Atlas Logo

Atlas

Software Engineer (Data Science Focus)

Posted Yesterday
Be an Early Applicant
Hybrid
San Francisco, CA, USA
120K-180K Annually
Mid level
Hybrid
San Francisco, CA, USA
120K-180K Annually
Mid level
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.
The summary above was generated by AI

‍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

‍

Similar Jobs

2 Minutes Ago
In-Office or Remote
USA
163K-272K Annually
Senior level
163K-272K Annually
Senior level
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
Leads product strategy, roadmap, lifecycle ownership, adoption, and measurable outcomes for a greenfield enterprise AI platform. Defines platform boundaries, governance controls, evaluation, registration, and cost-tracking capabilities while translating evolving risk, privacy, security, and GxP requirements into usable product features. Partners with engineering, design, legal, compliance, risk, security, and global agent-building teams to prioritize investments, guide delivery, communicate direction, and drive platform adoption.
Top Skills: AgileAIAi AgentsAi GovernanceGxpLeanModel Evaluation
7 Minutes Ago
Remote or Hybrid
USA
350K-375K Annually
Expert/Leader
350K-375K Annually
Expert/Leader
Cloud • Computer Vision • Information Technology • Sales • Security • Cybersecurity
Define and drive CrowdStrike’s company-wide AI and agentic architecture. Design production AI systems, shared platforms, lifecycle workflows, and developer tooling across products and business units. Improve performance, resilience, scalability, observability, governance, security, and auditability across cloud and edge environments. Build reference implementations, guide architectural decisions, resolve complex engineering challenges, mentor technical leaders, and align senior stakeholders around AI strategy and implementation.
Top Skills: Accelerated ComputingAgentic AiAIAPIsCloud ComputingDistributed SystemsEdge ComputingGenerative AiLinuxModel Inference ServingNetworkingRetrieval
59 Minutes Ago
In-Office
San Jose, CA, USA
177K-387K Hourly
Mid level
177K-387K Hourly
Mid level
Artificial Intelligence • Hardware • Information Technology • Machine Learning
Lead technical engagements with customers, define solutions across memory and systems, and ensure customer needs are reflected in product decisions.
Top Skills: Computer EngineeringComputer ScienceDramElectrical EngineeringMemory Systems

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account