Director, Data Science (Deep Learning) | Streaming TV (REMOTE)

Company: Lawrence Harvey
Location: New York, New York, United States
Type: Full-time
Posted: 10.JUN.2021
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Summary

Role: Director, Data Science Location: REMOTE This role is with one of the world's leading entertainment/media companies worldwide across ...

Description

Role: Director, Data Science

Location: REMOTE

This role is with one of the world's leading entertainment/media companies worldwide across production, news, development, and marketing. They own a plethora of TV networks and digital platforms, motion picture companies, and theme parks. They have recently entered the streaming service industry and launched an exciting new product that combines timeless shows and movies with timely news, sports and pop-culture!

They are looking for a Director, Data Science (Deep Learning) to support the streaming service. They are looking for someone who has gone beyond classic predictive analytics and into new areas like deep learning and reinforcement learning.

This person will be responsible for creating machine learning solutions for the video streaming service including but not limited to, the recommender systems, streaming content predictive modeling and MarTech. You will also manage a team of data scientists in the design and execution of advanced analytical solutions using advanced data science methodologies including collaborative filtering, deep learning, reinforcement learning, on-line modeling etc.

Responsibilities include, but are not limited to:

  • Lead development of recommendation system using advanced machine learning techniques such as deep learning, graph modeling, collaborative filter, and reinforcement learning
  • Lead research initiatives into state-of-the-art methodologies that will enhance current models and power future personalization features
  • Work with business stakeholders to define business requirements
  • Build real-time and automated batch machine learning pipelines that include data preprocessing, validation, model training, serving, testing, and measurement.

Qualifications/Requirements

  • Master or PhD with specialization in Statistics, Computer Science, Data Science, Economics, Mathematics, Operations Research or another quantitative field or equivalent.
  • 3-6 years' experience utilizing advanced data science and machine learning methodologies
  • 1-2 years of experience using Tensorflow or Pytorch
  • Experience with Tensorflow Extended (TFX)
  • Experience implementing systems using Google Cloud or AWS.
  • Proficient in Python
  • Experience with commercial recommender systems or an advanced research project on recommender systems.
  • Experience with reinforcement learning based systems.
  • Experience with deep learning
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