Vice President, Data Science

Key Skills

Java Programming, Python Programming, SQL, Git, JIRA, Google BigQuery, Jupyter Notebook, Pandas, TensorFlow, R Programming, SPARK Programming, HBase, Streaming APIs, Confluence, Bitbucket

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 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.

About Paramount:

Paramount Global creates entertainment experiences that drive conversation and culture around the world. Through television, film, digital media, live events, merchandise, and solutions, our brands connect with diverse, young, and the young at heart audiences in more than 180 countries.

Role Overview:

Paramount Streaming is looking for an experienced Data Science leader to guide and oversee the best practices of data science and machine learning methodologies, intending to connect insights from Data to forecast and influence business decisions. Your Day-to-Day Includes but is not limited to:

• Hire and develop a high-impact team of Data Scientists and ML Engineers.
• 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
• Mentor the Data and Insights group on ML concepts/principles and how they can be applied to solve day-to-day business needs.
• Maintain the health of machine learning systems, including speed, model accuracy, reliability, and 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 machine learning engineers and data scientists/BI.Key Projects:
• Drive initiatives that improve the quality of our data as well as make the data more effective with other members of engineering, BI teams, and business units to implement changes.
• You will 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 click Stream-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

Qualifications:

You Have:

• 10+ years experience in Data Science and ML Engineering.
• BS and MS/Ph. D. in Statistics/Economics/Physics/Computer Science or related disciplines specializing in data mining and machine learning techniques.
• 5+ years as a people leader who can assess, acquire, develop, guide & retain a talented group of data scientists.
• Influencer with solid communication skills and the ability to effectively discuss models with other Data Scientists and business partners at the appropriate level of technical detail.
• Strong working knowledge of machine learning and data science technologies and landscape and have experience developing models from research, to a POC, to a production pipeline.
• Familiarity with 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
• 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)
• Must successfully pass a background check

You might also have:

• Experience using project management tools like those from Atlassian (JIRA, Confluence)
• Proficiency in big data modeling work: BigQuery, HBase
• Experience with modeling/development software (Python, R, Pandas, Jupyter Notebook, Spark MLlib, TensorFlow).
• Experience using Google Cloud Platform (BigQuery, ML Engine, and APIs)
• Familiar with version control systems (Git, Bitbucket)