- Build and implement production machine learning systems.
- Develop data science solutions to forecast content performance and optimize marketing spend.
- Translate complex business problems into quantitative solutions that scale across our global ecosystem of streaming services and content.
- Validate models through back-testing and evaluation of observed data.
- Automate machine learning pipelines using MLOps standard methodologies.
- Inform the efficient deployment of Paramount+ capital and resources through data-driven recommendations.
- Maintain the health of machine learning systems, including speed, model accuracy, reliability, and performance.
- Deliver data insights at the appropriate level of detail and perform fast follow-up to feedback.
- You will work on models such as LTV Forecasting, Subscriber Propensity Models, Content Valuation & Forecasting, and "Green Light" Models.
- Build a user-level data management platform that serves as the central data hub allowing machine learning software components to "plug in" and segment users, predict future behavior, identify users at risk of churning, and personalize their online experiences.
- Chip in to device/user graph/CDP that accounts for multi-platform access and pan-visit user behavior.
- Build models to guide our content strategy such as content affinity, slate planning, and scheduling optimization models.
- 0-3 years of experience in Data Science and ML Engineering.
- MS or PhD in Statistics, Data Science, Computer Science or related disciplines with specialization in machine learning techniques.
- Knowledge of both supervised and unsupervised machine learning techniques.
- Have full stack experience in data collection, aggregation, analysis, visualization, productionalization, and monitoring of data science products.
- Prowess in writing robust code in Python and leverage associated machine learning packages.
- Experience using Jupyter Notebooks.
- Familiarity with a variety of statistical models and methods (i.e., causal methods, tree-based algorithms, time series analysis, regression analysis).
- Communicate concisely and persuasively with engineers and product managers.
- Strong detail orientation with a penchant for data accuracy.
- Familiar with version control systems (Git, BitBucket).
- Experience using Google Cloud Platform (BigQuery, ML Engine, and APIs).
- Experience with Databricks and Spark.
- Experience using project management tools like those from Atlassian (JIRA, Confluence)
- Adept in wrangling data using SQL, Pandas, MongoDB.
- Background in NLP or text mining techniques.
- Background in deep learning and Tensorflow.
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Data Scientist - Burbank, United States - Paramount
Description
OVERVIEW & RESPONSIBILITIES
We are looking for a hardworking data scientist to build machine learning products to optimize our content and marketing investment decisions. You will bring to bear datasets collected from tens of millions of users as they engage with content on Paramount+, such as video consumption data from Adobe Analytics clickStream, purchase / subscription data, and Ad revenue data from Doubleclick, to build machine learning models to guide business strategy. Perspicacity and track record of building and deploying models, superb communication skills, and curiosity about the streaming entertainment industry.
BASIC QUALIFICATIONS
ADDITIONAL QUALIFICATIONS
#LI-FV 40119
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Join the Paramount Streaming Talent Community Get the inside scoop on life at Paramount Streaming and about career opportunities.
Paramount+, a direct-to-consumer digital subscription video on-demand and live streaming service from Paramount Global, combines live sports, breaking news, and a mountain of entertainment. The premium streaming service features an expansive library of original series, hit shows and popular movies across every genre from world-renowned brands and production studios, including BET, CBS, Comedy Central, MTV, Nickelodeon, Paramount Pictures and the Smithsonian Channel. The service is also the streaming home to unmatched sports programming, including every CBS Sports event, from golf to football to basketball and more, plus exclusive streaming rights for major sports properties, including some of the world's biggest and most popular soccer leagues. Paramount+ also enables subscribers to stream local CBS stations live across the U.S. in addition to the ability to stream Paramount Streaming's other live channels: CBSN for 24/7 news, CBS Sports HQ for sports news and analysis, and ET Live for entertainment coverage.
ADDITIONAL INFORMATION
Hiring Salary Range: $98, ,
The hiring salary range for this position applies to New York, California, Colorado, Washington state, and most other geographies. Starting pay for the successful applicant depends on a variety of job-related factors, including but not limited to geographic location, market demands, experience, training, and education. The benefits available for this position include medical, dental, vision, 401(k) plan, life insurance coverage, disability benefits, tuition assistance program and PTO or, if applicable, as otherwise dictated by the appropriate Collective Bargaining Agreement. This position is bonus eligible.
Paramount is an equal opportunity employer (EOE) including disability/vet.
At Paramount, the spirit of inclusion feeds into everything that we do, on-screen and off. From the programming and movies we create to employee benefits/programs and social impact outreach initiatives, we believe that opportunity, access, resources and rewards should be available to and for the benefit of all. Paramount is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, creed, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, and Veteran status.
If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access as a result of your disability. You can request reasonable accommodations by calling or by sending an email to Only messages left for this purpose will be returned.