Data Scientist

Job Description

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 that touch the subscriber at each point in the customer lifecycle (acquisition, promo period, paid subscriber, post cancellation). 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 predictive models
• Help develop/build subscriber segmentation frameworks based on how subscribers interact with content and their behaviors on site
• Implement and debug models in Python using various ML frameworks (e.g. scikit-learn, lightGBM, etc.)
• Build 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, Econometrics, Engineering, Mathematics, Physics, Operations Research, Statistics)
• Familiarity with machine-learning concepts and statistics
• Previous project experience using time-series forecasting, clustering, or regression/classification
• Ability to draw insights and conclusions from data to inform model development and business decisions
• 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 degree in a quantitative field (e.g. Computer Science, Econometrics, Engineering, Mathematics, Physics, Operations Research, Statistics)
• Experience fully integrating data science solutions into the business and operationalizing ML models

Jobcode: Reference SBJ-rbxm6e-18-117-186-92-42 in your application.