Data Science Associate

Onyx Odds•New York, NY

2d•$150,000 - $200,000•Onsite

About The Position

Onyx is hiring a Data Scientist to turn activity across its consumer platform and regulated financial markets into better products, sharper decisions, and a deeper understanding of customers and markets. The role sits close to the product and works directly with engineering, product, growth, trading, and operations to understand user behavior, improve the trading experience, and translate complex datasets into clear decisions. This high-ownership role spans product analytics, experimentation, modeling, data quality, and automation. The successful candidate will contribute to existing systems while building new capabilities, with responsibilities expected to grow quickly and a meaningful voice in how data science is established at Onyx. The position is based in the NoHo, Manhattan office, with core in-office days Tuesday through Thursday. Candidates must be authorized to work in the United States; employment sponsorship is not available.

Requirements

Strong analytical skills and experience using data to solve ambiguous problems.
High proficiency in SQL and Python.
Experience working with large, complex, or real-time datasets.
Understanding of experimentation, statistical analysis, and product metrics.
Ability to communicate findings clearly to technical and non-technical audiences.
Strong product judgment and curiosity about user behavior.
Ability to work across analytics, modeling, data quality, automation, and product strategy.
Ability to work independently and take ownership in a fast-moving environment.
Authorization to work in the United States; employment sponsorship is not available.

Nice To Haves

Experience in consumer technology, fintech, trading, gaming, sports, crypto, or marketplaces.
Experience analyzing funnels, retention, cohorts, unit economics, or customer lifetime value.
Familiarity with market structure, pricing, liquidity, risk, or trading behavior.
Experience building data pipelines, internal tools, or automated monitoring systems.
Experience with visualization tools, experimentation platforms, and modern data warehouses.
Experience working with event-level product data or high-frequency transactional datasets.
Interest in prediction markets and how people form views about future events.

Responsibilities

Analyze user behavior across acquisition, onboarding, deposits, trading, retention, and engagement.
Build models and analyses to explain conversion, market participation, liquidity, and customer value.
Develop dashboards and reporting that provide visibility into product and business performance.
Define metrics used to evaluate features, markets, and growth initiatives.
Design experiments, measure results, and translate findings into product recommendations.
Identify unusual patterns, data-quality issues, operational risks, and opportunities for automation.
Build reliable datasets and analytical workflows using SQL and Python.
Partner with engineering to improve data collection, event tracking, and analytics infrastructure.
Work with product, growth, trading, operations, and leadership on high-priority business questions.
Help establish the tools, processes, and standards for data science at Onyx.