Senior , Quantitative UX Researcher
Listed on 2026-10-23
-
Research/Development
Data Scientist -
IT/Tech
Data Scientist
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Staff / Senior Staff, Quantitative UX Researcher46733
New York, NY, US, 10036 Burbank, CA, US, 91505
Research
New York
Full-Time
On-Site
Storytelling is, and will always be, the heart of what we do at Skydance.
Our vision is to build a thriving entertainment ecosystem where stories and worlds are imagined, brought to life and experienced. We create for every age and audience, anchored by the strength of our content and experiences and the depth of our connection with fans. We are creator-first, audience-focused, tech-forward, globally scaled.
Here, you’ll work with talented teams that move fast, think boldly and collaborate with purpose to deliver results. We aim high, champion the best ideas and win together, earning the trust of our employees, creators, partners and audiences every day.
If you’re energized by the opportunity to help build the next-generation global media and entertainment company powered by creativity and technology, we’d be thrilled to welcome you aboard.
OverviewAs a member of Paramount’s Streaming Research and Insights team, you’ll lead technically rigorous UX research with a proficient quantitative focus across Pluto TV and Paramount+. Your work will shape product, design, and algorithm strategy, helping us better understand our audiences and improve their streaming experiences.
Reporting to the SVP, Streaming Research and Insights, you’ll exercise significant self-directed judgment in setting research strategy and methodology. You’ll partner directly with senior product, engineering, and data science leaders, making major roadmap and resourcing decisions in partnership with the SVP.
This is an individual contributor role with no direct reports. You’ll provide technical mentorship while working in an office environment. New York or Burbank are the preferred locations, with the final location to be confirmed.
ResponsibilitiesLead quantitative research and causal inference. Use multivariate testing and quasi-experimental methods. Apply statistical modeling. Measure the product's performance. Assess how well teams are collaborating. Evaluate customer satisfaction. Work on improving these areas. Partner closely with the devoted A/B testing team to use experiment results and infrastructure.
Evaluate and improve recommendation algorithms and other AI/ML product systems in partnership with engineering and data science. Apply research and modeling techniques to validate model outputs, identify failure modes, and quantify user impact.
Own the research roadmap for an assigned area of the product portfolio. Partner proactively with product, design, engineering, and business stakeholders to define priorities and develop a forward looking plan combining quantitative and mixed methods research. Report progress and priorities to the SVP, Streaming Research and Insights.
Apply AI modeling and analysis techniques including predictive modeling, analysis supported by machine learning, and AI assisted synthesis of qualitative data to scale research output and identify patterns that warrant deeper investigation.
Lead complementary qualitative and usability research through interviews, usability testing, and diary studies to explain the reasons behind quantitative and behavioral signals and build a complete, statistically grounded comprehension of user needs.
Translate complex findings into clear recommendations for senior product, engineering, data science, and executive stakeholders.
Directly shaping product and technical roadmaps.
Provide technical mentorship to peer researchers and partners across teams on experimental design, statistical rigor, and research best practices.
Basic QualificationsExtensive experience in quantitative UX research,…
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