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Senior Data Scientist

Videoamp

New York, NY (New York - HQ) permanent

Posted: April 9, 2026

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Quick Summary

Develop and implement machine learning algorithms to analyze large-scale datasets and uncover insights to drive strategic decision-making, supporting the design, development, and deployment of advanced statistical models to optimize advertising campaign measurement and improve planning and targeting accuracy.

Job Description

VideoAmp, Inc. seeks a Senior Data Scientist to work in New York, NY.

Job duties: Develop and implement machine learning algorithms to analyze large-scale datasets, uncovering insights and trends that drive strategic decision-making. Support the design, development, and deployment of advanced statistical models to optimize advertising campaign measurement and improve planning and targeting accuracy. Communicate complex analytical concepts and results to stakeholders in a clear and concise manner. 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.

- Requires a Bachelor’s degree in Statistics, Mathematics, Computer Science, Data Science, or related field (or its equivalent) plus 5 years of experience.
- Requires 5 years of experience in data science, with a strong focus on statistical modeling and machine learning.
- Requires 5 years of experience in statistical techniques, including regression analysis, hypothesis testing, Bayesian methods, and time-series analysis.
- Requires 5 years of experience with strong analytical and problem-solving skills, with the ability to work with complex datasets and extract actionable insights.
- Requires 3 years of experience with programming languages such as Python and SQL.
- Requires 3 years of experience with general machine learning frameworks and libraries.

Telecommuting permitted. 40 hours/week, $169,541 - $208,000 per year. Must also have authority to work permanently in the U.S. Applicants who are interested in this position may apply https://www.jobpostingtoday.com/ Ref #56229.

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