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Lead Data Scientist - Customer Data Science

Full-Time at Hulu Santa Monica, Hulu San Francisco, Hulu New York Req ID: PTG-LeadDSCustomer

The data life

Data drives Hulu, and our Data Platform and Data Sciences teams are some of the most talented in the industry. We've built a data platform that can ingest, store, and process terabytes of data every day. Here, you can focus on a variety of domains such as data science, machine learning, and optimization — all while collaborating on a cutting-edge analytical solution development pipeline. We'll look to you to provide data analysis and research to present a compelling vision of viewer retention and preferences across the vast ecosystem of Hulu's product offerings and content.

Herbie Hulu Santa Monica Herbie
Our culture here is pretty special – fun, inclusive, balanced and also ambitious and creative. I learn so much from the other data scientists here. I’m proud to work on the Hulu product as well – bringing a variety of stories to people’s devices and living rooms and being an overall net positive in people’s lives.

The part you’ll play and
preparation for your role.

Hulu is the leading premium streaming service offering live and on-demand TV and movies, with and without commercials, both in and outside the home. Operating at the intersection of entertainment and technology, Hulu has a unique opportunity to be the number one choice for TV. We captivate and connect viewers with the stories they love, and we're looking for people who are passionate about redefining TV through innovation, unconventional thinking, and embracing fun. Join us and see what Hulugan life is all about.

Data scientists at Disney Streaming Services are the insights and modeling partners for the growth, content, marketing, product, and engineering teams at Disney+, Hulu and ESPN+. They use data to empower decision-makers with information, predictions, and insights that ultimately influence the experiences of millions of users worldwide. Scientists on the team build models, perform statistical analysis, and create visualizations to provide scalable, persistent capability that is iteratively improved through direct interaction with cross-functional business partners.

WHAT YOU'LL DO

  • Modeling: Design, build and improve machine learning models. Work end to end from data collection, feature generation and selection, algorithm development, forecasting, visualization and communicating of model results. Collaborate with engineering to productionize models.
  • Drive experimentation to test impact of model based optimization.
  • Deep analysis: Develop comprehensive understanding of subscriber and payment data structures and metrics. Mine large data sets to identify opportunities for driving growth and retention of subscribers.
  • Visualization of Complex Data sets: Development of prototype solutions, mathematical models, algorithms, and robust analytics leading to actionable insights communicated clearly and visually.
  • Partnership: Partner closely with business stakeholders to identify and unlock opportunities, and with other data teams to improve platform capabilities around data modeling, data visualization, experimentation and data architecture.

WHAT TO BRING

  • Master’s degree in a quantitative field (e.g. Computer Science, Engineering, Mathematics, Physics, Operations Research, Econometrics, Statistics)
  • 7+ years of experience designing, building, and evaluating practical machine learning solutions
  • 7+ years of experience with statistical programming language (e.g. Python, Spark, PySpark) and database languages (e.g. SQL)

NICE TO HAVES

  • Doctorate degree in a quantitative discipline
  • Excellent analytical skills, advanced level of statistics knowledge
  • Strong expertise with Python and libraries such as scikit-learn, SciPy
  • Familiarity with Bayesian modeling and probabilistic programming packages such as PyMC
  • Familiarity with data platforms and applications such as Databricks, Jupyter, Snowflake, Airflow, Github
  • Familiarity with data exploration and data visualization tools such as Tableau, Looker
  • Familiarity with designing and analyzing A/B testing and other experiment types
  • Demonstrated skills in selecting the right statistical tools given a data analysis problem
  • Ability to adapt quickly in a fast-moving environment with shifting priorities
  • Strong communication skills, for both technical and non-technical audiences
  • Ability to handle multiple tasks concurrently and in a timely manner, including large and complex ones
  • Demonstrated leadership experience, including people and project management

Our Hiring Process

  • Explore life at Hulu

    Thanks for stopping by to get an inside scoop on our products and culture. Once you get a taste of the Hulu way of life, take some time to browse our open jobs to see where your expertise, interests, and experience align! We are so excited to see what you bring to the table.

  • Up next on your journey

    You applied to one of our roles and it looks like you might be a fit. As a next step, prepare to discuss your background, goals, and aspirations with a recruiter or team member.
    They will also be ready to answer all of your questions about Hulu and the role. If you aren't a fit this time, keep an eye on our open roles for the next opportunity that might be a match.

  • Meet the team

    Log on and meet the team virtually. With Hulu focused on keeping candidates and employees safe, we are conducting all interviews through video conferencing technology, and we are leveraging digital collaborative tools to ensure the experience is thorough and positive.
    The video interview is typically the final stage of the process and your chance to leave a lasting impression through your enthusiasm, preparation, abilities, and resume.

Just like the best ensemble casts of our favorite shows,
Hulu embraces diversity and is proud to be an Equal Opportunity Employer.

We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, genetic information, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, in accordance with applicable federal, state, and local law. Hulu is committed to providing reasonable accommodations to applicants if needed during the interview process.

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