Paramount Jobs

#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.

• Lead 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.

• Extensive experience in quantitative UX research, experimentation, or applied data science. This experience should come from a consumer technology, streaming, or digital product company. The candidate must have a proven record of leading complex research programs that rely on statistical analysis.
• Bachelor’s degree in Statistics, Data Science, Human Computer Interaction, Computer Science, Psychology, or a related quantitative field.
• A solid background in experimental design and causal inference. This includes skills in multivariate testing and quasi-experimental methods. You need good statistical skills to validate and defend your results to executives. Additionally, you must be able to collaborate well with a hardworking A/B testing team.
• Technical proficiency in SQL and Python or R, with hands on experience applying AI/ML modeling techniques, such as predictive modeling, natural language processing, or recommendation system evaluation, to research problems.
• Demonstrated experience evaluating and improving algorithmic systems in direct partnership with engineering and data science teams.
• Experience with recommendation or personalization engines.
• Proven ability to turn ambiguous questions into quantitative research plans.
• Self-reliantly defining scope, executing research, and defending methodology with minimal oversight.
• Excellent executive communication and storytelling skills, with the ability to translate complex statistical and technical findings into clear, actionable recommendations for senior and executive stakeholders.
• Ability to manage multiple concurrent research and experimentation streams against shifting priorities in a fast paced, evolving office environment.

• Advanced degree, such as a master’s or PhD, strongly preferred, particularly a PhD in Statistics, Data Science, HCI, or a related quantitative or behavioral science field.
• Experience with recommendation systems at scale, ranking algorithms, or generative AI and large language model evaluation.
• Awareness with streaming media, entertainment, or subscription and advertising supported business models.
• Experience building or scaling a research or experimentation function, including tooling, panels, or infrastructure.

Paramount Skydance Corporation (NASDAQ: PSKY) is a leading global media and entertainment company that creates premium content and experiences for audiences worldwide. Driven by iconic studios, networks and streaming services, Paramount's portfolio of consumer brands includes CBS, Showtime Networks, Paramount Pictures, Nickelodeon, MTV, Comedy Central, BET, Paramount+, and Pluto TV, among others. Paramount delivers the largest share of the U.S. television audience and boasts one of the industry's most important and extensive libraries of TV and film titles. In addition to offering innovative streaming services and digital video products, the company provides powerful capabilities in production, distribution and advertising solutions.

• Attractive compensation and comprehensive benefits packages. Check out our full list of benefits here: https://www.paramount.com/careers/benefits
• 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.
• Explore life at Paramount: https://www.paramount.com/careers/life-at-paramount

Skydance is an equal opportunity employer (EOE)

We embrace the opportunity to build a workforce that reflects a wide array of perspectives, backgrounds and experiences. Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit. In line with the laws of the country or region in which the role is based, this includes consideration without regard to race, color, ethnicity, national origin, citizenship status, religion or belief, sex, gender, gender identity or expression, sexual orientation, age, marital status, pregnancy, parenthood, physical or mental disability, genetic information, military or protected veteran status, union status or any other category protected by applicable law.

If you are a qualified individual with a disability, you may request a reasonable accommodation during the job application and/or recruitment process. You can request reasonable accommodations by calling 212.846.5500 or by sending an email to paramountaccommodations@paramount.com. Only messages left for this purpose will be returned.