Staff Data Scientist, Unity

• Advanced degree (MS or Ph.D.) in Computer Science, Machine Learning, Statistics, Mathematics, related field, or equivalent practical experience
• 7+ years of experience in statistical analysis and experimentation using Python, R, or equivalent, with strong skills in quantitative problem solving and understanding user behaviors and ecosystems
• Strong experience transforming large-scale data into actionable insights
• Bias for action, curiosity, and proactiveness, with the ability to break down ambiguous problems and explore patterns
• Resilient and adaptable, navigating uncertainty and learning from setbacks, with an optimistic, solution-focused approach grounded in first-principles thinking

Desirable

• Our Ads Data Science team supports product and business success by transforming large-scale data into actionable insights, defining success metrics, guiding product decisions, and measuring impact
• In partnership with PM, Engineering, Sales, and Finance, the team informs every stage of the product lifecycle - from identifying opportunities to evaluating performance and shaping long-term strategy across supply, demand, and customer insights
• As a founding Data Scientist on this team, you will have strong ownership to company revenue growth and overall business success and work across multiple areas within Ads, including Vector initiatives, supply-side analytics, and Sales insights
• You’ll establish a product analytics culture, take ownership of high-impact ML products, and define how data drives decisions
• If you’re excited about turning data into insights, driving real impact, and contributing to Unity’s mission, this is your opportunity to make a lasting difference
• Collaborate closely with PM, Engineering, Sales, and other cross-functional leaders to inform strategy and support decisions across our Ads group
• Transform large-scale datasets into actionable insights, using quantitative analysis, experimentation, and data mining to support product and business success
• Define success metrics, track performance, and measure the impact of ML and product initiatives
• Guide product decisions by uncovering trends, identifying opportunities, providing data-driven recommendations and driving product roadmaps
• Serve as a subject matter expert, translating business questions into analytical work that drives decisions and identifies process improvements