Senior Data Scientist

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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!

HBO Max delivers boundary-pushing stories across genres and platforms, connecting millions of viewers across 90 countries globally— and we’re just getting started. We're home to the most talked about shows and movies, granting audiences access to the worlds of HBO, Harry Potter, DC, Warner Bros., ID, Adult Swim, A24, and more. Turn your streaming obsession into a career— we’re hiring! ㅤ

The Job
Be part of the Data Science team supporting HBO Max at a pivotal stage of global growth. This role will help Marketing understand and optimize the impact of media investment on subscriber growth, engagement, revenue, and long-term value across markets. As a Senior Data Scientist, you will bring a deep understanding of media channels, measurement methodologies, and the associated data, metrics, and KPIs. You will lead the development, maintenance, and refinement of Media Mix Models (MMM), attribution and incrementality approaches, and optimization solutions that inform media planning and investment decisions. You will work closely with Marketing, Media Strategy, Analytics, Finance, Engineering, and other cross-functional partners, using a wide array of datasets to build scalable, industry-leading measurement solutions. Key to this role is the ability to own complex analytical projects end-to-end, translate model outputs into clear business recommendations, and actively evaluate emerging statistical, machine learning, and AI approaches that can improve how the team works and the decisions we enable.

The Daily
Performance analysis and modeling to measure marketing campaigns and make recommendations

Analyze and have a deep understanding of media spend (investment and return) and measure performances

Lead the development of data framework and analytical approaches

Develop, maintain, and refine market mix models and attribution models using advanced statistical models

Build optimization algorithms using the model output to optimize media spend to maximize subscriber growth and revenue

Synthesize analytics and statistical approaches into easy-to-consume storylines, both visually and verbally, and provide indicated actions for executive audiences

Present key drivers behind media effectiveness and performance with business partners and senior executives and craft related action plans

The Essentials
BA/BS in business analytics, statistics, mathematics, economics, industrial engineering, or other quantitative discipline is required. Masters/PhD is a plus

4+ years of experience building data science/statistical models (Multivariate regression, Markov Chain Model, Time Series Model etc.)

1+ years of experience in Media Mix Modeling and Multi Touch Attribution Modeling

Expertise in linear and non-linear optimization (Local/Global) approaches

Expertise in SQL and R and/or Python

Hands-on experience with Databricks for large-scale data processing, analytics, model development, and production workflows

Proficiency with AI-assisted development tools such as Cursor and Claude Code, including using coding agents and large language models to accelerate analysis, model development, debugging, documentation, and workflow automation

Strong understanding of generative AI and agentic AI capabilities, with the ability to evaluate and apply AI tools responsibly to improve data science productivity and analytical solutions

Experience in customizing optimization algorithms

Experience in building RShiny applications a plus

Experience with ADH (Ads Data Hub) and BigQuery a plus

Experience designing and evaluating experimental/ incrementality test

Knowledge of media and advertising (display, digital, paid search etc.)

Other desired qualifications:
Strong curiosity, leadership, and business acumen.

Passionate about using data to drive strategy and product recommendations.

Experience in subscription-based businesses or eCommerce preferred.

Strong interpersonal skills with the ability to motivate, collaborate and influence.

Ability to deliver on multiple projects and meet tight deadlines.

A developed creative taste and strong instinct for stories and experiences that will capture consumers.

Actively engage in strategic conversations with social insights and community perspectives

Ability to adapt rapidly in a fast-moving environment with shifting priorities and the ability to react quickly, dynamically, and intelligently.

Ability to effectively influence and communicate cross-functionally with all levels; exceptional verbal and written communication skills.

Strong presentation skills are a must.

About Skydance
Skydance is a next-generation global media and entertainment company, comprised of three business segments: Studios, Direct-to-Consumer, and TV Media. Skydance's portfolio unites legendary brands, including Paramount, Warner Bros., HBO and HBO Max, Paramount+, Pluto TV, CBS, CNN, CBS Sports, TNT Sports, Nickelodeon, Cartoon Network, MTV, Food Network, BET, HGTV, and Comedy Central.

Some Important Details
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’re a qualified candidate with a disability and you require adjustments or accommodations during the job application and/or recruitment process, please visit our accessibility page for instructions to submit your request.

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