
Empowering credit building for a brighter financial future
Kikoff is a personal finance and credit building platform headquartered in the Financial District of San Francisco, CA. With $42.5 million in Series A funding, Kikoff aims to help Millennials and Gen Z build their credit scores through its signature product, which positively influences payment histo...
Kikoff provides comprehensive medical, dental, and vision coverage, fully paid by the company. Employees enjoy stock options and a generous unlimited ...
Kikoff's culture is centered around empowering individuals to build their financial health through accessible credit solutions. The company values inn...

Kikoff • San Francisco Office
Kikoff is hiring a Data Scientist to work closely with cross-functional teams to improve customer financial security through data-driven insights. You'll apply your expertise in SQL and Python, along with statistical analysis techniques, to shape product development and solve analytical challenges.
As a Data Scientist at Kikoff, you work closely with cross functional teams incl. Product, Engineering, Data Engineering, Marketing, Operation. By applying your technical skills, analytical mindset, and product intuition, you will help our customers improve their financial security. You will use data to identify and solve product development’s biggest challenges. Your responsibilities includes:
Product leadership: use data to shape product development, quantify new opportunities, set goals, identify upcoming challenges, and ensure the products we build bring value to our customers.
Analytics: develop hypotheses and employ a diverse toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.
Communication and influence: convince and influence your partners by telling clear data stories.
Qualifications
Bachelors’ or above in quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field
A minimum of 2 years of work experience in analytics
Expert knowledge of SQL and experience with Python
Deep understanding of statistical analysis, experimentation design, and common analytical techniques like regression, decision trees
Strong verbal and written communication skills
A humble collaborative can-do attitude and natural curiosity
Kikoff: A FinTech Unicorn Powering Financial Progress with AI
At Kikoff, our mission is to provide radically affordable financial tools to help consumers achieve financial security. We're a profitable, high growth FinTech unicorn serving millions of people, many of whom are building credit or navigating life paycheck to paycheck. With innovative technology and AI, we simplify credit building, reduce debt, and expand access to financial opportunities to those who need them the most. Founded in 2019, Kikoff is headquartered in San Francisco and backed by top-tier VC investors and NBA star Stephen Curry.
Why Kikoff:
This is a consumer fintech startup, and you will be working with serial entrepreneurs who have built strong consumer brands and innovative products. We value extreme ownership, clear communication, a strong sense of craftsmanship, and the desire to create lasting work and work relationships. Yes, you can build an exciting business AND have real-life real-customer impact.
Competitive pay based on experience
🏥 Medical, dental, and vision coverage - Kikoff covers the full cost of health insurance for the employee!
📈 Stock Options
🏝 Flexible vacation policy to help you recharge
💰 US salary range for this full-time position consists of base + equity + benefits
Location: Hybrid San Francisco, CA
Visa sponsorship available: Kikoff is willing to provide sponsorship for H1-B visas and U.S. green cards for exceptional talent.
Equal Employment Opportunity Statement
Kikoff Inc. is an equal opportunity employer. We are committed to complying with all federal, state, and local laws providing equal employment opportunities and considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.
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