Senior Software Engineer (Data Science Focus)
AtlasAbout the role
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.
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
Responsibilities
- Design and implement Atlas’ underwriting processes
- Apply expertise in quantitative analysis, data mining, and the presentation of data
- Partner with Product and Engineering teams to solve problems and identify trends
- Design, plan, execute and analyze experiments to evaluate product changes
- Mentor others to uplift the team’s capacity and democratize data knowledge
Qualifications
- Minimum 5 years of professional Data Science / Software engineering experience
- Ownership mindset with a focus on fast-paced, impactful work
- Proven collaboration across technical and non-technical functions
- Proficiency in quantitative analysis for actionable insights
- Experience with data querying and scripting languages (e.g. Python)
- Previous mentoring experience
Benefits
- Competitive salary and benefits with market leading equity
- Remote friendly culture with flexible work hours and location
- Full healthcare, 401K and competitive benefits
- Opportunity to work with a great team and see the impact of your work
Skills mentioned
About Atlas
Atlas is a spend management and lifestyle platform for high net worth individuals and families.
H-1B sponsorship history
Historical employer filing data was found for Atlas. The employer record includes 34 historical certified applications. This is employer-level history, not a guarantee that this role currently offers sponsorship.