Staff Data Scientist (Causal Inference)

Company:
Location: Remote

*** Mention DataYoshi when applying ***

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 Data Science Team
Varo’s Data Science Team builds algorithms that make it easier for the right people to get access to funds, help protect customers from fraudsters, and transform the in-app banking experience with real-time recommendations. Unlike some organizations where data takes a support role, here at Varo data science is front and center. Since we are in hyper-growth mode, you will get to build data science systems from scratch from day one. We rely on advanced techniques in machine learning, cloud platforms, and big data and are primarily PhDs and ex-academics with a collegial work atmosphere. 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!

As Staff Data Scientist (Causal Inference) you’ll...

    • Develop offline causal inference models to drive business decision-making. Techniques may include difference-in-differences, synthetic controls, propensity score modeling, matching techniques, regression discontinuity design, etc.
    • Design experiments that provide insights to the marketing and product teams as well as measure & optimize the online performance of machine learning models. Techniques may include standard A/B testing, clustered experiments, switchback experiments, sequential testing, and multi-armed bandit.
    • Work with stakeholders throughout the organization to identify opportunities for leveraging data to better drive business decisions
    • Collaborate cross-functionally with the engineering team to gather data and engineer new features and metrics
    • Have the opportunity to mentor junior data scientists

You're a person who...

    • Is passionate about building end-to-end causal inference models that help the business make better data-driven decisions
    • Is curious and loves learning new and cutting-edge techniques coming out of industry and academia
    • Strong problem-solving skills with an emphasis on translating real-life problems into a concrete model development strategy. Blend academic rigor with a sense of pragmatism for rapidly prototyping and delivering solutions.
    • Loves building things from the ground up

You have the following required experience...

    • An advanced degree in a quantitative field that offers training in causal inference - statistics, economics, biostatistics, etc.
    • 6+ years of experience as a Data Scientist, Economist, or Statistician as an individual contributor, including relevant experience from your PhD research
    • Experience applying a wide range of statistical techniques to large data sets, and understanding their real-world advantages/drawbacks
    • Experienced in using Python for analysis and modeling (pandas, numpy, scikit, scipy, statsmodels, matplotlib, etc.)
    • Ability to thrive in a fast-paced environment
    • Experience in marketing optimization nice to have
About Varo
We're on a mission to bring financial inclusion and opportunity to all hard-working Americans. Through our mobile app, we offer premium bank accounts that have no minimum balance requirement or monthly account fees, high-interest savings accounts, short-term lending, and solutions to help customers stretch their paycheck, build credit and start saving. Our tech-first products are designed to make money work for everyone and help customers and communities build greater financial resiliency.

Varo is distinct from other fintechs: we've made history as the first and only consumer fintech to be granted a full national bank charter by the Office of the Comptroller of the Currency (OCC).

Varo Bank represents the evolution of a new generation of banks that are born from innovation and built on technology to empower consumers and businesses.

Our team combines the best of both consumer tech and banking, and we’re wildly passionate about helping our customers. Our teams are based in San Francisco and Salt Lake City. Privately held, we’ve raised over $482M to date, from leading institutional investors and strategic partners including Warburg Pincus, The Rise Fund, Gallatin Point Capital, Harbourvest Partners, Progressive Insurance, and Russell Westbrook Enterprises.

Varo is entrepreneurial, collaborative, enthusiastic, customer-oriented, fast-paced, and multicultural. This is an open and relatively flat organization that puts an emphasis on collaboration, sharing ideas and information. For a relatively early-stage company, Varo is grounded in a strong set of values and takes pride in the diversity of its employees.

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.

*** Mention DataYoshi when applying ***

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