Sr. Data Scientist, Machine Learning

About the position

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. 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!

Responsibilities

• 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

Requirements

• 4+ 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

Nice-to-haves

• Familiarity with Sagemaker, Spark, TensorFlow, Keras, and PyTorch

Benefits

• Bonus
• Equity
• Competitive benefits