[Remote] Senior Data Scientist, Causal Science
Note: The job is a remote job and is open to candidates in USA. Paramount is on a mission to unleash the power of content and is seeking a Senior Data Scientist to lead the evaluation strategy for personalization surfaces. The role involves designing experimentation frameworks, conducting counterfactual evaluations, and mentoring junior analysts to ensure the scientific integrity of visual optimizations.
Responsibilities
- Design Complex Experiments: Lead the design of experimentation frameworks for contextual bandits, focusing on reward definition and exploration strategies
- Counterfactual Evaluation: Develop and scale off-policy evaluation (OPE) methods to estimate model impact before live deployment
- Strategic Partnership: Act as the scientific consultant for the Presentation Pod, navigating the trade-offs between exploration and exploitation
- Risk Mitigation: Proactively identify and fix potential biases in experimentation pipelines (e.g., selection bias or feedback loops)
- Mentorship: Provide technical guidance to junior analysts, fostering a culture of scientific rigor
Skills
- 5+ years in Data Science
- Expert knowledge of Causal Inference and counterfactual modeling
- Proficient in Python and SQL
- Experience with Contextual Bandits
- Off-Policy Evaluation (OPE)
- Background in high-scale tech or AdTech
Benefits
- Medical
- Dental
- Vision
- 401(k) plan
- Life insurance coverage
- Disability benefits
- Tuition assistance program
- PTO or, if applicable, as otherwise dictated by the appropriate Collective Bargaining Agreement
- This position is bonus eligible.
- Attractive compensation and comprehensive benefits packages.
- Generous paid time off.
- An exciting and fulfilling opportunity to be part of one of Paramount’s most dynamic teams.
- Opportunities for both on-site and virtual engagement events.
- Unique opportunities to make meaningful connections and build a vibrant community, both inside and outside the workplace.
Company Overview
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