Data Scientist, Business & Product

Game Devs of Color; New York (NY); On-site; USD 140,000 - 240,000; Full time

Benefits offered by this job

Equity

Job summary

Medal is seeking a data analytics lead to own the company’s end-to-end analytics strategy, from instrumentation to KPI reporting and deep dives. You’ll collaborate with business and product leaders to shape experimentation, pricing, and growth initiatives.

You’ll own multi-test design, causal inference, and data scaffolding, enabling cross-functional teams to make data-driven decisions at scale in a fast-paced environment.

Qualifications

• 3–5 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, and causal inference. Bayesian methods are a plus.

Responsibilities

• Design and analyze experiments end-to-end to validate hypotheses and determine readouts.
• Configure test structures and manage multi-test pipelines with causal analysis when clean A/B tests aren’t possible.
• Build and refine analytics instrumentation and KPI reporting with data scaffolding and telemetry enhancements.
• Identify opportunities in data to inform strategy and communicate insights clearly to non-technical stakeholders.
• Contribute to roadmap planning, pricing analytics, and experiments around upsells and bundles.
• Collaborate with engineers on release cycles in CI/CD environments.
• Utilize AI tools to enhance productivity and analysis quality.
• Work with event-level data on BigQuery/Snowflake and BI tools to support business and product decisions.

Skills

SQL

Python

R

Communication

Experiment design

Education

Master’s degree in statistics or related field

Tools

BigQuery

Snowflake

Airflow

Amplitude

Tableau

Job description

$140K – $240K · Offers Equity · The compensation may vary further depending on individualized factors for candidates, such as job-related knowledge, skills, experience, and other objective business considerations.

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.
• 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.
• 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.

Millions of gamers capture, share, and discover new games on Medal, the largest platform for gaming clips. Our mission is to design products that make sharing and connecting around gaming seamless and fun, and build a place where brands and game publishers can reach high-quality gamers to grow their products.