Senior Data Scientist powering product and operational analytics for Flagler Health’s musculoskeletal care platform. Measuring patient journeys, clinical workflows, engagement, and business performance.
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
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Report this job
Found something wrong with the page? Please let us know by submitting a report below.
TD digital analytics expert optimizing banking customer journeys through web and mobile data. Delivering dashboards, insights, and recommendations to improve conversion, engagement, and digital performance.
Staff Data Scientist embedded across growth, product, AI, or partnerships at Jerry.ai, an AI - powered platform managing car and home ownership. Defining metrics, running experiments, and driving data - informed business decisions.
Technical Lead governing AI data readiness and API gateways at Coupa, whose platform helps businesses optimize total spend. Defining safeguards for GenAI applications, data quality, compliance, and observability.
Senior Principal Data Scientist building predictive models and evaluation systems for Autodesk’s agentic AI design platform. Defining telemetry, experimentation, and product intelligence for complex user workflows.
Senior Data Scientist evaluating football ML models for SumerSports’ NFL intelligence platform. Building rigorous testing, comparison, and experimentation tooling for production model quality.
Data Scientist developing fraud detection solutions for Desjardins, North America's largest cooperative financial group. Applying data science expertise to protect financial products and services from fraud.
Data Scientist II applying SQL, Python, machine learning, and AI to Life & Health insurance products at TD Bank. Developing strategies and insights for better decisions.
Senior Data Scientist developing AI, analytics, and automation solutions for Desjardins, North America’s largest cooperative financial group. Building Finance prototypes, models, and AI agents for production.
Lead Analytics Consultant shaping Adobe Analytics and CJA strategies for Bounteous, a global AI services firm. Advising clients, designing implementations, and translating data into executive action.