Applied Data Scientist

Job Description

As television and media habits change, our mission remains true to the principles that founded Discovery – every day we seek to ignite people's curiosity to engage, entertain and enlighten the world around them through amazing viewing experiences.

The Direct to Consumer Group is a technology company within Discovery. We are building a global streaming video platform (OTT) which covers search, recommendation, personalization, catalogue, video transcoding, global subscriptions and really much more. We build user experiences ranging from classic lean-back viewing to interactive learning applications. We build for connected TVs, web, mobile phones, tablets and consoles for a large footprint of Discovery owned networks (Discovery, Food Network, Golf TV, MotorTrend, Eurosport, Discovery Play, and many more). This is a growing, global engineering group crucial to Discovery's future.

Responsibilities

We are hiring Applied Data Scientist to join the Personalization, Recommendation and Search team. As part of a rapidly growing team, you will own complex systems that will provide a personalized and unique experience for millions of users across over 200 countries for all the Discovery brands. You will be responsible for designing and implementing state-of-the-art ML algorithms and systems to personalize the entire experience for our users. You will apply advanced ML techniques to build Recommender and Search systems.

Requirements
• 5+ years of experience designing, building, deploying, testing, maintaining, monitoring and owning scalable, resilient and distributed machine learning algorithms and systems.
• Expertise with Machine Learning algorithms applied to Recommender Systems and Search.
• Proficiency in operating machine learning solutions at scale, covering the end-to-end ML workflow.
• Experience with offline experimentation and A/B testing.
• Deep knowledge of ML tools and frameworks (TensorFlow, Keras, pyTorch, scikit-learn, Spark, ...).

Nearest Major Market: Seattle

Nearest Secondary Market: Bellevue

Jobcode: Reference SBJ-gp909r-3-17-79-60-42 in your application.