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Data Scientist
Hang · Remote, New York · Remote · Active · Ashby
Job facts
| Field | Value |
|---|---|
| Company | Hang |
| Title | Data Scientist |
| Normalized title | - |
| Department / team | Engineering / Engineering |
| Location | New York, NY, United States |
| Work model | Remote / Remote |
| Employment type | Full Time |
| Salary | - |
| Status | active |
| ATS provider | Ashby |
| Posted / first seen | — / 2026-05-29 |
| Changed / last seen | 2026-05-29 / 2026-06-06 |
Related slices
| Page | What it contains | Open |
|---|---|---|
| Company jobs | Active postings from Hang. | Open |
| Company breakdowns | Role, location, ATS, and work model facets for this company. | Open |
| ATS provider jobs | Active postings observed through Ashby. | Open |
| Provider filtered search | The same provider as a filtered job collection. | Open |
| City jobs | Active postings in New York. | Open |
| Department jobs | Active postings in Engineering. | Open |
| Work model jobs | Active Remote postings. | Open |
| Lifecycle events | Open, update, close, and reopen events for this posting. | Open |
| Original posting | Canonical source or apply URL captured from the ATS. | Open |
Linked records
| Company | Hang |
| Source | 16a59955-9b3b-42b9-878d-4320be0d01ae |
| ATS provider | Ashby |
Description
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
Full job record
| Job ID | 08a27d16a7a7970bf45bee7be7338b1908e49d83 |
| Org ID | 10a8e926-8bcb-4381-ab81-313f0c2eae06 |
| Source ID | 16a59955-9b3b-42b9-878d-4320be0d01ae |
| Board ID | 16a59955-9b3b-42b9-878d-4320be0d01ae |
| Provider | ashby |
| Provider Job Key | c497f91c-9495-45ec-b4d5-8c76a9ef62e2 |
| Title | Data Scientist |
| Normalized Title | — |
| Status | active |
| Active | yes |
| Location Text | Remote, New York |
| Department | Engineering |
| Team | Engineering |
| Employment Type | full_time |
| Workplace Type | remote |
| Remote Policy | remote |
| Country | United States |
| Region | NY |
| City | New York |
| Salary Raw | — |
| Salary Min | — |
| Salary Max | — |
| Salary Currency | — |
| Salary Period | — |
| Source URL | https://jobs.ashbyhq.com/Hang/c497f91c-9495-45ec-b4d5-8c76a9ef62e2 |
| Apply URL | https://jobs.ashbyhq.com/Hang/c497f91c-9495-45ec-b4d5-8c76a9ef62e2/application |
| First Seen At | 2026-05-29 05:11:37Z |
| Last Seen At | 2026-06-06 19:25:06Z |
| Last Checked At | 2026-06-06 19:25:06Z |
| Last Changed At | 2026-05-29 05:11:37Z |
| Inactive At | — |
| Source Posted At | — |
| Source Updated At | — |
| Raw Payload Uri | s3://job-postings-prod-raw-590183727216/raw/provider=ashby/board=Hang/date=2026-06-06/2026-06-06T19-25-05-226Z-80c25057feccc328f9ff0b58f641accb75c31474e8c017fccb2a6afacb1effb8.json |
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