Numerator Verified

Market Research, Data Analytics, Consumer Intelligence, SaaS, Business Intelligence

Data Scientist

RemoteRemoteFull TimePosted 1 month agoVisa sponsorship available

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Required skills

statistical methodologies
consumer behavior
panel composition
data quality
sampling
weighting
statistical modeling
classification
predictive modeling
anomaly detection

Nice to have

applied statistics
data investigation
methodology development
practical implementation
tradeoffs
technical expertise

Role summary

Numerator is seeking a Data Scientist to provide statistical and methodological leadership. This role focuses on the consumer purchase panel, developing methodologies, tools, and data products using applied statistics, data investigation, and practical implementation. Responsibilities include designing and implementing statistical methodologies, developing data science solutions for consumer behavior and data quality, building scalable Python and SQL workflows, creating metrics and monitoring frameworks, and collaborating with cross-functional teams. The ideal candidate will communicate findings clearly to diverse audiences and contribute throughout the project lifecycle.

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 is a wide-ranging applied data science role focused primarily on the consumer purchase panel underlying our largest products, with opportunities to contribute to other complex data science initiatives across Numerator’s broader product portfolio. The work combines applied statistics, data investigation, methodology development, and practical implementation. Many of the questions we tackle do not have a single observable right answer, requiring us to combine statistical evidence, product context, and subject-matter judgment to understand tradeoffs and determine whether a solution improves the product as a whole. As your expertise grows, you will take on increasingly complex work and have opportunities to deepen your technical expertise, lead projects, improve team practices, and shape how we work.

How You’ll Spend Your Time

Design and implement statistical methodologies that improve the representativeness, stability, and quality of Numerator’s products.
Develop data science solutions to problems involving consumer behavior, panel composition, and data quality using techniques such as 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.

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