Senior Software Engineer (Data Science Focus)

About Atlas 

At Atlas, our goal is to accelerate financial empowerment. We’re focussed on over 100M Americans who are underserved by the current financial system. By making it easier to access credit and premium card rewards, we believe we can make the system work better for everyone and unleash greater prosperity and productivity. We see a massive opportunity for impact though better products. We're off to a strong start and have been growing almost 100% a month since we launched 18 months ago.

We are a product and technology obsessed team with past experience at Facebook, Amazon and Goldman Sachs. We’re growing quickly as a team and business. Join us and help us build a modern credit card product built around digitized income, asset and liability data.

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

How to apply

The easiest way to apply is to email us directly. Please send a short summary about yourself and a link to your linkedin profile. 

Get started today

As fast as two minutes
0% APR with limits that grow with you
No income or credit history needed
Applying won't affect credit score

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