Senior Data Scientist, Causal Science

Paramount•New York, NY

About The Position

We are looking for a Senior Data Scientist to lead the evaluation strategy for our most dynamic personalization surfaces. Working closely with the Presentation Pod, you will ensure that visual optimizations for Artwork, Marquees, and Display items are spearheading true causal lift. You will be the primary scientific partner for validating high-velocity, Bandit-based systems. This is an Independent Contributor role, meaning you are trusted to solve ambiguous problems where standard A/B testing often fails. You will design and implement counterfactual analysis frameworks and off-policy evaluation methods to measure the performance of contextual bandits. You will raise the bar for the team by anticipating experimentation risks and mentoring junior analysts in the nuances of causal inference. This role matters because you will be validating the Gateway, ensuring the Presentation pod's visual optimizations are statistically sound and causally effective. You will demonstrate Bandit Mastery by solving the unique task of evaluating "always-on" learning systems where traditional group-based splits are insufficient. Furthermore, you will uphold Scientific Integrity by protecting the organization from "false wins" through rigorous counterfactual analysis and bias correction.

Requirements

Minimum: 5+ years in Data Science; expert knowledge of Causal Inference and counterfactual modeling.
Proficient in Python and SQL
Experience with Contextual Bandits

Nice To Haves

Off-Policy Evaluation (OPE)
Background in high-scale tech or AdTech.

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.

Benefits

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.
Medical
Dental
Vision
401(k) plan
Life insurance coverage
Disability benefits
Tuition assistance program
PTO
Bonus eligible