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Data Scientist

Hang· Engineering
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Hybrid (Remote, New York)full-timePosted 11mo ago

About the role

As our first Data Scientist, you will leverage data to drive insights and strategies that will propel Hang's platform to new heights.

Responsibilities

  • Analyze complex data sets to uncover trends, patterns, and insights that inform business decisions.
  • Develop and implement statistical models and machine learning algorithms to predict customer behaviors and enhance platform capabilities.
  • Collaborate with cross-functional teams to support data-driven decisions and strategy development.
  • Create clear and compelling visualizations to communicate findings to stakeholders.
  • Contribute to the development of data collection strategies to optimize statistical efficiency and data quality.

Qualifications

  • Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, or a related field.
  • 5-10+ years of proven experience as a Data Scientist or in a similar role.
  • Strong knowledge of statistical techniques and machine learning algorithms.
  • Proficiency in programming languages such as Python or R.
  • Experience with data visualization tools and databases.
  • Excellent analytical and problem-solving abilities.
  • Strong communication skills, with the ability to translate complex data into actionable insights.

Skills

Required:Data AnalysisModel DevelopmentData VisualizationProgramming in Python or RCommunication skills

Benefits

  • Top-tier health, vision, and dental insurance, including plans with $0 employee cost.
  • Unlimited PTO / sick leave.
  • Competitive salary & equity compensation.
  • Quarterly company offsites.
Last updated Apr 21, 2026. Interested? Apply on the company site.

About Hang

Supercharge your brand with Hang’s AI-native marketing suite. Launch loyalty, unify data, and let our Copilot lift retention & revenue automatically.

Supercharge your brand with Hang’s AI-native marketing suite. Launch loyalty, unify data, and let our Copilot lift retention & revenue automatically.

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