Data Science and Analytics Lead (Product)

Location
San Francisco
Workplace
Hybrid

About this 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 Data Science and Analytics Lead (Product), you’ll partner with product and engineering leaders in shaping the strategy for Atlas. Own the Data science/ growth marketing function.

Responsibilities:

  • 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

  • Develop data pipelines that convert noisy core datasets into powerful signals of user behavior

  • Partner with Product and Engineering teams to solve problems and identify trends and opportunities

  • Design and implement dashboards and reports that track key business metrics and provide actionable insights.

  • 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 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.

  • Ability to work 2 days per week from our SF office

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

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Top Benefits

  • Competitive salary
  • Market leading equity
  • Full healthcare
  • 401k