Data Scientist

Sr. Lead Data Scientist will be responsible for creating analytical solutions for one or more verticals of  a Video Streaming Service

In this role, the Sr. Lead, Data Scientist will serve as an expert in advanced statistical and machine learning methodologies and lead a group of data scientists to create analytical solutions for multiple business verticals.

Responsibilities include, but are not limited to

Work with a group of data scientists in the development of analytical models using statistical, machine learning and data mining methodologies.

Drive the collection and manipulation of new data and the refinement of existing data sources.

Translate complex problems and solutions to all levels of the organization.

Collaborate with software and data architects in building real-time and automated batch implementations of the data science solutions and integrating them into the streaming service architecture.

Drive innovation of the statistical and machine learning methodologies and tools used by the team.

Qualifications

Advanced (Master or PhD) degree with specialization in Statistics, Computer Science, Data Science, Economics, Mathematics, Operations Research or another quantitative field or equivalent.

5+ years of combined experience in advanced analytics in industry or research.

Experience with commercial recommender systems or a lead role in an advanced research recommender system project.

Working experience with deep learning, particularly in the areas different form the computer vision.

Strong experience with deep learning using TensorFlow.

Experience implementing scalable, distributed, and highly available systems using Google Could Platform.

Experience with Google AI Platform/Vertex AI, Kubeflow and Airflow.

Proficient in Python. Java or Scala is a plus.

Experience in data processing using SQL and PySpark.

Desired Characteristics

Experience in media analytics and application of data science to the content streaming and TV industry.

Good understanding of reinforcement learning algorithms.

Experience with multi-billion record datasets and leading projects that span the disciplines of data science and data engineering

Knowledge of enterprise-level digital analytics platforms (e.g. Adobe Analytics, Google Analytics, etc.)

Experience with large-scale video assets

Team oriented and collaborative approach with a demonstrated aptitude and willingness to learn new methods and tools

This position is eligible for company sponsored benefits, including medical, dental, and vision insurance, 401(k), paid leave, tuition reimbursement, and a variety of other discounts and perks.