Director of Data Science

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15 days old

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Varo is an entirely new kind of bank. All digital, mission-driven, FDIC insured and designed for the way our customers live their lives. A bank for all of us.

About The Role
You will lead Varo’s Data Science team under the umbrella of Varo’s Data organization, spanning Data Analytics, Data Science, Data Product Management, Data Engineering and ML Engineering. Collectively our objective is to enable and catalyze decision making across Varo’s key verticals (acquisition / engagement, fraud, lending, operations) using data. The Data Science team works closely with business stakeholders to understand the commercial problems to be addressed, deploys appropriate machine learning and causal inference methodology to develop solutions, and partners with engineering stakeholders to deploy those solutions. If you are interested in working with an impressive team of Data pros who collaborate and challenge each other, and want to solve interesting problems to propel the company’s growth, apply now!

What you'll be doing

  • Be responsible for owning and driving Varo’s Data Science efforts (roadmap planning, stakeholder engagement, delivery) across artificial intelligence, machine learning, and causal inference
  • Develop custom models to drive commercial outcomes spanning all of Varo’s verticals, as well as, processes for monitoring and analyzing their performance
  • Assess the effectiveness and accuracy of new data sources and data gathering techniques
  • Understand and apply proper risk framework to your analysis and modeling
  • Work with stakeholders throughout the organization to identify opportunities for leveraging data to drive business decisions
  • Collaborate cross functionally to implement models and monitor outcomes
  • You'll bring the following required skills and experiences

  • 8+ years of experience in Data Science, Applied Science or Software Engineering as an individual contributor. You will need to flex in your role across IC and manager capabilities.
  • An advanced degree in a quantitative field - computer science, engineering, statistics, operations research, economics, etc.
  • Demonstrated impact and leadership in at least one area (acquisition / engagement, fraud, lending, operations) combined with exposure to others
  • Experienced in using Python for analysis and modeling, applying a wider range of statistical techniques to large data sets
  • Prior experience with Generative Artificial Intelligence is nice to have
  • We recognize not everyone will have all of these requirements. If you meet most of the criteria above and you’re excited about the opportunity and willing to learn, we’d love to hear from you.

    About Varo

    Varo launched in 2017 with the vision to bring the best of fintech into the regulated banking system. We’re a new kind of bank – all digital, mission-driven, FDIC-insured, and designed around the modern American consumer. 

    As the first consumer fintech to be granted a national bank charter in 2020, we make financial inclusion and opportunity for all a reality by empowering everyone with the products, insights, and support they need to get ahead. Through our core product offerings and suite of customer-first features, we aim to address a broad range of consumer needs while profitably serving underserved communities that have been historically excluded from the traditional financial system.

    We are growing quickly in our hub locations of San Francisco, Salt Lake City, and Charlotte along with colleagues located across the country. We have been recognized among Fast Company’s Most Innovative Companies, Forbes’ Fintech 50, and earned the No. 7 spot on Inc. 5000’s list of fastest-growing companies across the country.

    Varo. A bank for all of us.

    Our Core Values
    - Customers First
    - Take Ownership
    - Respect
    - Stay Curious
    - Make it Better


    Varo is an equal opportunity employer. Varo embraces diversity and we are committed to building teams that represent a variety of backgrounds, perspectives, and skills. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

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