Note: The job is a remote job and is open to candidates in USA. Fetch is a technology company seeking a Staff Data Scientist to serve as the senior analytical and scientific leader for its Play business and broader Rewarded Apps portfolio. The role will set analytical strategy, lead advanced analytics and machine learning initiatives, shape experimentation and measurement, and influence product, monetization, engagement, and growth decisions while mentoring analysts and data scientists.
Responsibilities
- Set the analytical and scientific strategy for Play, identifying high-impact opportunities across revenue, margin, engagement, retention, user experience, and advertiser performance
- Serve as a senior thought partner to business, Product, Marketing, and Engineering leaders, proactively defining the questions analytics should answer
- Translate ambiguous business and product challenges into structured analytical approaches that clearly communicate trade-offs, uncertainty, and expected impact
- Develop a deep understanding of the Play P&L and connect user behavior and product performance to revenue, margin, and marketplace outcomes
- Lead advanced analytics and data science initiatives across engagement, retention, monetization, personalization, segmentation, and marketplace dynamics
- Build predictive and machine learning models that identify behavioral patterns, forecast outcomes, prioritize opportunities, and inform product and business strategy
- Shape Play’s experimentation and measurement strategy, applying A/B testing, causal inference, quasi-experimental methods, and observational analysis as appropriate
- Develop scalable analytical assets, feature pipelines, modeling frameworks, and trusted measurement systems using Python and SQL
- Partner with Product and Engineering to operationalize models, scoring frameworks, and analytical outputs that improve the user experience and business performance
- Translate complex findings into clear recommendations for senior and executive audiences, framed around customer outcomes, financial impact, strategic risk, and opportunity cost
- Mentor analysts and data scientists, review high-impact analyses, and establish best practices for modeling, experimentation, documentation, reusable code, and data storytelling
Skills
- 8+ years of experience in data science, analytics, quantitative strategy, or a related field, including ownership of complex product or business domains
- Advanced proficiency in Python and SQL, with experience building reusable analytical and modeling workflows
- Experience developing, evaluating, and operationalizing machine learning and predictive models, including feature engineering and translating model outputs into business decisions
- 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 while balancing analytical rigor with business urgency
- 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, including the ability to explain sophisticated analytical concepts to non-technical audiences
- This is a full-time role that can be held from one of our US offices or remotely in the United States
- Experience in consumer technology, gaming, marketplaces, rewards, loyalty, or another high-frequency digital product
- Experience with modern analytics engineering tools and practices, including dbt, Git/GitHub, Spark, or similar technologies
- Experience working with businesses where user engagement, monetization, incentives, and marketplace economics are closely connected
- Experience combining advanced analytics with both product and commercial strategy
Benefits
- Equity: We offer full-time employees equity in Fetch, so that everyone can benefit from Fetch’s growth.
- 401k Match: Dollar-for-dollar match up to 4%.
- Comprehensive medical, dental and vision plans for everyone, including pets.
- Continuing Education: Fetch provides ten thousand per year in education reimbursement.
- Employee Resource Groups: Employee-led groups centered around fostering a diverse and inclusive workplace through events, dialogue and advocacy, with participation in the Inclusion Council alongside executive leadership.
- Flexible PTO, 9 paid holidays, and a year-end week-long break.
- 20 weeks of paid parental leave for primary caregivers, 14 weeks for secondary caregivers, and a flexible return to work schedule.
- Employees welcoming new family members receive a one-time $2,000 incentive to assist with childcare, clothing, diapers and more.
- Flexible Work Environment: Collaborate with your team in one of our offices, or work fully remotely from anywhere in the US (applicable for most roles).
- Hardware and software provided to ensure employees are equipped to work from home.
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