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Data Scientist

Full-Time at Hulu Santa Monica

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.

Kyle Hulu Santa Monica Kyle
We are redefining the way people watch TV and I love being at the forefront of entertainment technology. We are always adapting our product to fit the viewers’ needs and constantly looking for the best content to serve our fans.

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.

SUMMARY

At Hulu, the number one priority is our customers. We make business decisions around our customers’ preferences. The Data Science Team at Hulu combines deep data analysis and research of our rich user data to present a compelling vision around user retention and preferences across the vast ecosystem of Hulu’s product offerings and content. We are looking for a Data Scientist who is passionate about developing, improving and operationalizing models for personalizing content recommendations at scale. You will be engaged with other Data Scientists, and cross-functionally with analysts, product managers, and engineers to deliver machine learning based personalization products.

WHAT YOU'LL DO

  • Apply state of the art machine learning and statistics to develop personalization models
  • Implement and debug models in Python using various ML frameworks (e.g. tensorflow, scikit-learn, lightGBM, etc.)
  • Create and deploy training and prediction pipelines to operationalize models using a variety of technologies such Airflow/Luigi, Hive/Spark
  • Collaborate with developers, program managers, and product managers in an open, creative environment

WHAT TO BRING

  • Bachelor's degree in a quantitative field (e.g. Computer Science, Engineering, Mathematics, Physics, Operations Research, Econometrics, Statistics)
  • 2+ years related experience with developing and operationalizing personalization models in either an academic or professional setting and 4+ years of relevant work experience
  • Ability to draw insights and conclusions from data to inform model development and business decisions
  • Desire to collaborate with other data scientists, data analysts, and business partners
  • Familiarity with machine-learning concepts and statistics
  • Proficient in analyzing data and developing machine-learning models using Python (with ML frameworks like tensorflow, scikit-learn, etc.)
  • Capable of reading and writing Object-Oriented code to review and implement modeling pipelines (Airflow, Luigi, etc.)
  • Working knowledge of SQL and distributed data technologies (Hive, Spark)

NICE-TO-HAVES

  • MS in Physics, Computer Science, Engineering, Economics, Statistics or related quantitative field (e.g. Econometrics, Mathematics, Operations Research)
  • Experience fully integrating data science solutions into the business and operationalizing ML models
  • Familiarity with Scala
  • Previous project experience using time-series forecasting, clustering, or regression/classification

Our Hiring Process

  • Step 1

    Apply for a role through our career site, or through a referral, and complete any assessments required for the role. Make sure to browse through Hulu.com and our careers site to get an understanding of our product and culture.

  • Step 2

    If you’re a potential fit, a recruiter will reach out for an initial screen. They will want to learn more about you, your background, goals, and aspirations – and answer any questions you have about the position. You may also be asked to speak to the hiring manager for the role.

  • Step 3

    Come on in and meet the team in person. This is typically the final stage and your chance to leave a lasting impression through your enthusiasm, preparation, abilities, and resume. You may also be asked to present “pre-work” that shows how you would handle a specific challenge or scenario.

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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    2020

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