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Data Scientist

Hang · Remote, New York · Remote · Active · Ashby

Job facts

FieldValue
CompanyHang
TitleData Scientist
Normalized title-
Department / teamEngineering / Engineering
LocationNew York, NY, United States
Work modelRemote / Remote
Employment typeFull Time
Salary-
Statusactive
ATS providerAshby
Posted / first seen / 2026-05-29
Changed / last seen2026-05-29 / 2026-06-06

Related slices

PageWhat it containsOpen
Company jobsActive postings from Hang.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through Ashby.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in New York.Open
Department jobsActive postings in Engineering.Open
Work model jobsActive Remote postings.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyHang
Source16a59955-9b3b-42b9-878d-4320be0d01ae
ATS providerAshby

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 ID08a27d16a7a7970bf45bee7be7338b1908e49d83
Org ID10a8e926-8bcb-4381-ab81-313f0c2eae06
Source ID16a59955-9b3b-42b9-878d-4320be0d01ae
Board ID16a59955-9b3b-42b9-878d-4320be0d01ae
Providerashby
Provider Job Keyc497f91c-9495-45ec-b4d5-8c76a9ef62e2
TitleData Scientist
Normalized Title
Statusactive
Activeyes
Location TextRemote, New York
DepartmentEngineering
TeamEngineering
Employment Typefull_time
Workplace Typeremote
Remote Policyremote
CountryUnited States
RegionNY
CityNew York
Salary Raw
Salary Min
Salary Max
Salary Currency
Salary Period
Source URLhttps://jobs.ashbyhq.com/Hang/c497f91c-9495-45ec-b4d5-8c76a9ef62e2
Apply URLhttps://jobs.ashbyhq.com/Hang/c497f91c-9495-45ec-b4d5-8c76a9ef62e2/application
First Seen At2026-05-29 05:11:37Z
Last Seen At2026-06-06 19:25:06Z
Last Checked At2026-06-06 19:25:06Z
Last Changed At2026-05-29 05:11:37Z
Inactive At
Source Posted At
Source Updated At
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=ashby/board=Hang/date=2026-06-06/2026-06-06T19-25-05-226Z-80c25057feccc328f9ff0b58f641accb75c31474e8c017fccb2a6afacb1effb8.json
Event Fields
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  "last_changed_at": "2026-05-29T05:11:37.199Z",
  "active_status": "active"
}
Parsed Structured
{
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  "location": {
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    "city": "New York",
    "region": "NY",
    "country": "United States",
    "is_remote": true,
    "confidence": 0.75
  },
  "salary_max": null,
  "salary_min": null,
  "inferred_at": "2026-06-06T19:25:06.071Z",
  "launch_scope": {
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    "included": true,
    "language": "en",
    "location": {
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      "city": "New York",
      "region": "NY",
      "country": "United States",
      "is_remote": true,
      "confidence": 0.75
    },
    "countries": [
      "United States"
    ]
  },
  "remote_policy": "remote",
  "salary_period": null,
  "workplace_type": "remote",
  "salary_currency": null
}
Extensions
{}
Native Structured
{
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  "team": "Engineering",
  "title": "Data Scientist",
  "jobUrl": "https://jobs.ashbyhq.com/Hang/c497f91c-9495-45ec-b4d5-8c76a9ef62e2",
  "address": null,
  "applyUrl": "https://jobs.ashbyhq.com/Hang/c497f91c-9495-45ec-b4d5-8c76a9ef62e2/application",
  "isListed": true,
  "isRemote": true,
  "location": "Remote, New York",
  "updatedAt": null,
  "apiVersion": "ashby-non-user-graphql-v1",
  "department": "Engineering",
  "publishedAt": null,
  "workplaceType": "Remote",
  "employmentType": "FullTime",
  "secondaryLocations": []
}
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GET https://api.bluedoor.sh/job-postings/v1/jobs/08a27d16a7a7970bf45bee7be7338b1908e49d83?include=descriptionJSON
GET https://api.bluedoor.sh/job-postings/v1/orgs/10a8e926-8bcb-4381-ab81-313f0c2eae06JSON
GET https://api.bluedoor.sh/job-postings/v1/sources/16a59955-9b3b-42b9-878d-4320be0d01aeJSON
GET https://api.bluedoor.sh/job-postings/v1/jobs/08a27d16a7a7970bf45bee7be7338b1908e49d83/eventsJSON