Data Scientist, Business & Product

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

About the Company

General Intuition is the frontier lab for acting in space and time. We build large action models and world models that can perceive, predict, and act across virtual and physical environments. General Intuition builds on the strength of Medal, the world's largest and fastest-growing platform for gaming clips, where millions of gamers capture, share, and discover new games every year. We recently raised $320M at a $2.3B valuation led by Khosla Ventures with participation from General Catalyst, Eric Schmidt, and Jeff Bezos, to discover the next generation of real-world intelligence.

The Role

You'll be part of a lean, high-ownership data team at Medal, working directly with business and product leadership. You'll own how we learn about our users end-to-end: the company-wide testing roadmap, our analytics instrumentation, the data pipeline, and KPI reporting, plus the deep dives and thought-leadership publications that come out of it. You'll set your own roadmap, evangelize the data so everyone understands it better, and have real influence on what we build next.

Key Responsibilities

• Design and analyze experiments end-to-end: help affirm the team’s hypothesis and design experiment sample size, guardrail metrics, control configuration, and the resulting readout.

• You will configure test structure to yield the right information and manage a complex multi-test pipeline. You know how to run causal analysis when a clean A/B test isn’t possible. You understand that multiple things will run at the same time.

• You help build the strategy behind our analytics instrumentation and facilitate the collection and reporting of the company’s key performance indicators. When tracking is wrong or missing, you work with our front-end engineers to build appropriate telemetry and data scaffolding.

• You will hunt for opportunities in data that can inform strategy.

• You will communicate and evangelize against the data and help everyone have a better understanding. Your recommendations include a confidence interval and effect size.

• You will participate in team planning and roadmapping by contributing your insights and expertise.

• You inform the quant behind pricing, including willingness to pay, conjoint, price elasticity, and offer testing in upsells and bundles.

• You are the data backbone for industry and brand thought leadership (Medal trends and how they line up with macro trends), both co-published with partners and self-published.

• Across the board, you will touch analytics and statistical analysis in a cross-functional capacity to help inform both business decisions (advertising incrementality, subscription pricing, and conversion) and product decisions.

Attitude / Culture

• 3 to 5 years of experience managing and researching product analytics or a master’s degree in statistics or a related field.

• Applied statistics depth: regression, experimental design (e.g., feature A/B tests), and causal inference. Bayesian methods are a plus.

• You are comfortable coordinating with engineers on release cycles in a CI/CD environment.

• You use AI tools to enhance your productivity and raise the bar on your analysis.

• Experience with event-level data at a consumer scale and data warehouse tooling such as BigQuery, Snowflake, or Airflow.

• Fluent in product analytics platforms like Amplitude or business intelligence tools like Tableau or tools similar to these.

• Strong SQL, Python, or R for analysis code.

• Great communication and storytelling skills.

• Strong ability to manage your own roadmap.

• Bonus: An ability to conduct qualitative UX research.

Attitude / Culture

• You have a need for speed and are comfortable with a fast-paced culture and a team that leans towards action.

• As a custodian of analysis, you can communicate risks and tradeoffs in measurement vs. shipping velocity.

• You also know what the data cannot answer.

• You are the kind of person who checks whether your AI analysis is correct.

• You are the kind of person who asks why until why is exhausted.

• You are hungry to learn and test yourself. You help level an organization up.

• When you see something on the ground, you pick it up.