Description:

Varo is a digital, mission-driven bank that is FDIC insured and designed for modern consumers.
The Data Science Team at Varo focuses on developing Machine Learning models to enhance customer access to funds, protect against fraud, and improve in-app experiences with real-time recommendations.
The role involves leading Machine Learning efforts in fraud detection, developing models that calculate fraud risk scores, and predicting customer transaction behavior.
Responsibilities include driving the design, development, optimization, and productionization of ML-based fraud models, enabling broader access to product features, collaborating with stakeholders, and mentoring junior team members.

Requirements:

Candidates must have 5+ years of experience in developing Machine Learning applications for fraud or risk applications.
A demonstrated experience or interest in building fraud detection machine learning models is required.
A Ph.D. or equivalent in Computer Science, Statistics, or a related field is necessary.
Candidates should possess a strong bias for action and be team players.
The ability to thrive in a fast-paced environment is essential.
Familiarity with Sagemaker, Spark, TensorFlow, Keras, and PyTorch is preferred but not mandatory.

The salary range for this position is between $180,000 and $210,000 per year, based on function, level, and geographic location.
Varo is committed to diversity and equal opportunity in employment, ensuring all applicants are considered without discrimination.
The company promotes a collaborative and innovative work environment, encouraging team members to challenge each other and grow together.