Senior Software Engineer (Data Science Focus)
Atlas San Francisco, California, United States
Financial Services · 11-50 employees
About the role
You will own the underwriting processes for credit products by leveraging quantitative analysis and data mining. Additionally, you will partner with product and engineering teams to execute experiments and drive data-informed decision-making.
What they look for
Requirements
Candidates must have at least 5 years of professional experience in data science or software engineering with strong technical aptitude. Proficiency in Python and data querying languages, along with a proven ability to collaborate across functions, is required.
Benefits
Full description
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
