applying statistical modeling, optimization, or other quantitative methods to messy, real-world data
- Proficiency in Python and SQL; experience writing reusable, well-structured code for large complex datasets
- Comfortable working through open-ended problems, investigating unexpected results, and iterating with guidance and cross-functional input
- Familiarity with survey research or consumer panels (sampling, weighting, bias correction, imputation) is helpful but not required
- Experience with user-level or behavioral data and production data-science workflows/tools (Snowflake, AWS, Airflow, GitHub) is a plus
- Interest in AI-powered tools and workflows and in applying emerging technologies to improve productivity and outcomes
Nice-to-Have / Bonus Skills
- Hands-on experience with consumer panel or survey methodologies
- Experience implementing monitoring and validation systems for production ML or statistical pipelines
- Prior work on sampling design, weighting strategies, or bias-correction approaches
Compensation & Location
- Location: Chicago, IL (on-site or hybrid per client policy)
- Posted salary range (provided by source): USD $106,000 — $146,300 per year. Actual pay will be determined by factors including experience and location in accordance with applicable law.
What We Offer
- Inclusive, collaborative culture with support for career growth, mentorship, and training
- Market-competitive total compensation and strong benefits package (health, vision, dental, Personal Spending Account)
- Unlimited PTO, flexible scheduling, 401(k) matching, volunteer time off, charitable donation matching, travel reimbursement, and more
Notes on Hiring & Data Use
Careertakes and our client follow all applicable US employment laws. Reasonable accommodations are available for applicants with disabilities during the hiring process — please contact Careertakes if you need assistance.
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.
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