Data Scientist at Jw Player

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:

Develop and support predictive models used millions of times daily
Leverage data to research, envision, and implement improvements to JW products
Envision and define requirements for new data sources
Work with engineers to envision and build end to end solutions
Work with Product Managers to answer key questions about JW Player products
Plan, execute, and analyze controlled experiments
Influence the direction of the business by effectively communicating results to cross functional groups
Democratize data by building and sharing tools and dashboards
Provide expertise on machine learning concepts for the broader Data Team and inspire the adoption of data science across the entire breadth of our organization

Who You Are:

3+ years experience of bringing data science products into production
An advanced degree in an analytical field such as (but not limited to!) statistics, computer science, mathematics, operations research, engineering, natural sciences, economics
Fluency in Python and libraries such as pandas, numpy, scipy, & scikitlearn
Strong knowledge of statistical modeling, machine learning
High proficiency with SQL and relational databases
Strong data visualization skills
Good organization skills, ability to lead multidisciplinary projects
A strong ability to tell stories with data, including for non-technical audiences
Strong business knowledge

Bonus Points:

Experience building analytics pipelines with tools like Airflow and/or dbt
Experience with deep learning frameworks like Tensorflow
Experience with Looker
Knowledge of video, video advertising
Familiarity with big data tools like Spark and Presto

 
About JW PlayerJW 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.
Our Perks
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! 

Medical, Vision and Dental Coverage through Empire BlueCross
Open PTO Policy - Self care is IMPORTANT! 
Development Program
An opportunity to make an impact in a fast paced environment
Bi - Annual Hack Weeks
AMA (Ask Me Anything) and Fireside chats with Executives & JW Player family

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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