Senior Data Scientist, Causal Science
Paramount Skydance Corporation - Senior Data Scientist, Causal Science
Posted Jun 12, 2026
Benefits
- Parental leave
- Not verified
- Non-birth-parent leave
- Not verified
- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Offered From the posting source checked Jun 20, 2026
- Surrogacy assistance: Not verified
- Mental health support
- Not verified
- Relocation assistance
- Not verified
- Childcare support
- Offered From the posting source checked Jun 20, 2026
- Learning budget
- Not verified
- Verification
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- Salary
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Market context
- U.S. role benchmark (BLS OEWS)
- $111,944 U.S. median for this role
- Projected growth (BLS Employment Projections)
- +13.7% - Much faster than average
Matched to SOC 15-1252 - Data and ML aggregate by role bucket.
Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.
Role
Schedule
- Shift type
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- Weekend work
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Company
Application
- Cover letter
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- Assessment
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- Deadline
- Not stated
Where they hire
State eligibility is not yet verified.
About this role
Senior Data Scientist, Causal Science Senior Data Scientist, Causal Science #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
Read the full description at careers.paramount.com. FewerJobs shows a preview and links to the original posting.
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