Data Science and Analytics Lead (Product)

Data Science And Analytics Lead (Product)

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 12 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.

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

The easiest way to apply is to email us at View email address on click.appcast.io. Please send a short summary about yourself and a link to your linkedin profile.