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VideoAmp

Principal Data Scientist

Sorry, this job was removed at 12:14 a.m. (EST) on Thursday, Nov 20, 2025
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Hybrid
2 Locations
Hybrid
2 Locations

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VideoAmp is on a mission to create the best employee and workplace experience where people can bring their whole self to work everyday.  We believe that accomplishing something great requires a special group of people who work hard, drive results and have a blast while doing it - people who challenge the status quo and embody our values.  People who say “I’ll find a way” instead of saying “it can’t be done.”
At VideoAmp, we believe in challenging advertising paradigms to maximize value for clients. We do this by enabling companies to execute on business outcomes across their media investment instead of more traditional media metrics. VideoAmp is the software and data solutions company powering the convergence of linear TV and digital video advertising. Our solutions connect linear TV viewership with addressable data assets to benefit the marketing and media industries. This enables marketers and content owners to holistically plan, transact, and measure deduplicated audiences across digital video, OTT, connected and linear TV advertising.
Role & Responsibilities

Los Angeles, CA or New York City (Hybrid)

We are seeking a highly skilled Principal Data Scientist to lead methodology development as part of a team of advertising technology focused data scientists. The ideal candidate will have extensive experience in statistical modeling, machine learning, and data analysis, with an understanding of advertising technology concepts. You will play a critical role in developing and implementing data-driven strategies, optimizing statistical methods, and driving innovation within the company.

  • Lead the design, development, and deployment of advanced statistical models to optimize advertising campaign measurement and improve planning and targeting accuracy.
  • Collaborate with cross-functional teams to identify business opportunities and translate them into data science projects.
  • Develop and implement machine learning algorithms to analyze large-scale datasets, uncovering insights and trends that drive strategic decision-making.
  • Mentor and guide junior data scientists, fostering a culture of continuous learning and professional development.
  • Communicate complex analytical concepts and results to stakeholders in a clear and concise manner.
  • Stay current with the latest advancements in data science, machine learning, and advertising technology, incorporating new techniques and tools into the team’s workflow.
  • Ensure the integrity and accuracy of data through rigorous testing and validation of models.
  • Work closely with engineering teams to integrate models into production systems, ensuring scalability and reliability.
  • Drive the innovation of data products and services, contributing to the company's overall growth and competitive edge.

Qualifications

  • Master’s or Ph.D. in Statistics, Mathematics, Computer Science, Data Science, or a related field.
  • Proven experience (8+ years) in data science, with a strong focus on statistical modeling and machine learning.
  • Proficiency in programming languages such as Python and SQL.
  • Expertise in statistical techniques, including regression analysis, hypothesis testing, Bayesian methods, and time-series analysis.
  • Experience with general machine learning frameworks and libraries. 
  • Strong analytical and problem-solving skills, with the ability to work with complex datasets and extract actionable insights.
  • Excellent communication and presentation skills, with the ability to convey technical information to non-technical audiences.
  • Experience in the advertising technology industry is highly desirable.
  • Familiarity with big data technologies such as Snowflake, Databricks, and cloud platforms (AWS, GCP, etc) is a plus.

What We Offer

This position has a minimum salary of $184,000 - $220,000 + Equity + Benefits. The actual compensation offer will be determined by a number of factors, including, but not limited to, applicant's qualifications, skills, and experience.

  • Discretionary and flexible paid time off
  • In addition to standard US holidays off, VideoAmp employees also partake in Spring, Summer and Winter breaks
  • Comprehensive medical, dental, and vision benefits for you and your dependents - including multiple options fully covered by VideoAmp
  • Unlimited financial wellness sessions with Origin financial advisors
  • 401k Plan with matching
  • HSA & FSA
  • Commuter Benefits
  • Cell Phone Reimbursement
  • Paid Maternity and Parental Leave for All Family Additions

We are on a collective mission to bring equity and transparency into media measurement, and that begins with an honest, inclusive culture. At VideoAmp, we empower our team to thrive through collaboration, mentorship, and innovation. If you're passionate about all things data and tech, and have extensive knowledge and curiosity around the digital media space, we’d love to hear from you.

Above all, if you're eager to influence and support the revolutionary goals of a dynamic, cross-functional team -  join us and make an impact!

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VideoAmp New York, New York, USA Office

Located adjacent to Santa Monica in the heart of West Los Angeles; 10 Freeway and Expo Line in immediate area.

What you need to know about the NYC Tech Scene

As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.

Key Facts About NYC Tech

  • Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
  • Key Industries: Artificial intelligence, Fintech
  • Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
  • Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

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