Senior Data Scientist (Future Position)

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.

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.

Role & Responsibilities 

Location: Hybrid near one of our hubs - Los Angeles, New York, Boulder, Chicago, Dallas, St. Petersburg.

We are seeking a highly skilled Data Scientist / Senior Data Scientist to join our Measurement & Outcomes team. Reporting into the Data Science organization, you will work closely with our Outcomes Tech Lead as a key technical partner and core contributor to build and scale our methodology.

In this role, you will:

• Support the design, development, and deployment of advanced statistical models to optimize advertising campaign measurement and improve planning and targeting accuracy.

• Develop and refine methodologies for core outcome products, specifically attribution and lift models.

• Adapt existing measurement models to solve for specific client use cases

• Ensure the integrity and accuracy of data through rigorous testing and validation of models.

• Work closely with engineering and MLOps teams to integrate models into production systems, ensuring scalability and reliability.

• Communicate complex analytical concepts and results to stakeholders in a clear and concise manner.

Qualifications

• Master’s, or Ph.D. in Mathematics, Statistics, Science, Computer Science, Data Science, or a related field.

• 2-5+ years of proven experience 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, A/B testing, causal inference, 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.

• Familiarity with big data technologies such as Snowflake, Spark, Databricks, and cloud platforms (AWS, GCP, etc.) is a plus.

• Proficient with AI tools such as Gemini and Claude.

 

What We Offer

This position pays between $135,000 - $170,000 + 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 receive a full week off for Summer Break and another full week off for Winter Break.

• Comprehensive medical, dental, and vision benefits for you and your dependents - including multiple options fully covered by VideoAmp

• Professional and personal support with licensed therapists and career coaches

• Unlimited financial wellness sessions with Origin financial advisors

• 401k Plan with matching

• HSA & FSA

• 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 technical revenue accounting, SaaS transformation, and AdTech innovation, 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!