Data Scientist responsible for ensuring reliability of ML models at Jobber. Collaborating closely with product teams and contributing to AI systems.
About the role
- Senior Staff Data Scientist leading complex experimentation methodology within Consumer Data Science at Reddit. Driving insights and innovative solutions for product strategies through rigorous analysis.
Responsibilities
- Serve as the technical authority on experimentation methodology across Consumer, setting standards for design, analysis, and interpretation of experiments in a complex, networked environment
- Tackle the hardest experimentation problems at Reddit, including spillover and network effects, interference between treatment and control, two-sided experimentation, and long-run effect estimation
- Develop and advance methods for causal inference in settings where standard randomization assumptions are violated, such as cluster-randomized designs, switchback experiments, and synthetic control approaches
- Design experimentation frameworks and guardrail metrics that account for ecosystem-level effects, ensuring product teams can measure true causal impact rather than biased local estimates
- Identify opportunities where improved experimentation methodology can unlock product insights that were previously unmeasurable or ambiguous
- Build and scale self-serve experimentation tools, platforms, and best-practice documentation that increase experimentation velocity and literacy across product, engineering, and design teams
- Influence the long-term product strategy by driving learning through well-designed experiments and translating experimental results into clear, actionable recommendations for senior leadership
- Mentor and elevate other data scientists across the organization on experimentation best practices, causal reasoning, and statistical rigor
- Publish and share methodological advances internally and, where appropriate, externally to contribute to the broader experimentation and causal inference community
Requirements
- Ph.D. in Statistics, Econometrics, Economics, Computer Science, or a related quantitative field with a strong focus on causal inference or experimentation methodology; or M.S. with equivalent depth of expertise
- For M.S. holders: 12+ years of industry experience in applied science, data science, or experimentation-focused roles
- For Ph.D. holders: 8+ years of industry experience in applied science, data science, or experimentation-focused roles
- Deep expertise in causal inference, including practical experience with challenges such as network interference / spillovers, two-sided experimentation, switchback designs, cluster randomization, and/or synthetic control methods
- Strong theoretical grounding in experimental design, including power analysis, variance reduction techniques, sequential testing, and multiple comparison corrections
- Experience with experimentation platforms at scale (e.g., building or significantly extending an internal experimentation platform)
- Expert knowledge of SQL and proficiency in R and/or Python for statistical computing
- Track record of designing and analyzing experiments at scale in complex or networked environments
- Demonstrated ability to influence product and organizational strategy through experimentation insights
- Demonstrated ability to take ambiguous, technically complex problems and solve them in a structured, hypothesis-driven way
- Excellent communication skills with the ability to explain nuanced statistical concepts and tradeoffs to both technical and non-technical senior stakeholders
- Experience mentoring data scientists and building organizational capability in experimentation and causal reasoning
- Comfortable in innovative and fast-paced environments with a bias toward action.
Benefits
- Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
- Family Planning Support
- Gender-Affirming Care
- Mental Health & Coaching Benefits
- Comprehensive Medical Benefits & Health Care Spending Account
- Registered Retirement Savings Plan with matching contributions
- Income Replacement Programs
- Flexible Vacation & Paid Volunteer Time Off
- Generous Paid Parental Leave
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