Software Engineer (Data Science Focus)

Posted Yesterday
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San Francisco, CA, USA
Hybrid
120K-180K Annually
Mid level
Fintech • Payments • Financial Services
The Role
Design and implement credit underwriting processes while applying quantitative analysis, data mining, and experimentation to understand user behavior and product impact. Collaborate with Product and Engineering to identify trends, solve problems, and guide strategy. Mentor teammates and promote data-driven decision-making across the company.
Summary Generated by Built In

‍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 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 2-7 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 Required

  • 2-7 years of professional data science or software engineering experience
  • Strong technological aptitude
  • Ownership mindset and ability to work in a fast-paced, impactful environment
  • Ability to collaborate effectively with technical and non-technical teams
  • Proficiency in quantitative analysis and drawing actionable insights from complex datasets
  • Experience with data querying and scripting languages, such as Python
  • Previous mentoring experience, such as supporting new hires, interns, or technical leads
  • Interest in contributing to company growth beyond daily responsibilities
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The Company
46 Employees
Year Founded: 2022

What We Do

Atlas is a financial technology company building a modern rewards credit card and banking platform with FDIC-insured bank partners. It focuses on people underserved by the financial system, offering access to credit and rewards while helping members build credit through a cash-flow-based approach. Its membership bundles card and banking features with savings automation, credit monitoring, and subscription management, aiming to make financial progress less stressful and more accessible.

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