Senior Data Scientist at Paramount Skydance

Job description

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. LET’S GO! We are seeking a Senior Data Scientist who is excited to build ML products that shape business strategy, optimize content, inform marketing investment decisions, and enhance the user experience. You will leverage rich datasets such as video and ads consumption, clickstream activity, subscription history, and 2nd/3rd party data to build user- and session-level causal and predictive models. Key applications include identifying the drivers of retention, quantifying the impact of high-value user actions, forecasting content viewership, developing user segmentations for cohort-based targeting, and surfacing opportunities to enhance the user experience. Success in this role requires a solid foundation in Python and SQL, comfort writing production-quality code in a collaborative environment, effective communication skills, and a willingness to continuously learn new tools and techniques. Your Day-to-Day: • Translate complex business problems into coherent, actionable quantitative solutions. • Implement, automate, and maintain reliable, performant, and end-to-end ML systems using software engineering and MLOps best practices. • Deliver clear, impactful insights to stakeholders through effective communication. • Collaborate with stakeholders across the Product org to operationalize data science solutions that inform strategy and optimize the user experience. • Promote best practices across the data science and product analytics team. • Key Projects: • Leverage 1st / 2nd / 3rd party data to build global models that predict user behavior throughout their subscription journey (e.g., sign-up, churn) • Build models to identify and measure high-value user actions and drivers of habit formation. • Develop session-level predictions to uncover user intent at the start of a session. • Build models to predict content viewership and identify content traits that resonate most with each subscriber. • Create user segmentations that enable meaningful cohort-based targeting and support near- personalized experiences. • Perform diagnostic analyses such as evaluation of failed searches to surface opportunities for product improvement. Basic Qualifications: • 2+ years experience in Data Science and ML Engineering. • MS or Ph.D in Statistics/Data Science/Computer Science or related disciplines with specialization in machine learning techniques. • Experience with both supervised and unsupervised learning methodologies. • Full stack experience in data collection, aggregation, analysis, visualization, productionalization, and monitoring of data science products. • Familiarity with well-known statistical and ML models and methods. • Ability to innovate without over-engineering. • Communicate concisely and assertively with a wide variety of stakeholders. • Strong detail orientation with a penchant for data accuracy. Additional Qualifications • Experience using Google Cloud Platform (BigQuery, ML Engine, and APIs). • Experience with integrating AI solutions into existing business processes. • Experience using project management tools like those from Atlassian (JIRA, Confluence) #LI-AD1 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 Entertainment™. 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 Hiring Salary Range: $124,000.00 - 186,000.00. The hiring salary range for this position applies to New York, California, Colorado, Washington state, and most other geographies. Starting pay for the successful applicant depends on a variety of job-related factors, including but not limited to geographic location, market demands, experience, training, and education. The benefits available for this position include medical, dental, vision, 401(k) plan, life insurance coverage, disability benefits, tuition assistance program and PTO or, if applicable, as otherwise dictated by the appropriate Collective Bargaining Agreement. This position is bonus eligible. What We Offer : • Attractive compensation and comprehensive benefits packages. Check out our full list of benefits here . • Generous paid time off. • Complimentary subscriptions to HBO Max, Paramount+, and other Skydance streaming services and digital news products. • Robust employee engagement opportunities, including access to exclusive screenings and events, speaker series, volunteer activities and more. 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.

Requirements

Must-haves

Storytelling is, and will always be, the heart of what we do at Skydance.
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. LET’S GO!
Translate complex business problems into coherent, actionable quantitative solutions.
Implement, automate, and maintain reliable, performant, and end-to-end ML systems using software engineering and MLOps best practices.
Deliver clear, impactful insights to stakeholders through effective communication.
Collaborate with stakeholders across the Product org to operationalize data science solutions that inform strategy and optimize the user experience.
Promote best practices across the data science and product analytics team.
Leverage 1st / 2nd / 3rd party data to build global models that predict user behavior throughout their subscription journey (e.g., sign-up, churn)
Build models to identify and measure high-value user actions and drivers of habit formation.
Develop session-level predictions to uncover user intent at the start of a session.
Build models to predict content viewership and identify content traits that resonate most with each subscriber.
Create user segmentations that enable meaningful cohort-based targeting and support near- personalized experiences.
Perform diagnostic analyses such as evaluation of failed searches to surface opportunities for product improvement.
2+ years experience in Data Science and ML Engineering.
MS or Ph.D in Statistics/Data Science/Computer Science or related disciplines with specialization in machine learning techniques.
Experience with both supervised and unsupervised learning methodologies.
Full stack experience in data collection, aggregation, analysis, visualization, productionalization, and monitoring of data science products.
Familiarity with well-known statistical and ML models and methods.
Ability to innovate without over-engineering.
Communicate concisely and assertively with a wide variety of stakeholders.
Strong detail orientation with a penchant for data accuracy.
Additional Qualifications
Experience using Google Cloud Platform (BigQuery, ML Engine, and APIs).
Experience with integrating AI solutions into existing business processes.

Nice-to-haves

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Application prep

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Keywords to mirror

gomlpythonsqlmachine learningaijira

Platform: successfactors
Effort: medium

Benefits

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Dental

Vision

401(K)

Pto

Paid Time Off