Senior Data Scientist - Remote

Job Description

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 US 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

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Paramount is an equal opportunity employer (EOE) including disability/vet.

Jobcode: Reference SBJ-dyee9m-3-135-219-166-42 in your application.