Point is a technology and design company that transforms everyday spending into a delightful and rewarding experience. We’re re-thinking the payment experience with an emphasis on transparency, delight, and personalization.
With the best benefits of both debit and credit, Point Card earns you points on every purchase redeemable for instant cash-back. Point App works side by side with Point Card to create an elegant, easy-to-use experience.
We recently closed our $46.5 million Series B funding round. To learn more, see TechCrunch's coverage here.
Backed by top investors like Peter Thiel (Valar Ventures) and Y Combinator, we’re well-funded and ready to make a positive impact on people’s daily lives.
We’re looking for a Product Data Scientist to join our specialized team. We have the vision and resources, and need your talent and skills.
Who we're looking for
Point is looking for Product Data Scientist to join our focused, growing, and passionate team. We want data scientists who approach problems from first principles, are comfortable diving into large datasets to uncover actionable insights, enjoy visualizing complex insights for mass consumption, and thrive with a fast-paced product iteration cycle.
What we'll build together
As the first Product Data Scientist at Point, you'll help us improve & optimize our core card offering, test improvements, and surface key insights to leadership.
You'll perform deep analytics on large datasets, build models to describe and predict member behavior, and produce insights that shape key decisions & investment areas.
3+ years of analytics experience & data science or equivalent applying quantitative, statistical & machine learning technique to practical product problems
Fluency with data analysis programming languages (Python / R), SQL, & data visualization tools
Experience analyzing and conducting hypothesis driven experimentation and A/B testing
Comfortable translating ambiguous problems & requirements into data-driven analyses
Strong verbal and written skills to explain technical analysis to non-technical partners
Fintech or cryptocurrency experience, especially at a venture-backed startup
Experience using orchestration tools (like Airflow) and dashboarding tools (Metabase, Mode, etc.)
Familiarity with data warehouse design, dimensional modeling, and ETL best practices
Join a fast-growing brand that is building thoughtful spending products.
Competitive salary, stock options, and 401K.
Full health benefits (medical, dental, and vision insurance).
Unlimited vacation policy, paid company holidays, and WFH flexible. We shut down the office at the end of the year for a winter holiday.
Free Point Card membership + 10,000 ($100) monthly points.
Monthly stipends on your Point Card to use for lunch, commuting, and other essentials.