Data Science Associate

About Onyx.

Onyx is building the market for people who enjoy being right. Our consumer platform lets people take positions on what happens next across sports, prediction markets, crypto, financial markets, politics, culture, and real-world events.

More than one million users have already found Onyx. Now, we’re bringing that same energy into regulated financial markets through Onyx Predictions, a CFTC-registered introducing broker and NFA member.

In June 2026, we raised a $20 million Series A led by Payward, the parent company of Kraken, valuing Onyx at $220 million less than one year after emerging from beta. Our team comes from Jane Street, DraftKings, Robinhood, xAI, SIG, HRT, and Harvard.

We’re building Onyx in New York with a small team, serious momentum, and no interest in moving slowly. The product is live. The market is growing. The category is still ours to define.

The Role.

 

We’re hiring a Data Scientist to help teams across Onyx make better decisions with data. You’ll work closely with Product, Engineering, Growth, Finance, and Trading to understand user behavior, measure product changes, identify opportunities, and influence what we build next.

 

You’ll combine strong analytical skills with business judgment. You’ll take projects from the initial question through analysis and recommendations, and build the metrics and tools that help teams answer important questions themselves.

What You’ll Own:

• Partner with teams to define success metrics, evaluate performance, and identify opportunities.
• Design and analyze experiments, including tests of product changes, customer journeys, and growth initiatives.
• Investigate user behavior across acquisition, activation, engagement, retention, and monetization.
• Build analytical frameworks, models, and forecasts to inform product and business decisions.
• Develop datasets, dashboards, and tools that make reliable data easier to access and use.
• Own data projects end to end, from scoping the question to communicating findings and recommendations.
• Help improve event tracking, data quality, and the reliability of core metrics.
• Explain results clearly, including uncertainty and limitations, to both technical and nontechnical partners.
• Work with Engineering to make data collection and analysis more dependable as the product grows.

You’ll Do Well Here If You:

• Have 4+ years of experience in data science, analytics, or a related role.
• Are fluent in SQL and proficient in Python or R.
• Have a strong foundation in statistics, experimentation, and/or forecasting.
• Have worked with large datasets and distributed data systems.
• Can turn ambiguous questions into rigorous analysis and practical recommendations.
• Communicate clearly with technical and nontechnical partners.
• Have supported product, growth, finance, platform, or internal tooling teams.
• Take ownership and can deliver useful work in a fast-moving environment.

Even Better If You Have:

Location:

Why Onyx?

Onyx is for people with conviction.

We hire talented people, give them meaningful ownership, and expect them to use it. Our teams stay small, the work stays visible, and the distance between an idea and production stays short.

Onyx moves quickly because our markets move quickly. Titles matter less than judgment, initiative, and the quality of what you ship. Good ideas can come from anywhere, but the person willing to make the call is expected to follow it through.

We value people who are ambitious without ego, intellectually honest, comfortable with uncertainty, and energized by hard problems. We debate openly, decide quickly, and take responsibility for the result.

Come build what’s next with us.