Staff Decision Scientist (Strategic Insights)

• Serve as the primary strategic analytics partner for an operating group, defining and driving the most critical questions that shape product, growth, and investment decisions.


• Lead high-impact causal and statistical analysis, including experimentation, A/B testing, and advanced inference methods to uncover drivers of user and business behavior.


• Translate complex analytical findings into clear, compelling narratives that influence leadership decisions and cross-functional roadmaps.


• Design and own measurement frameworks and metric strategies that reflect real user behavior and business outcomes across a complex product ecosystem.


• Partner closely with Product, Engineering, Marketing, and Finance to embed insights into decision-making and prioritize high-leverage initiatives.


• Build and refine instrumentation and data models in collaboration with data engineering teams to ensure reliable and meaningful analytics foundations.


• Contribute to the evolution of AI-native analytics workflows, helping scale self-serve insights and automation across the organization.


• Mentor senior team members in causal reasoning, experimental design, and modern analytics practices.

Requirements:

• 8+ years of experience in data science, decision science, or advanced analytics within consumer or platform tech environments.


• Strong expertise in causal inference methodologies such as difference-in-differences, instrumental variables, regression discontinuity, and propensity score matching.


• Proven track record of influencing product or business strategy through data-driven insights and cross-functional collaboration.


• Deep experience with experimentation platforms (e.g., Statsig, Optimizely, or similar) and end-to-end A/B test design and analysis.


• Strong proficiency in SQL and Python or R for statistical modeling and analysis.


• Advanced degree in a quantitative field (economics, statistics, operations research, quantitative social sciences) or equivalent practical experience.


• Excellent communication and storytelling skills, with the ability to drive alignment and action from complex analysis.


• Experience working with subscription, freemium, or multi-market consumer products is highly desirable.


• Familiarity with LTV modeling, incrementality testing, or marketing mix modeling is a plus.


• Experience in AI-enabled analytics environments or building modern data workflows is an advantage.

Benefits:

• Competitive compensation package aligned with experience, including base salary and equity.


• Comprehensive health, dental, vision, life, and disability insurance coverage.


• Retirement savings plans with company contributions (401(k) or RRSP/DPSP depending on location).


• Flexible remote-first work environment with strong autonomy and outcome-focused culture.


• Generous paid time off, company-wide holidays, and scheduled annual shutdown periods.


• Mental health and employee assistance programs.


• Learning and development support, including tools, training, and career growth resources.


• Home office and equipment stipends to support remote productivity.


• Additional wellness, family, and lifestyle benefits including paid memberships and product perks.