Staff Data Scientist — Play Analytics & Growth (Remote)

Fetch; San Jose, Seattle (CA, WA, NC); Remote; CAD 150,000 - 210,000; Full time

Benefits offered by this job

Equity

401(k)

Medical, dental, and vision plans

Education reimbursement

Paid time off

Job summary

Fetch is seeking a Staff Data Scientist to lead analytics for the Play business and Rewards Apps portfolio. You’ll partner with product, marketing, engineering, and leadership to shape data strategy, experimentation, and advanced analytics to drive revenue and engagement.

You’ll develop predictive models, build scalable analytics assets, and mentor analysts while translating complex findings into actionable recommendations for executives.

Qualifications

• 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.

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

Python

SQL

Statistics

Experimental design

Causal inference

Tools

dbt

Git/GitHub

Spark

Job description

Fetch is seeking a Staff Data Scientist to lead analytics for the Play business and Rewards Apps portfolio. You’ll partner with product, marketing, engineering, and leadership to shape data strategy, experimentation, and advanced analytics to drive revenue and engagement.

You’ll develop predictive models, build scalable analytics assets, and mentor analysts while translating complex findings into actionable recommendations for executives.