--- title: 'Data Scientist at Hang' canonical: 'https://feeny.ai/job/data-scientist-hang-new-york-dfp67rdrjkf4' type: 'job' last_seen: '2026-09-10' --- # Data Scientist at Hang - **Company:** Hang - **Location:** New York, NY - **Employment:** full-time - **Work type:** remote - **Posted:** 2023-11-14 - **Last confirmed live:** 2026-09-10 - **Apply:** https://jobs.ashbyhq.com/hang/c497f91c-9495-45ec-b4d5-8c76a9ef62e2 ## Job description Hang is building the future of loyalty for brands. [Hang](https://www.hang.xyz/) 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 ## About Hang ## Company Overview - **One-liner**: Hang provides an autonomous marketing platform that uses AI to power personalized loyalty programs, customer data unification, and gamified brand experiences. - **Entity Type**: Private (Series A) - **Headquarters**: New York, New York, United States - **Founded**: 2021 - **Founders**: Matt Smolin (CEO), Chad Fox, Brian Bendett ## Core Business - **Primary industry**: Loyalty Software / Marketing Technology (MarTech) - **Target customers**: B2B; mid-market to enterprise brands in food & beverage, retail, hospitality, eCommerce, and entertainment - **Mission or purpose statement**: To provide an autonomous marketing system that uses AI to personalize customer experiences and build brand loyalty. ## Products & Services - **Hang Autonomous Marketing Platform**: An AI-powered platform that unifies customer data (CDP), generates personalized offers and segments, and creates gamified, immersive loyalty experiences (e.g., quests, minigames, leaderboards, referrals). It integrates with major POS and CRM systems. - **Hang Copilot**: An AI assistant for marketers that enables text-to-analytics, auto-generated customer segments, and AI-driven offer creation. ## Market Standing - **Valuation/Market Cap**: Not publicly disclosed - **Key Metric**: Total Funding of $16M (Series A, July 2022) - **Notable Investors/Partners**: Paradigm (lead), Tiger Global, Howard Schultz (former Starbucks CEO), Kevin Durant, Mr. Beast, and founders of Warby Parker, Allbirds, and Bombas. Partners include Ulta Beauty, Budweiser, Flipkart, Cinemark, ASICS, and numerous restaurant chains (Boba Guys, Just Salad, etc.). - **Growth Signals**: Headcount of ~57 (as of Jan 2026), up from ~11 in 2024. High-profile client wins like Ulta Beauty (GlamXplorer program with 86% weekly return rate). Named to The Lead's Leading 100 list in 2024. Expanding AI capabilities with "Hang Copilot." ## Competitive Advantages - **AI-First Personalization**: Uses AI agents to unify customer data and generate personalized offers and segments, moving beyond traditional rules-based loyalty. - **Gamification Engine**: Proven ability to drive high engagement (e.g., Ulta Beauty's 86% weekly return rate) through minigames, quests, and social features. - **Omnichannel Integration**: Deep integrations with major POS, CRM, and social media platforms, allowing brands to engage customers across all touchpoints. - **High-Profile Backing**: Backed by top-tier investors (Paradigm, Tiger Global) and celebrity angels, signaling strong market confidence. ## Strategic Focus - **AI-First Product Development**: Deepening AI capabilities with tools like Copilot for marketers and AI agents for data unification and offer generation. - **Expansion in Restaurant & Retail**: Targeting the restaurant and retail verticals with specific solutions (e.g., AI Loyalty, AI CDP, AI Offers). - **Partner Ecosystem Growth**: Expanding its integrator network (e.g., partnership with Qu) to reach more brands. ## Why Work Here - **Culture**: Described as a fast-paced, innovative startup environment focused on redefining customer loyalty with cutting-edge AI. - **Work Policy**: In-office or remote; HQ is in New York, NY. The company has a physical office presence. - **Team**: Small but growing team (~57 employees) with a strong technical and product focus. Notable alumni from companies like Microsoft, Meta, and Nutanix. - **Perks**: Opportunity to work on a high-impact product with major global brands (Ulta Beauty, Budweiser) and solve complex data and AI challenges. ## Sources 1. [hang.com](https://hang.com/) 2. [jobs.ashbyhq.com](https://jobs.ashbyhq.com/hang) 3. [builtin.com](https://builtin.com/company/hang) 4. [tracxn.com](https://tracxn.com/d/companies/hang/__NrUmEMwSWDpo0_lfhWh06ICDUdvgKp5oRkEfHdSH12k) 5. [linkedin.com](https://www.linkedin.com/company/hang-cx) ## Other roles at Hang - [Business Operations & Strategy](https://feeny.ai/job/business-operations-strategy-hang-new-york-5me2tfjna1md) — New York, NY - [Product Strategy](https://feeny.ai/job/product-strategy-hang-new-york-5yyz66d0qstp) — New York, NY - [Senior Product Designer](https://feeny.ai/job/senior-product-designer-hang-new-york-5vzw39dh9shy) — New York, NY - [Machine Learning Engineer](https://feeny.ai/job/machine-learning-engineer-hang-new-york-3cxmgrv7ajh7) — New York, NY - [Front End Software Engineer (React/NextJS)](https://feeny.ai/job/front-end-software-engineer-react-nextjs-hang-new-york-t1r4rkr8wrn9) — New York, NY - [Data Scientist](https://feeny.ai/job/data-scientist-moonpig-london-snyv8sk5y734) — London, United Kingdom - [Data Scientist](https://feeny.ai/job/data-scientist-siteminder-pune-sbsqk7vby9be) — Pune, India - [Data Scientist](https://feeny.ai/job/data-scientist-platform-science-brazil-qbe9ryqqenny) — Brazil - [Data Scientist](https://feeny.ai/job/data-scientist-lyft-seattle-q264zy62f5ah) — Seattle, WA - [Data Scientist](https://feeny.ai/job/data-scientist-funding-circle-london-z7stq48ttw59) — London, United Kingdom