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Product Data Scientist

ExecutivePlacements.com

Salary not specified
Nov 21, 2025
New York, NY, United States of America
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At Bask Health, Product Data Scientists are at the heart of our mission to revolutionize healthcare. They uncover key insights, shape product development, and influence a culture of data-informed (not data-driven) decision-making.

Requirements

  • Proficiency in programming languages such as Python, R, or SQL for data manipulation and analysis.
  • Strong experience with data visualization tools (e.g., Tableau, Looker, or similar).
  • Proficiency in statistical techniques such as regression analysis, hypothesis testing, clustering, and segmentation.
  • Experience with A/B testing and designing experiments.
  • Familiarity with big data tools (e.g., Spark, Hadoop) and cloud platforms (e.g., AWS, Google Cloud) is a bonus.
  • Experience applying machine learning techniques is a plus.

Responsibilities

  • Discover actionable insights Seek objective truths through analysis, challenging assumptions, and uncovering the stories hidden in the data to guide decision-making.
  • Drive meaningful change Apply your analytical, statistical, and technical expertise to generate insights that directly influence our product decisions and business strategy.
  • Work with advanced tools Utilize cutting-edge techniques like regression analysis, segmentation, and A/B testing to inform product optimization and continuous improvement.

Other

  • Bachelors degree in a quantitative field such as Data Science, Computer Science, Statistics, Mathematics, or a related field.
  • 3+ years of experience in data analysis, data science, or a related field, with a proven track record of influencing product decisions through data insights.
  • Experience working with cross-functional teams, including product managers, engineers, and designers.
  • Experience in healthcare, telehealth, or related industries is highly desirable but not mandatory.
  • Excellent communication skills, with the ability to translate complex data into understandable insights for non-technical stakeholders.