Job Description
Paramount+, a direct-to-consumer digital subscription video on-demand and live streaming service from ViacomCBS, 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 ViacomCBS Streaming's other live channels: CBSN for 24/7 news, CBS Sports HQ for sports news and analysis, and ET Live for entertainment coverage.
Who you are
You are a problem solver, good communicator, and possess a strong sense of action and ownership. The perfect candidate for this role will use their skills in reverse engineering, analytics and creative experimental solutions to devise data and BI solutions. This engineer supports data pipeline development using disparate data sources. The ideal candidate will also work on data products solutions that include internal web applications and custom data visualization.
Key Responsibilities:
Work with stakeholders and data engineering teams to provide data product solutions that support our partners.
Works with large volumes of traffic data and user behaviors to build pipelines that enhance raw data.
Able to break down and communicate highly complex data problems into simple, feasible solutions.
Extract patterns from large datasets and transform data into an informational advantage.
Ongoing development of technical solutions while developing and maintaining documentation, at times training impacted teams.
Contributing ideas on how to make our data more effective and working with other members of the engineering, BI teams, and business units to implement changes.
Servicing multiple ad hoc requests in a timely manner
Ensuring regularity and standardization in data, metrics, and analysis.
Basic Qualifications:
Master's degree in Statistics, Math, or Computer Science
1 to 3 years of commercial experience in a data engineer or data scientist role
Proficient in Python
Able to write SQL to perform common types of analysis.
Experience with Apache Airflow
Experience with a Python web framework such as Django or Flask.
Experience and comfort working with unstructured/non-standardized data
Familiar with a NOSQL database such as MongoDB.
Experience with exploratory data analysis using tools like iPython Notebook, Pandas & matplotlib, etc.
Experience with Docker and Kubernetes.
Familiarity with ELT/ETL concepts
Experience building and deploying application on a cloud platform (Google Cloud Platform preferred)
Additional Qualifications:
Familiar with D3, Chart.js and creating web based interactive visualizations.
Familiar with Javascript, HTML, CSS and front end web development.
Familiar with Angular framework or React Library
Nice to have:
Can perform statistical analyses using tools such as R, Numpy/SciPy with Python
Experience with Adobe Analytics (Omniture)
ViacomCBS is an equal opportunity employer (EOE) including disability/vet.
Jobcode: Reference SBJ-rnxjek-54-160-243-44-42 in your application.