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, Technology, Information and Internet.

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

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Role Overview

Confidential Client is hiring a hands-on Data Scientist to build, scale, and maintain production-grade market-insight and measurement products. You will turn alternative datasets (receipts, clickstream, transaction data, ad/media signals, and external benchmarks) into explainable, client-ready metrics like market share, media-spend estimates, and channel sizing. This role emphasizes delivery, operational quality, and ownership of models in production—working closely with Engineering, Product, and Operations.

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What You’ll Do

• Design, build, and maintain models that convert alternative data (email/digital receipts, clickstream, credit-card transactions, ad signals) into market share, sales, and competitive insights.
• Build and validate media-spend estimation methodologies combining observed signals, coverage assumptions, calibration factors, external benchmarks, and uncertainty ranges.
• Develop channel- and market-sizing models that estimate opportunity from incomplete or biased data sources.
• Translate noisy source signals into explainable spend, share, and channel-size outputs suitable for clients and downstream systems.
• Implement and maintain projection, normalization, and estimation methodologies for production use.
• Combine overlapping/ complementary data sources into coherent, scalable estimation frameworks.
• Partner with Engineering to design efficient, scalable data pipelines from raw ingestion through client-facing outputs.
• Define and enforce data quality checks, validation rules, and monitoring across pipelines; investigate and resolve anomalies or regressions.
• Own scientific and methodological integrity of production outputs, including documentation, change control, and QA processes.
• Support Product and Ops with methodological input, ad-hoc analyses, and model iteration focused on stability and explainability.

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Qualifications

• 5+ years in Data Science or a closely related analytical role with hands-on responsibility for production data products, models, or decision-support systems.
• BS or MS in a quantitative field (Mathematics, Statistics, Computer Science, Engineering, Physics, or similar).
• Strong statistical and quantitative background; experience with projection, calibration, sampling-bias correction, benchmark reconciliation, and uncertainty quantification.
• Advanced Python proficiency (pandas, NumPy, scikit-learn or similar).
• Strong SQL skills and experience working with large analytical datasets.
• Experience using Large Language Models (LLMs) to improve productivity in data workflows (exploration, code development, documentation, QA support).
• Experience designing robust, testable, maintainable workflows that cover raw data → modeling → QA → delivery.
• Proven track record of shipping and operating models in production with attention to monitoring and reproducibility.

Preferred experience (not required but strongly valued):

• Prior work with alternative datasets (email/digital receipts, clickstream, transaction-level data).
• Experience building Market Share, Market Insights, Sales Measurement, or Media Measurement products.
• Familiarity with media metrics (CPM, rate cards, campaign measurement, share-of-voice).
• Experience correcting for panel coverage, sampling bias, sparse observations, missing channels, and external benchmark calibration.
• Domain experience in Consumer Durables, Retail, Financial Services, and/or CPG.
• Familiarity with cloud data platforms and distributed processing (e.g., Snowflake, Spark, AWS).

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Compensation & Benefits

• Base salary range: $150,000–$200,000 annually.
• Eligibility for an annual discretionary performance bonus (subject to plan terms).
• Medical, Dental, Vision, and Life Insurance.
• Flexible Spending Account (FSA) and Health Reimbursement Arrangement (HRA).
• 401(k) Retirement Plan with company matching.
• Flexible Time Off and Paid Parental Leave.

Note: The listed salary range reflects the expected compensation for candidates in this role in Chicago, IL. Actual pay within the range will depend on experience, skills, and location.

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Location & Work Authorization

• Location: Chicago, IL — hybrid preferred; remote considered on a case-by-case basis.
• Applicants must be legally authorized to work in the United States. Confidential Client may not be able to sponsor visas for this role.

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Why You’ll Like Working with Our Client

You’ll join a growing team focused on high-impact products used by Fortune 1000 consumer brands and retailers. This is a delivery-oriented, high-ownership role that offers opportunities to improve production systems, define robust methodologies, and directly influence product outcomes used by commercial teams and clients.

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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.