Applied Data Scientist — Consumer Insights & Modeling

Numerator / Market Track, LLC; Chicago (IL); On-site; USD 110,000 - 160,000; Full time

Benefits offered by this job

Health insurance

Vision and dental coverage

Unlimited PTO

401(k) matching

Travel reimbursement

Mentorship and conferences

Job summary

Numerator's Data Science team provides statistical and methodological leadership across the organization, developing the methodologies, tools, and data products that support our products. This role focuses on the consumer purchase panel underlying our largest products, with opportunities to contribute to other data science initiatives.

You will design, implement, and productionize solutions, working with product, engineering, data operations and business partners.

Qualifications

• A bachelor's or advanced degree in Statistics, Mathematics, Data Science, Computer Science, Economics, Physics, or another quantitative field, or equivalent practical experience.
• Two to five years of industry experience developing and delivering data science solutions.
• A strong foundation in applied statistics, with experience applying statistical modeling, optimization, or other quantitative methods to real-world data problems.
• Proficiency in Python and SQL, including experience developing reusable, well-structured code and working with large, complex datasets.

Responsibilities

• Design and implement statistical methodologies that improve representativeness, stability, and quality of Numerator's products.
• Develop data science solutions to problems involving consumer behavior, panel composition, and data quality using sampling, weighting, statistical modeling, classification, predictive modeling, anomaly detection, and optimization.
• Build scalable Python and SQL solutions, internal tools, and data products that turn statistical methodologies into reliable production workflows.
• Develop metrics, monitoring, and validation frameworks to evaluate system performance and identify unexpected or unintended behavior.
• Contribute throughout the project lifecycle, from problem definition and exploration through implementation, testing, deployment, and ongoing evaluation.
• Work closely with Product, Engineering, Data Operations, and business partners to shape requirements and develop solutions that are both statistically sound and practical to use.
• Communicate methodologies, findings, assumptions, and tradeoffs clearly to technical and non-technical audiences.

Skills

Python

SQL

Statistics

Data science

Problem solving

Communication

Survey research

Production workflows

Education

Bachelor's degree in Statistics, Mathematics, Data Science, Computer Science, Economics, Physics, or related field

Tools

Snowflake

AWS

Airflow

GitHub

Job description

Numerator's Data Science team provides statistical and methodological leadership across the organization, developing the methodologies, tools, and data products that support our products. This role focuses on the consumer purchase panel underlying our largest products, with opportunities to contribute to other data science initiatives.

You will design, implement, and productionize solutions, working with product, engineering, data operations and business partners.