Staff Data Scientist – Rewarded Apps

Posted 1 day ago

This is a fully remote position, open to applicants in Canada, +1 more country.

πŸ“‹ Description

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.


⛳️ Requirements

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.


🏝️ Benefits

β€’ Equity: We provide full-time employees with equity in Fetch, allowing everyone to share in Fetch’s 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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