Senior Director, Data Science

Posted 5 Hours Ago
Be an Early Applicant
San Francisco, CA
Hybrid
250K-300K Annually
Senior level
AdTech • Machine Learning
The Role
Lead a team of data scientists and engineers to develop innovative measurement products and data-driven solutions, ensure high-quality project delivery, and establish best practices for data science projects. Collaborate with multiple teams to enhance TV measurement and methodology while mentoring team members and advancing an inclusive culture.
Summary Generated by Built In

Samba TV tracks streaming and broadcast video across the world with our proprietary data and technology. We are on a mission to fundamentally transform the viewing experience for everyone. Our data enables media companies to connect with audiences for new shows and movies, and enables advertisers to engage viewers and measure reach across all their devices. We have an amazing story with a unique perspective on culture formed by a global footprint of data and AI-driven insights


Samba TV, recognized by Inc. Magazine as one of the fastest-growing companies in the US and one of the "most interesting ad-tech upstarts of the year" by Business Insider. Samba TV is uniquely positioned at the forefront of the TV revolution. The way people discover, watch, and engage with television has fundamentally changed, and we're connecting the dots to help better understand audience trends and viewership habits for marketers.

WHAT WE SEEK

  • We are seeking a Senior Director of Data Science and Measurement to lead a team of scientists and engineers and drive innovation in the development and application of advanced measurement and data science techniques. The candidate will have a proven track record of leadership in measurement and ad tech and has a deep understanding of machine learning, statistics, and data analysis. They will be responsible for leading the development of new data-driven measurement products and insights, managing a team of data scientists and engineers, and working closely with other teams to ensure the successful delivery of projects.

WHAT YOU'LL DO

  • Drive the vision, strategy, and development of innovative measurement products and solutions that provide value for our customers.
  • Manage and mentor a team of data scientists and engineers, providing guidance and support to ensure high-quality work and successful project delivery.
  • Collaborate with other teams, including product, engineering, and business development, to define and execute on data-driven projects.
  • Build a Data Quality framework to ensure the robustness and consistency of our data products
  • Collaborate with Product and Engineering teams to advance our TV measurement and methodology
  • Develop and implement best practices and processes for data science projects, including data management, modeling, and analysis.
  • Stay up-to-date with the latest data science techniques and technologies, and identify opportunities to apply them to our business.
  • Communicate insights and findings to both technical and non-technical audiences, and provide thought leadership on the future of measurement, ad tech, and their applications.
  • Manage and prioritize multiple projects and initiatives, and ensure timely delivery of high-quality work
  • Identify and develop top talent and support an inclusive, high performing team culture.

WHO YOU ARE

  • Advanced degree in computer science, statistics, mathematics, or a related field
  • 8+ years of experience in data science, with a track record of developing and implementing data-driven solutions in a complex, fast-paced environment
  • Demonstrated experience leading and managing teams of data scientists and delivering complex data projects on time and on budget
  • Strong knowledge of machine learning, statistical modeling, and data visualization techniques
  • Experience with big data technologies such as Spark, Big Query, and Snowflake
  • Excellent communication and interpersonal skills, with the ability to translate complex data science concepts to technical and non-technical stakeholders
  • Experience working in the advertising industry, preferably in the TV space, is a plus

Requisition #1184


Samba TV is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We strive to empower connection with one another, reflect the communities we serve, and tackle meaningful projects that make a real impact.


Samba TV may collect personal information directly from you, as a job applicant, Samba TV may also receive personal information from third parties, for example, in connection with a background, employment or reference check, in accordance with the applicable law. For further details, please see Samba's Applicant Privacy Policy. For residents of the EU , Samba Inc. is the data controller.

Top Skills

Machine Learning
The Company
HQ: San Francisco, CA
318 Employees
On-site Workplace
Year Founded: 2008

What We Do

Television remains a vibrant cultural influence and an essential source of entertainment and information worldwide. Tremendous growth in content choices, and viewing platforms that allow us to watch anything, anytime, on any screen, has actually made it harder for viewers to discover and keep up with all the great programming available. It’s also more competitive for content providers to keep your attention, and for marketers to make strong, measurable connections with their target consumers.
Technology that improves the viewing experience, enables content discovery, and addresses audience fragmentation across screens will strengthen television’s business model and relevance to consumers. Data is at the center of any solution to make TV better.
Samba TV's technology is built into Smart TVs and easily maps to smart phones and tablets. By recognizing what's on screen, Samba TV learns what viewers like and using machine learning algorithms, enables discovery of shows and actors in a whole new way. Likewise, our data and measurement products are transforming the way stakeholders across the media landscape are thinking about their business. Given the dramatic growth in streaming services, connected devices, time-shifting, and multi-screen viewership, our data products solve real problems and create a meaningful competitive advantage for our clients.

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