Director, Data Science
Job Location:
Chicago, IL - USA
Monthly Salary:
Posted:
Application Deadline:
Vacancies:
Job Summary
At Numerator understanding consumers begins with one of the industrys 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 Numerators 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 doesnt and the methodologies that keep it accurate current and trustworthy. Youll partner closely with Market Science Engineering Product and GTM to turn that signal into products and estimates clients rely on.
Were 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 Youll 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 Numerators methodology and keep client needs central to the teams 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 Numerators 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 Numerators 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
8 years applying advanced statistical modeling to large complex real-world datasets
Experience leading data science teams including developing managers or leading through other leaders
Deep expertise in statistical modeling machine learning and probabilistic reasoning
Strong grounding in panel survey or sampling methodology weighting representativeness and measurement science
Experience working with noisy observational data and developing methods to improve data quality representativeness or inference
Experience developing production methodologies rather than exploratory analyses and designing statistical systems rather than simply applying existing techniques
Strong programming skills in Python with working knowledge of SQL
Excellent communication skills with the ability to explain complex statistical concepts to diverse audiences including external/client audiences
Youll stand out if you have:
Experience with Bayesian statistics hierarchical modeling probabilistic inference or state-space models
Experience with causal inference experimental design or behavioral modeling
Experience developing statistical methods for consumer retail marketing or longitudinal datasets
A demonstrated ability to challenge existing methodologies and introduce new scientific approaches into production
A systems-thinking approach that considers how improvements in one area influence the broader measurement platform
Required Experience:
Director
About Company
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 be
