Similar Jobs
.png)
Kikoff: The Fintech Powering Financial Security at Scale
Kikoff is a profitable, pre-IPO fintech company on a mission to empower everyone to achieve financial security. With record revenue growth in 2025 and a unicorn valuation, we've built a suite of products that help millions of people build credit, access liquidity, and save money.
We're scaling fast. Join us if you want to build something meaningful and help millions of people move forward financially.
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.
As a Senior Data Scientist at Kikoff, you work closely with cross functional teams incl. Product, Engineering, Design, 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, identify new opportunities, set goals, quantify upcoming challenges, and ensure the products we build bring value to our customers.
- Measurement excellence: define what success means to our users and our business, build scalable framework to measure them.
- Technical ownership: develop hypotheses and employ a diverse toolkit of rigorous analytical approaches, causal inference / ML methodologies, and experimentation best practices to validate them.
- Communication and influence: convince and influence your partners by telling clear data stories.
- Bachelors’ or above in quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field
- A minimum of 5 years of work experience in analytics
- Experience leading data science for an ambiguous and fast-changing product or technical area, working with senior partners in leadership, product, engineering
- Expert knowledge of SQL and experience with Python
- Deep understanding of statistical analysis, experimentation design, common ML and causal inference techniques
- Excellent verbal and written communication skills
- A humble collaborative can-do attitude and bias to action
- Enthusiasm and comfort with using AI in analytics or for fintech problems
- Experience with Machine Learning especially in a production environment
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.
Please reference the following for more information.
Kikoff San Francisco, California, USA Office
We’re headquartered in the Financial District of San Francisco where public transit is just a short walk away at Embarcadero Station.
What you need to know about the San Francisco Tech Scene
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
