JW Player powers billions of video plays every week across a wide spanning web of broadcasters and video publishers with a diverse set of audiences and content types. Leveraging the vast stream of data sent by our flagship player, the Data Science team works in close collaboration with adjacent teams to improve our existing products, drive sound decision making, and develop new data products that bring value to our customers in both the video publishing and video advertising spaces. We iterate quickly, conduct frequent experiments, and seek to be data driven in everything we do.
As a Data Scientist at JW Player, you will be joining a collaborative, creative, multidisciplinary team of scientists, engineers, and data analysts responsible for research and development, product analytics, and running production machine learning models that make tens of millions of predictions every day.
As a Data Scientist, you will:
Who You Are:
About JW Player
JW Player pioneered video on the web over a decade ago and continues to innovate as the world’s largest network-independent platform for video delivery and intelligence. Media companies including Fox, VICE, Business Insider, and Univision, in addition to hundreds of thousands of creators of all types and sizes, rely on JW Player to deliver and monetise their content across all devices. JW Player’s massive global footprint of over 2 billion unique devices creates a powerful data graph of unique consumer insights and generates billions of incremental video views. The company is headquartered in New York, with offices in London and Eindhoven, and was named to Deloitte’s Technology Fast 500™ in 2018. For more information, visit http://www.jwplayer.com.
When you join JW Player, you are not just joining a company or a team but a family. Our goal is to take care of you and ensure you will be successful in your new role. Your success is our success. When you join us, your benefits kick in from day one!
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
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