Senior Data Scientist
United States or Netherlands - Remote
JW Player
JW Player is the #1 end-to-end video streaming solution to scale your video strategy, maximize engagement, & monetize your video content.About JW Player:
JW Player is the leading video software and data insights platform that gives our customers independence and control in today’s Digital Video Economy. Founded over a decade ago as an open source video player, JW Player’s technology platform now powers digital video for hundreds of thousands of businesses across NA, EMEA, APAC and LATAM. Each month, there are over 1 billion viewers across 2.7 billion unique devices consuming video on JW Player’s technology.
The Engineering Team:
Our Engineering team plays a big part in the company’s success through the development of innovative technologies. Engineers at JW Player are passionate about writing code and solving complex problems. Equipped with modern tech stack, our Engineers attribute to helping drive monetization for our customers across billions of devices monthly.The Opportunity:
As a Senior 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. You will 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.
As a Senior Data Scientist, you will:
- Develop and support predictive models that are used millions of times daily
- Leverage data to research, envision, and implement improvements to JW products
- Envision and define requirements for new data sources
- Collaborate with engineers to envision and build end to end solutions
- Plan, carry out, and analyze controlled experiments
- Influence the direction of the business by effectively communicating results to cross functional groups
- Provide expertise on machine learning concepts for the broader Data Team
Requirements of the role:
- 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
- Deep understanding of statistical modeling, machine learning
- High proficiency with SQL and relational databases
- Proven data visualization skills
- Good organization skills, ability to lead multidisciplinary projects
- An ability to tell stories with data, including for non-technical audiences
Bonus Points:
- Building analytics pipelines with tools like Airflow and/or dbt
- A background using with Looker, Tableau or PowerBI
- Knowledge of video, video advertising
- Familiarity with big data tools like Spark and Presto
Perks of being at JW Player
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!
As a full time employee, you will qualify for:
- Competitive Paid Time Off
- Quarterly and Annual Team Events - because team building is important!
- Professional Career Program and Career Development Opportunities
- Bi-Annual Hack Weeks for those who are interested in using their coding knowledge
- Fireside chats with individuals in the 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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Airflow Big Data Computer Science Data visualization Economics Engineering Looker Machine Learning Mathematics ML models NumPy Open Source Pandas Pipelines Power BI Python RDBMS Research SciPy Spark SQL Statistical modeling Statistics Tableau
Perks/benefits: Career development Salary bonus Team events
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