Staff Data Scientist, Rewarded Apps

Role Overview

Fetch is looking for a Staff Data Scientist to serve as the senior analytical and scientific leader for our Play business and broader Rewarded Apps portfolio. This is a strategic, hands-on individual contributor role.

What You Will Do

Set the analytical and scientific strategy for Play, identify high-impact opportunities, lead advanced analytics and data science initiatives, and build predictive and machine learning models.

Why It Might Be a Fit

You’ll partner with business, Product, Marketing, and Engineering leaders, mentor analysts and data scientists, and establish best practices for modeling, experimentation, and documentation.

Requirements

• 8+ years of experience in data science, analytics, quantitative strategy, or a related field
• Advanced proficiency in Python and SQL
• Experience developing, evaluating, and operationalizing machine learning and predictive models
• Strong foundation in statistics, experimental design, power analysis, metric selection, segmentation, and causal inference
• Experience applying causal inference techniques such as difference-in-differences, matching, synthetic controls, or related methodologies
• Experience developing models related to personalization, propensity, recommendations, forecasting, retention, or lifetime value
• Demonstrated ability to independently structure and solve ambiguous, high-impact problems
• A track record of using analytics to drive measurable improvements in areas such as revenue, engagement, retention, product performance, or operational efficiency
• Proven ability to influence senior stakeholders across Product, Engineering, Marketing, and business teams without direct authority
• Experience mentoring analysts or data scientists and improving the quality of work across a broader team
• Exceptional communication and data storytelling skills

Benefits

• Competitive compensation package including base, equity, and benefits
• Paid time off
• Holidays