Staff Data Scientist, Rewarded Apps

This is a fully remote position, open to applicants in United States.

📋 Description

• Establish the analytical and scientific strategy for Play, focusing on revenue, margin, engagement, retention, user experience, and advertiser performance.

• Act as a senior thought partner to leaders in business, Product, Marketing, and Engineering.

• Identify analytical questions and convert vague business and product challenges into structured analytical frameworks.

• Gain a comprehensive understanding of the Play P&L and correlate user behavior and product performance with revenue, margin, and marketplace outcomes.

• Spearhead advanced analytics and data science initiatives in areas such as engagement, retention, monetization, personalization, segmentation, and marketplace dynamics.

• Create predictive and machine learning models to discern behavioral patterns, forecast outcomes, prioritize opportunities, and guide strategic decisions.

• Design experimentation and measurement strategies utilizing A/B testing, causal inference, quasi-experimental methods, and observational analysis.

• Develop scalable analytical assets, feature pipelines, modeling frameworks, and reliable measurement systems using Python and SQL.

• Collaborate with Product and Engineering teams to operationalize models, scoring frameworks, and analytical outputs.

• Simplify complex findings into actionable recommendations for senior and executive audiences.

• Mentor analysts and data scientists, review significant analyses, and establish best practices for modeling, experimentation, documentation, reusable code, and data storytelling.

⛳️ Requirements

• Over 8 years of experience in data science, analytics, quantitative strategy, or a related field, with ownership of complex product or business domains.

• Advanced expertise in Python and SQL, including experience in creating reusable analytical and modeling workflows.

• Proven experience in developing, assessing, and operationalizing machine learning and predictive models, encompassing feature engineering and transforming model outputs into business decisions.

• Strong knowledge base in statistics, experimental design, power analysis, metric selection, segmentation, and causal inference.

• Experience implementing causal inference techniques such as difference-in-differences, matching, synthetic controls, or similar methodologies.

• Background in developing models focused on personalization, propensity, recommendations, forecasting, retention, or lifetime value.

• Demonstrated capability to independently structure and address ambiguous, high-impact challenges while balancing analytical rigor with business urgency.

• Proven track record of leveraging analytics to achieve measurable enhancements in revenue, engagement, retention, product performance, or operational efficiency.

• Established ability to influence senior stakeholders across Product, Engineering, Marketing, and business teams without direct authority.

• Experience mentoring analysts or data scientists and enhancing the overall quality of work within a broader team.

• Exceptional communication and data storytelling abilities, including the skill to convey complex analytical concepts to non-technical audiences.

• Preferred: experience in consumer technology, gaming, marketplaces, rewards, loyalty, or other high-frequency digital products.

• Preferred: familiarity with dbt, Git/GitHub, Spark, or comparable technologies.

• Preferred: experience with businesses where user engagement, monetization, incentives, and marketplace economics are closely interlinked.

• Preferred: expertise in integrating advanced analytics with product and commercial strategy.

🏝️ Benefits

• Equity: full-time employees receive equity in Fetch.

• 401(k) match: dollar-for-dollar matching up to 4% of eligible pay.

• Comprehensive medical, dental, and vision plans, including pet coverage.

• $10,000 per year in education reimbursement.

• Participation in Employee Resource Groups and Inclusion Council.

• Flexible PTO.

• 9 paid holidays.

• Year-end week-long break.

• 14 weeks of fully paid parental leave.

• 6 additional weeks of paid childbirth recovery leave for birthing parents.

• Flexible return-to-work schedule.

• One-time $2,000 Calvin Care Cash incentive for employees welcoming new family members.

• Flexible work environment with the option to work remotely from anywhere in the US for US-based roles.

• Hardware and software provided for home working.