Hang

Data Scientist

Remote, New York
Level
Senior
Work type
Remote · US only

Not stated in the posting: salary, visa.

Open. First seen 3 October 2026.

About the role

Hang is building the future of loyalty for brands.

Hang is the next generation brand loyalty & membership platform. By harnessing the power of personalization, gamification, and its integrations ecosystem, Hang provides brands with a radically new type of loyalty experience for their customers.

Today, they work with a variety of major brands (such as Ulta Beauty, Budweiser, Flipkart, and more), as well as multiple well-known, up-and-coming restaurant chains (Boba Guys, Roam Artisan Burger, and Williamsburg Pizza, among several others).

Hang draws from years of deep expertise in loyalty, game design, and finance with employees from leading companies like Google, Amazon, Apple, Meta, LinkedIn, Coinbase, Square, and Goldman Sachs.

Hang raised a $16 million Series A led by Paradigm last summer, with participation from Tiger Global, Howard Schultz, Kevin Durant, Mr. Beast, and the founders of Warby Parker, Allbirds, and Bombas, among others.

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. We're looking for someone who is deeply passionate about data, analytics, and the power of information to transform brand loyalty programs.

What You’ll Do

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

Who You Are

  • 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.

What Would Set You Apart

  • You have a passion for consumer brands.
  • You have a strong interest in loyalty programs.

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

What this role asks for

Standard for data science / ML roles

Machine Learning · Python

Common in data science / ML postings at any company.

Compared with Hang's other open jobs.

The team: Engineering

This role is one of 6 open in Engineering.

WHAT THE TEAM WORKS WITH, ACROSS ITS POSTINGS

Machine Learning (4 of 6), Python (4 of 6), Agile (2 of 6), AWS (2 of 6), LLM (2 of 6), Next.js (2 of 6), PostgreSQL (2 of 6)

OTHER ROLES ON THIS TEAM

From the team and dates on Hang's own job board.

Other openings for this role

2 open postings for this role in Remote, New York, first posted 3 October 2026. The company is likely hiring for more than one position. None has been taken down and posted again.

Salary context

84 other open postings titled Data Scientist state a salary: median USD 138,560 to USD 195,050 a year.

See Data Scientist salaries in Remote →

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