
Senior Data Scientist
Paramount
New York, NYThis was removed by the employer on 4/22/2026 9:05:00 AM PST
This is a Full Time Job
#WeAreParamount on a mission to unleash the power of content… you in?
We’ve got the brands, we’ve got the stars, we’ve got the power to achieve our mission to entertain the planet – now all we’re missing is… YOU! Becoming a part of Paramount means joining a team of passionate people who not only recognize the power of content but also enjoy a touch of fun and uniqueness. Together, we co-create moments that matter – both for our audiences and our employees – and aim to leave a positive mark on culture.
Senior Data Scientist, Causal Science (45539)
Overview
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.
Why This Role Matters
Validating the Gateway: You ensure the Presentation pod's visual optimizations are statistically sound and causally effective.
Bandit Mastery: You solve the unique task of evaluating ''always-on''learning systems where traditional group-based splits are insufficient.
Scientific Integrity: You protect the organization from ''false wins'' by applying rigorous counterfactual analysis and bias correction.
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.
Basic Qualifications
Minimum: 5 years in Data Science; expert knowledge of Causal Inference and counterfactual modeling.
Proficient in Python and SQL
Experience with Contextual Bandits
Additional Qualifications
Off-Policy Evaluation (OPE); background in high-scale tech or AdTech.
#LI-RJ1
Paramount Streaming, a division within Paramount Global, is the home to the company's direct-to-consumer services spanning free and paid in the form of Pluto TV and Paramount . Pluto TV is the global leader in free ad-supported TV, delivering more than 1,400 global channels and an extensive library of streaming content, including live and original channels. Paramount , digital subscription video-on-demand and live streaming service, combines live sports, breaking news, and A Mountain of Entertainmentâ''¢. Paramount features an expansive library of original series, hit shows and popular movies across every genre from world-renowned brands and production studios, including SHOWTIME®.
ADDITIONAL INFORMATION
What We Offer:
• 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.