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Fintech, Financial Services

Data Scientist

San Francisco, California, United StatesHybridFull Time$160,000–$260,000 /yrPosted 2 months agoVisa sponsorship available

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Role summary

Kikoff, a FinTech unicorn, is seeking a Data Scientist to leverage AI and data to enhance financial security for consumers. This role involves close collaboration with Product, Engineering, Data Engineering, Marketing, and Operations teams. The Data Scientist will use technical skills, analytical thinking, and product insight to identify and address product development challenges, shape product strategy, quantify opportunities, and communicate data-driven stories to stakeholders. The position requires expertise in SQL, Python, statistical analysis, experimentation design, and common analytical techniques, with a minimum of two years of analytics experience. The role is hybrid, based in San Francisco, CA.

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.

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

Base Range

$160,000 - $260,000 USD

🏥 Medical, dental, and vision coverage - Kikoff covers the full cost of health insurance for the employee!

📈 Meaningful equity in the form of RSU's

🏝️ 20 days of paid time off per year — we encourage taking real time away to recharge and do your best work

💵 401(k) plan with a generous employer match to help you invest in your future

💰 Competitive pay based on experience consisting of base + equity + benefits

Location: Hybrid, 3 days onsite in San Francisco, CA.

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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