Senior Data Scientist New San Francisco

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. Were 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.

About the Role

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.

Qualifications

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

Nice to Have

Enthusiasm and comfort with using AI in analytics or for fintech problems

Experience with Machine Learning especially in a production environment

Base Range

$226,000 - $254,000 USD

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.

This is a hybrid position and requires being in the San Francisco, CA office three times a week.

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