Data Scientist, Product & Growth Analytics

Medal.TV; New York (NY); On-site; USD 90,000 - 130,000; Full time

Job summary

Medal is seeking a data analytics role to own how we learn about users, from the testing roadmap to instrumentation and the data pipeline. You will publish KPI reports and deep dives that shape product and business decisions.

You will evangelize data, set roadmaps, and collaborate with product and engineering teams to ensure robust telemetry, pricing insights, and cross-functional impact.

Qualifications

• 3–5 years of experience in product analytics or a master’s degree in statistics or a related field.
• Applied statistics depth: regression, experimental design, causal inference; Bayesian methods a plus.
• Experience coordinating with engineers on release cycles in CI/CD environments.
• Fluent in analytics platforms like Amplitude or BI tools such as Tableau.
• Experience with event-level data at consumer scale and data warehouses (BigQuery, Snowflake, Airflow).
• Strong SQL, Python, or R for analysis code.

Responsibilities

• Design and analyze experiments end-to-end, defining sample size, guardrail metrics, and readouts.
• Configure test structures to support multi-test pipelines and causal analysis when needed.
• Develop the analytics instrumentation strategy and ensure reliable telemetry and data scaffolding.
• Lead KPI reporting, data storytelling, and publish insights internally and with partners.
• Contribute to team roadmaps and evangelize data-driven decision making across the company.
• Support pricing and upsell testing through data insights and experiments.
• Be the data backbone for industry and brand thought leadership and cross-functional decisions.
• Touch analytics and statistics across advertising, pricing, and product decisions.

Skills

SQL

Python/R

Amplitude

Tableau

BigQuery

Snowflake

Airflow

Education

Master's degree in statistics or related field

Tools

BigQuery

Snowflake

Airflow

Job description

Medal is seeking a data analytics role to own how we learn about users, from the testing roadmap to instrumentation and the data pipeline. You will publish KPI reports and deep dives that shape product and business decisions.

You will evangelize data, set roadmaps, and collaborate with product and engineering teams to ensure robust telemetry, pricing insights, and cross-functional impact.