Senior Data Scientist at Paramount

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.
Overview & Responsibilities
Interest in applying machine learning e.g., supervised methods like logistic regression, SVMs, random forests, deep learning & reinforcement learning, to existing products and services to improve their effectiveness and the overall user experience across our digital properties. Leverage datasets like traffic/video/consumption data from Adobe Analytics clickStream, purchase/subscription data, audience data from syndicated audience measurement services (comScore/ Nielsen), and Ad revenue data from Doubleclick, to model, analyze and predict user behavior. Utilize various statistical measures (mean, median, variance, etc.), distributions (uniform, normal, binomial, Poisson, etc.) and analysis methods (ANOVA, hypothesis testing, etc.) to build and validate models from observed data.
Responsibilities
Build and implement production machine learning systems
Maintain the health of Machine Learning systems (speed, reliability, performance)
Develop internal Machine Learning frameworks and abstractions to facilitate common tasks such as training/testing, feature use/reuse/creation/storage, and deployment. These abstractions are used by both Machine Learning engineers and Data Scientists/BI
Design machine learning systems
Develop Data Science solutions to measure and forecast the impact of content, marketing, and product initiatives in driving subscriber growth
Design Machine Learning systems to scale science solutions across a complex global ecosystem of streaming services and content
Build forecasting and causal models to optimize channel- and title-level media spend
Inform the optimal deployment of Paramount+ capital and resources through data-driven recommendations
Maintain the health of machine learning systems, including speed, model accuracy, reliability, and performance
Document, train, and mentor members of the Data and BI teams on ML concepts and principles, and how they can be applied to solve day-to-day business needs
Work on models such as Media Mix Models, 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 purchase behavior, identify users at risk of churning, and personalize their online experiences
Use look-alike modeling derived from Adobe Analytics clickStream-sourced behavioral data to build more significant audience segments from smaller segments to create targeted “reach” for advertisers.
Contribute to device/user graph/CDP that accounts for multi-platform access and pan-visit user behavior.
Incorporate “anomaly detection” across KPIs, metrics, and datasets to proactively find data issues, data load problems, and failures with minimal human supervision
Basic Qualifications:
4+ years of experience in Data Science and ML Engineering
BS, MS or Ph.D in Statistics/Data Science/Computer Science or related disciplines with specialization in data mining or machine learning techniques
Knowledge of both supervised and unsupervised machine learning techniques
Full stack experience in data collection, aggregation, analysis, visualization, productionalization, and monitoring of data science products
The ability to write robust code in Python and leverage associated machine learning packages
Experience using Jupyter Notebooks
Familiarity with a breadth of statistical models and methods (i.e., causal methods, tree-based algorithms, time series analysis, regression analysis, experimental design, hypothesis testing)
Communicate concisely and persuasively with engineers and product managers
Strong detail orientation with a penchant for data accuracy and good grammar
Familiar with version control systems (Git, BitBucket)
Additional Qualifications
Familiarity with Hadoop pipelines using Spark, Kafka.
Familiarity with Graph Databases (Neo4J)
Proficiency in big data modeling work in warehouse solutions such as BigQuery
Experience using Atlassian project management tools (JIRA, Confluence)
Experience using Google Cloud Platform (BigQuery, ML Engine, and APIs)
Ability to wrangle data using SQL, Pandas, MongoDB
Background in NLP or text mining techniques
Background in deep learning and Tensorflow
#LI-FV 32607
#LI-REMOTE
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. https://www.paramount.com/careers as a result of your disability. You can request reasonable accommodations by calling 212.846.5500 or by sending an email to viacomaccommodations@viacom.com. Only messages left for this purpose will be returned.