Senior Staff Data Scientist - Consumer Experimentation
Ladders · United States
- On site
- Full-time
- United States
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About the role
For our client, we are seeking a Senior Staff Data Scientist - Consumer Experimentation to join the team of a leader in the Media space. This role will turn data into practical insight that improves visibility, decision-making, and business performance. You will partner with business, technical, and operational stakeholders to build reporting, surface trends, and translate analysis into action. The position offers the opportunity to strengthen data-driven execution and help teams focus on the metrics that matter most within a Media environment.
Location: Remote - US based candidates only, no visa sponsorship available
Compensation: $150,000 – $180,000 annually
Responsibilities
Location: Remote - US based candidates only, no visa sponsorship available
Compensation: $150,000 – $180,000 annually
Responsibilities
- Serve as the authority on experimentation methodology across the Consumer team
- Tackle complex experimentation problems, including spillover effects and network interference
- Develop causal inference methods where standard assumptions are violated
- Design frameworks that account for ecosystem-level effects in experimentation
- Identify opportunities for improved methodologies to unlock insights
- Build and scale self-serve experimentation tools to enhance efficiency
- Influence product strategy through rigorous experimental analysis and recommendations
- Ph.D. in Statistics, Econometrics, Economics, Computer Science, or related field with focus on causal inference; or M.S. with equivalent expertise
- 12+ years of industry experience for M.S. holders in applied science or experimentation
- 8+ years of industry experience for Ph.D. holders in applied science or experimentation
- Deep expertise in causal inference and complex experimentation challenges
- Strong theoretical background in experimental design
- Experience with large-scale experimentation platforms
- Proficiency in SQL and either R or Python for statistical analysis
- Global benefit programs tailored to diverse lifestyles
- Family planning support
- Gender-affirming care options
- Mental health and coaching benefits
- Comprehensive medical coverage and healthcare spending account
- Registered retirement savings plan with matching contributions
- Income replacement programs
- Flexible vacation and paid volunteer time off
- Generous paid parental leave