Lead Machine Learning Scientist, Fraud

Key Skills

AWS Sagemaker, Data science techniques, Keras software library, Machine learning techniques, PyTorch, SPARK Programming, Statistics, TensorFlow

Job Description

About The Data Science Team

Varo’s Data Science Team develops Machine Learning models that make it easier for the right people to get access to funds, help protect customers from fraudsters, and transform the in-app 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 work on the most impactful data science problems from day one. We rely on advanced techniques in machine learning, cloud platforms, and data technology. We’re a team of 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!

What you'll be doing

• Lead efforts within the organization to drive the design, development, optimization, and productionization of ML-based fraud models
• Enable customers to have broader access to risky product features by designing a fraud system that balances precision of detection with customer experience and growth
• Work with stakeholders in the fraud organization to identify opportunities for driving business value with ML
• Collaborate cross-functionally with the engineering team to deploy models and monitor outcomes
• Guide and mentor junior machine learning scientists and engineers

You’ll bring the following required skills and experiences

• 5+ years of expertise in developing ML industry applications for fraud or risk applications
• Demonstrated experience and/or interest in building fraud detection machine learning models
• Ph.D. or equivalent in Computer Science, Statistics, or related field
• Strong bias for action and team player
• Ability to thrive in a fast-paced environment
• Preferred: Familiarity with Sagemaker, Spark, TensorFlow, Keras, and PyTorch

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

Learn more about Varo by following us:

Facebook - https://www.facebook.com/varomoney

Instagram - www.instagram.com/varobank

LinkedIn - https://www.linkedin.com/company/varobank

Twitter - https://twitter.com/varobank

Engineering Blog - https://medium.com/engineering-varo

SoundCloud - https://soundcloud.com/varobank

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.