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Staff Data Scientist, Rewarded Apps

Fetch
Remote, USA
Full-time
Senior · 8+ years experience
Remote
Discovered 1 weeks ago
PythonSQLdbtGitGitHubSpark
Free

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  • 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.
  • 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.
  • 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.
  • 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%.
  • Benefits for humans and pets: We offer comprehensive medical, dental and vision plans for everyone including your pets.
  • Continuing Education: Fetch provides ten thousand per year in education reimbursement.
  • Employee Resource Groups: Take part in employee-led groups that are centered around fostering a diverse and inclusive workplace through events, dialogue and advocacy. The ERGs participate in our Inclusion Council with members of executive leadership.
  • Paid Time Off: On top of our flexible PTO, Fetch observes 9 paid holidays, as well as our year-end week-long break.
  • Robust Leave Policies: 20 weeks of paid parental leave for primary caregivers, 14 weeks for secondary caregivers, and a flexible return to work schedule.
  • Calvin Care Cash: Employees who are welcoming new family members will also receive a one time $2,000 incentive to assist employees with covering the cost of childcare, clothing, diapers and much more!
  • Flexible Work Environment: Collaborate with your team in one of our stunning offices, or you can work fully remotely from anywhere in the US. We’ll ensure you are equally equipped with the hardware and software you need to get your job done in the comfort of your home. (applicable for most roles)

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