Data Scientist

About Numerator

At Numerator, we’re reinventing the market research industry. Tomorrow’s success starts with today’s market intelligence, and we empower the world’s leading brands and retailers with unmatched insights into consumer behavior and the influencers that shape it.

We are a fast-growing, data-driven company, and this is your chance to have a direct impact on transforming how businesses understand and act on consumer insights.

About the Role

Numerator is seeking a Senior Data Scientist to join our growing Data team. This role offers the opportunity to work on massive proprietary datasets with end-to-end ownership of impactful projects.

As a Senior Data Scientist, you’ll drive the discovery, design, and deployment of data science services across multiple SaaS products. You will collaborate across Product, Data, and Engineering teams to develop solutions that improve methodologies, automate systems, and create innovative data products.

This is a high-visibility, high-impact position where you’ll influence Numerator’s evolution while helping to shape the future of market intelligence.

Key Responsibilities

• Lead technical planning, execution, and mentorship for other data scientists.

• Develop and implement new product features, data products, and algorithmic improvements.

• Partner with Product, Data, and Engineering teams to deliver scalable data solutions.

• Lead projects involving predictive modeling, segmentation, forecasting, and classification.

• Communicate outcomes, insights, and innovations to stakeholders.

• Act as a subject matter expert for internal and external partners.

What You’ll Bring

• BS or PhD in Mathematics, Statistics, Computer Science, Economics, Physics, or a related field.

• 5+ years of experience as a Data Scientist (2+ years with PhD).

• Proven leadership experience (manager, mentor, or team lead).

• Proficiency in Python and SQL.

• Strong communication and data storytelling skills for non-technical audiences.

• Experience with defining metrics, setting KPIs, and monitoring progress.

• Hands-on expertise in survey/panel data, weighting, imputation, and quality reviews.

Nice to Haves

• Experience in CPG, FMCG, or retail data analytics.

• Cloud and production experience with AWS, Airflow, SageMaker.

• Familiarity with Snowflake, MySQL, or Postgres.

• Agile methodologies for scoping and estimating data science projects.

• Background in user data analytics and behavioral modeling.

• Passion for innovation, product opportunities, and business growth.

What We Offer

• Inclusive and collaborative company culture.

• Direct impact on transforming the market research industry.

• Ownership of impactful data science solutions.

• Competitive compensation package.

• Volunteer time off + charitable donation matching.

• Career growth through mentorship, leadership training, and conferences.

• Hackathons, Lunch & Learns, and innovation-driven culture.

• Excellent benefits including health/vision/dental, unlimited PTO, flexible schedule, recharge days, 401(k) matching, travel reimbursement, and more.