
Staff Data Scientist β Rewarded Apps
Posted 1 day ago

Posted 1 day ago
This is a fully remote position, open to applicants in Canada, +1 more country.
β’ Establish the analytical and scientific direction for Play, pinpointing high-impact opportunities in revenue, margin, engagement, retention, user experience, and advertiser performance.
β’ Act as a senior strategic partner to leaders in business, Product, Marketing, and Engineering.
β’ Determine the inquiries analytics should address and convert ambiguous challenges into structured analytical methodologies.
β’ Gain a comprehensive understanding of the Play P&L and link user behavior and product performance to revenue, margin, and marketplace results.
β’ Spearhead advanced analytics and data science projects focused on engagement, retention, monetization, personalization, segmentation, and marketplace dynamics.
β’ Create predictive and machine learning models to uncover behavioral patterns, predict outcomes, prioritize opportunities, and guide strategy.
β’ Design experimentation and measurement strategies utilizing A/B testing, causal inference, quasi-experimental methods, and observational analysis.
β’ Build scalable analytical assets, feature pipelines, modeling frameworks, and reliable measurement systems using Python and SQL.
β’ Collaborate with Product and Engineering to implement models, scoring frameworks, and analytical outputs.
β’ Simplify complex findings into actionable recommendations for senior and executive stakeholders.
β’ Guide analysts and data scientists, review impactful analyses, and establish best practices for modeling, experimentation, documentation, reusable code, and data storytelling.
β’ Over 8 years of experience in data science, analytics, quantitative strategy, or a related field, with ownership of complex product or business domains.
β’ Advanced skills in Python and SQL, with a background in creating reusable analytical and modeling workflows.
β’ Experience in developing, assessing, and operationalizing machine learning and predictive models, including feature engineering and translating model outputs into business strategies.
β’ Strong grounding in statistics, experimental design, power analysis, metric selection, segmentation, and causal inference.
β’ Familiarity with causal inference techniques such as difference-in-differences, matching, synthetic controls, or related methodologies.
β’ Experience in creating models associated with personalization, propensity, recommendations, forecasting, retention, or lifetime value.
β’ Proven capability to independently structure and resolve ambiguous, high-impact issues while balancing analytical rigor with business urgency.
β’ A history of leveraging analytics to achieve measurable enhancements in revenue, engagement, retention, product performance, or operational efficiency.
β’ Established ability to influence senior stakeholders across Product, Engineering, Marketing, and business teams without direct authority.
β’ Experience mentoring analysts or data scientists and elevating the quality of work across a larger team.
β’ Outstanding communication and data storytelling skills, including the ability to articulate complex analytical concepts to non-technical audiences.
β’ This role can be performed remotely within the United States or any Canadian province excluding Quebec, pending appropriate work authorization.
β’ Preferred: experience in consumer technology, gaming, marketplaces, rewards, loyalty, or another high-frequency digital product.
β’ Preferred: experience with dbt, Git/GitHub, Spark, or similar technologies.
β’ Preferred: experience with businesses where user engagement, monetization, incentives, and marketplace economics are interconnected.
β’ Preferred: experience integrating advanced analytics with product and commercial strategy.
β’ Equity: We provide full-time employees with equity in Fetch, allowing everyone to share in Fetchβs growth.
β’ 401(k): Fetch matches your contributions dollar for dollar, up to 4% of your eligible earnings.
β’ Comprehensive medical, dental, and vision coverage for all employees, including their pets.
β’ Up to $10,000 annually in education reimbursement.
β’ Employee Resource Groups designed to promote a diverse and inclusive workplace through events, dialogue, and advocacy.
β’ Flexible paid time off (PTO).
β’ 9 paid holidays along with a week-long year-end break (holidays may vary for Canada-based roles).
β’ 14 weeks of fully paid parental leave for all employees, in addition to 6 weeks of paid childbirth recovery leave for birthing parents, plus a flexible return-to-work schedule.
β’ One-time $2,000 Calvin Care Cash incentive for employees welcoming new family members.
β’ Flexible work environment.
β’ Hardware and software provisions for remote work (applicable for most roles).
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