• Director, Data Scientist

    Location : CityStateForPosting Los Angeles, CA
    Job Locations
    US-CA-Hollywood | US-NY-New York
    Job Type
    Full-Time Staff
    iCIMS ID
  • About The Brand

    Viacom has a clear vision: to be the premier destination where a diverse mix of talented people want to come, to stay and do their best work. We pride ourselves on bringing the best entertainment to our global audiences, and we know our company runs on the hard work and dedication of our passionate and creative employees. Through television, film, digital content, live events, merchandise, studio production and more, we connect with billions of people in nearly every country in the world. At Viacom, you will have the opportunity to develop your professional career at the home of iconic brands like BET, Comedy Central, MTV, Nickelodeon, Paramount and others.

    Overview and Responsibilities

    The Viacom Audience Science Group is looking for a Data Scientist to join our team (NYC or LA) and play a highly visible role across the Pluto TV streaming platform. The team is a centralized in-house team that encompasses media strategy, activation, data operations and audience insights and analytics. You should be eager and curious, familiar with digital media data, and have experience demonstrating complex data sets to drive user acquisition growth and retention.

    The Data Scientist will also help evolve and enhance the Advanced Analytics capabilities within the team. You will provide strategic thought leadership and subject matter expertise on Advanced Analytics techniques and bring new opportunities, approaches, ideas, and perspectives.

    Are you someone who:

    • Has a combination of deep and sophisticated advanced analytical expertise, digital media math expert, a strategic and technical mindset, and project management proficiency, together with a real passion for building new capabilities and teams
    • Can creatively structure ambiguous problems, own and drive projects from start to finish, apply sound business discernment, and communicate complex information effectively
    • Has a sincere curious nature, desire to dive deep in the numbers to discover context and make the business case, and goes beyond usual approaches to solve problems and seize opportunities


    • You can build and test scalable data pipelines or models for real-time applications. Assure the quality of the outcome
    • Apply advanced analytic techniques to drive marketing and LTV performance, isolate key KPI trends and performance pacing, optimize consumer online experiences, predict consumer behaviors, improve conversion and LTV, drive media & creative mix optimization and forecast critical business outcomes
    • Effectively work across the advanced analytics lifecycle from data acquisition to visualization
    • Devise and implement efficient and secure procedures for data handling and analysis
    • Produce easy-to-understand, error-free, and timely deliverables that provide actionable insights that address client business objectives
    • Support the development of measurement strategies, learning agendas, and roadmaps with input from senior team members and internal stakeholders
    • Help establish and instill standards, methods, and best practices to advance the collective knowledge and skills

    Technical skills:

    • You have Hands-on experience working with various advanced statistical modeling and other forms of quantitative analysis (MMM, MTA, TV attribution, media response modeling, forecasting, time series analysis, multivariate statistical analysis, factor analysis, regression analysis, propensity, etc.)
    • Experience with data manipulation and statistical / analytical software packages (R, SPlus, SAS, SPSS, SQL) and coding / programming languages (SQL, Python).
    • Hands-on experience with AWS, Hadoop, Spark, Redshift, Snowflake or other big data platforms
    • Hands-on experiences working with aggregate, cookie, user, device and event level datasets

    Basic Qualifications

    • Bachelor's degree, MBA or Master's degree in quantitative studies preferred. The equivalent combination of education, training and work experience may be suitable
    • 3-6 years of work experience in a quantitative business environment

    Additional Qualifications

    • Minimum 3+ years of experience in strategic marketing/media analytics (online & offline, traditional, digital and cross-media)
    • Excellent written and verbal communication skills with the ability to communicate results in a meaningful way


    Sorry the Share function is not working properly at this moment. Please refresh the page and try again later.
    Share on your newsfeed