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Hang

Data Scientist

Remote, New YorkRemote · United States
FullTime · Engineering
POSTED 14 NOV 2023VERIFIED 1D AGO
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Role
1090 days opentrue age
Posted 14 Nov 2023
Pay
$109k–$197kno pay posted
Market p25–p75
$109k–$197k
New York · n=60 · 365d to 6 Nov
CompanyHang →
6open roles
Opened · 30d
+0
Closed · 30d
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30d window
Market
3,496open · Analytics / Data science
Opened · 7d
+1936% of open
All analytics / data science
7,753open
All tracked boards · live 9 Nov · n=3,496
Python

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

Source · HangFirst seen 4 NovOriginal ↗