Senior Software Engineer (Data Science Focus)
Summary
Senior Software Engineer with a data science focus who owns underwriting for Atlas's credit card products — designing underwriting processes, running experiments, and mentoring teammates. Day-to-day work centers on quantitative analysis and data mining with Python, in a hybrid (2 days/week) San Francisco role at a consumer fintech.
About Atlas
At Atlas, we believe the financial system should work for everyone. We’re building a modern rewards credit card and banking platform designed to grow with our members - helping them build credit on autopilot with 0% APR, no late fees, and premium rewards. By replacing harsh penalties with empathy and smart technology, we are making stress-free financial progress accessible to millions.
We are a product- and technology-obsessed team with roots at Facebook, Amazon, Robinhood, and Uber. If you’re ready to build a high-impact product that democratizes opportunity and accelerates financial empowerment, join us.
About the role
As a Senior Software Engineer (Data Science Focus), you’ll partner with product and engineering in shaping the strategy for Atlas. You will own our underwriting from both an engineering and data perspective for our credit products.
This is a hybrid role (2 days/week) based in San Francisco, CA.
Responsibilities
Design and implement Atlas’ underwriting processes
Applying expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how Atlas users interact with our products
Partner with Product and Engineering teams to solve problems and identify trends and opportunities
Design, plan, execute and analyze experiments to evaluate the impact of product changes.
Mentor others as needed to uplift the team’s capacity, and to democratize data knowledge and data insights within the company.
Requirements:
Minimum 5 years of professional Data Science / Software engineering experience with a strong technological aptitude
Ownership mindset with a focus on fast-paced, impactful work
Proven to effectively collaborate across variety of technical and non-technical functions to drive towards common product goals
Proficiency in quantitative analysis geared towards drawing actionable insights from complex datasets
Experience with data querying languages and scripting languages (e.g. Python)
Previous experience mentoring, such as new-hire buddies, interns, or technical leads.
Interest in contributing to the company's growth beyond daily responsibilities.
Benefits and perks:
Competitive salary and benefits with market leading equity
Remote friendly culture with flexible work hours and location
Full healthcare, 401K and competitive benefits
Get to work with a great team and see the impact of your work everyday
Skills
As published by ashby · 5 questions
Basics
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- Are you currently legally authorized to work in the US?
- Will you now, or in the future, require sponsorship (i.e. H-1B visa, etc.) to legally work in the US?
- Do you acknowledge that this is a hybrid role based in San Francisco and you will be required to come into the office two days a week?
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