What are the responsibilities and job description for the Data Scientist position at Hang Defunct?
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
