Senior Data Scientist

VideoAmp Careers WebsiteNew York, NY
$169,541 - $208,000Remote

About The Position

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.

Requirements

  • 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.

Responsibilities

  • 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.
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