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Data Scientist

United States, New York Employment contract 100254.59 - 150381.88 USD / Year · Job Posted June 14, 2026
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Job Description

Freewheel is currently looking to recruit a Data Scientist to join our Audience Revenue Science Team. This role will be responsible for supporting product development efforts related to in-depth data analysis, machine learning, AI, optimization methods, and statistical model building. This role will work very closely with engineering and product management staff to support the development of innovative approaches to the next generation of ad tech products.

Job Responsibility

  • Collaborating with cross-functional teams to define data analysis problems and design experiments
  • Engineering software solutions and algorithms for data cleansing, integration, and analysis
  • Utilizing advanced statistical methods and machine learning to derive actionable insights from big data
  • Implementing statistical and mathematical models to address complex business challenges
  • Constructing data mining frameworks and conducting trend analysis for strategic decision-making
  • Analyzing complex datasets to identify historical patterns in customer and product behaviors
  • Building predictive models to forecast customer actions and guide business planning
  • Synthesizing findings from data science research to inform and optimize business processes
  • Presenting data-driven insights and recommendations through clear, comprehensive deliverables
  • Consistent exercise of independent judgment and discretion in matters of significance
  • Regular, consistent and punctual attendance
  • Must be able to work nights and weekends, variable schedule(s) as necessary
  • Other duties and responsibilities as assigned

Requirements

  • Machine Learning (ML)
  • Data Visualization
  • Applied Machine Learning
  • Structured Query Language (SQL)
  • Data Science
  • Analytical Thinking
  • Python (Programming Language)
  • Bachelor's Degree
  • 0-2 Years of relevant work experience

What we offer

  • Paid Time off
  • Physical Wellbeing
  • Financial Wellbeing
  • Emotional Wellbeing
  • Life Events + Family Support
  • Bonus

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