Paramount Global (NASDAQ: PARA, PARAA) is a leading global media and entertainment company that creates premium content and experiences for audiences worldwide. Driven by iconic studios, networks and streaming services, Paramount's portfolio of consumer brands includes CBS, Showtime Networks, Paramount Pictures, Nickelodeon, MTV, Comedy Central, BET, Paramount+, Pluto TV and Simon & Schuster, among others. Paramount delivers the largest share of the U.S. television audience and boasts one of the industry's most important and extensive libraries of TV and film titles. In addition to offering innovative streaming services and digital video products, the company provides powerful capabilities in production, distribution and advertising solutions. Overview & Responsibilities
The Paramount Technology department supports our global content company through the delivery of a high quality viewing experience, system infrastructure support, and creating innovative ways for our employees to collaborate. If you are interested in a strategy that has growth, transformation, and ongoing innovation where you can help “reinvent the broadcasting wheel” ViacomCBS Tech has a role for you!
Overview
The Advanced Media team sits within the larger Technology organization at ViacomCBS, supporting the Ad Sales organization and other verticals within the ViacomCBS business. At the core, we are a data-driven team that uses data science to create strategic efficiencies and empower our client teams with innovative offerings. We are passionate about developing data products that not only get used across the company, but also get talked about in the press for innovation. We are looking for a passionate and skilled Senior Data Scientist to help deliver data science solutions at scale. You will lead statistical analysis projects, design, prototype and implement innovative machine learning projects, and data science experiments. In addition, you will work closely with a multidisciplinary team of data scientists, data engineers, and software engineers to deliver on our KPIs.
Responsibilities
Research and implement data science approaches, and undertake data exploration analysis to help solve business problems
Generate data driven insights through exploratory data analysis on first, second, and third-party data
Design and implement statistical experiments
Build machine learning models
Lead machine learning model evaluation design
Champion data governance and evangelize data science standards within the company
Partner with product teams to define project evaluation KPIs
Define, evaluate and monitor product performance metrics, understanding root cause of changes
Mentor and coach junior data scientists
Manage and maintain team’s data science code repository
Basic Qualifications
4+ years’ experience building and deploying data science systems at scale
Acute understanding of relational database management systems and proficiency in writing SQL queries
Hands on experience with ML algorithms and optimization techniques
Additional Qualifications
4+ years’ experience with cloud architecture including AWS, GCP and Azure and development methods
Understanding of integrating ML/AI insights into front-end applications
Strong written and oral communication skills, being able to communicate insights to technical and non-technical audiences
Proficiency in python programming language
Education
Masters or PhD in STEM field
#LI-EA1
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.
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