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Manager Conservation Data Science Jobs in Chicago, IL

Numerator

Director, Data Science

Chicago, IL

Lead, coach, and develop a team of data scientists and data science managers focused on consumer behavior, panel methodology, and measurement science * Grow the leaders on your team -- developing ...

Numerator

Director, Data Science

Chicago, IL

Lead, coach, and develop a team of data scientists and data science managers focused on consumer behavior, panel methodology, and measurement science * Grow the leaders on your team -- developing ...

Sonsoft Inc

Data Science/Analytics

Chicago, IL

Retail Execution - Demand Forecasting/Inventory Management/Supply Chain, CRM, Sales and Operation ... Data Understanding of Sales, Inventory, Store, Product and Promotion Data. * Ability to translate ...

Sonsoft Inc

Data Science Analytics

Chicago, IL

Retail Execution - Demand Forecasting/Inventory Management/Supply Chain, CRM, Sales, and Operation ... Data Understanding of Sales, Inventory, Store, Product and Promotion Data * Ability to translate ...

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As of Aug 14, 2026, the average yearly pay for manager conservation data science in Chicago, IL is $100,073.00, according to ZipRecruiter salary data. Most workers in this role earn between $68,000.00 and $129,300.00 per year, depending on experience, location, and employer.

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Director, Data Science

Numerator

Chicago, IL

Full-time

Re-posted 6 days ago

Job description

At Numerator, understanding consumers begins with one of the industry’s richest and most comprehensive views of real-world purchasing behavior. For more than a decade, Numerator has pioneered and led the science of representing consumer purchasing behavior across retailers, channels, brands, categories, demographics, and geographies.  

As Director of Data Science, you will lead the team responsible for Numerator's consumer panel — the quality, currency, and representativeness of the signal at the heart of our data. Your team owns how well the panel reflects the population, how we understand where it doesn't, and the methodologies that keep it accurate, current, and trustworthy. You'll partner closely with Market Science, Engineering, Product, and GTM to turn that signal into products and estimates clients rely on.

We’re looking for a leader who enjoys challenging assumptions, translating client needs into innovation, and developing exceptional data scientists. You should be equally comfortable debating statistical methodology, mentoring a team, partnering with Engineering and Product, and explaining complex concepts in language that drives better business decisions.

What You'll Do:

Team Leadership:

  • Lead, coach, and develop a team of data scientists and data science managers focused on consumer behavior, panel methodology, and measurement science

  • Grow the leaders on your team — developing managers, not only individual contributors — and raise the technical bar through mentorship, methodology reviews, and adoption of modern statistical approaches

  • Foster a culture of scientific curiosity, rigor, and peer review, where decisions are grounded in evidence and healthy debate rather than precedent or intuition

  • Build an AI-native data science team by thoughtfully integrating AI into research, experimentation, software development, and scientific workflows — helping scientists move faster while maintaining rigorous standards

  • Maintain regular engagement with clients to deepen understanding of their challenges, build confidence in Numerator's methodology, and keep client needs central to the team's priorities

Consumer Science & Methodology 

  • Own the quality, currency, and representativeness of the panel signal end to end — advancing methods for attribution completeness, compliance, anomaly detection, and keeping panelist demographics current

  • Characterize how the panel represents — and mis-represents — the population, treating that as a first-class, proactive modeling discipline rather than reactive data cleanup

  • Steward the panel as a living asset, partnering across the business on recruitment, engagement, and panel health, and turning evidence of where the panel is thin into targeted, prioritized investment

  • Design methodologies that improve the stability, consistency, explainability, and scientific defensibility of Numerator's consumer data

Statistical Innovation

  • Challenge existing approaches through first-principles thinking, and research, prototype, and productionize new statistical and machine learning methods where they strengthen the platform

  • Partner with Market Science to advance the statistical foundations of Numerator's products

Cross-Functional Leadership

  • Partner closely with Market Science, Engineering, Product, and GTM — contributing the deep panel understanding that powers the broader measurement system, and translating scientific advances into scalable product capabilities

  • Communicate complex technical concepts clearly to technical and non-technical audiences

  • Balance scientific rigor with practical business impact and client value

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