Taro Logo

Sr. Data Scientist, Machine Learning

A digital-first, mission-driven, FDIC-insured bank launched in 2017, focused on bringing fintech innovation to regulated banking.
$130,000 - $180,000
Data
Senior Software Engineer
Hybrid
501 - 1,000 Employees
4+ years of experience
Finance · AI

Job Description

Varo Bank, a pioneering digital-first FDIC-insured bank, is seeking a Senior Data Scientist to join their innovative team. This role presents an exceptional opportunity to impact millions of users in the fintech space through developing sophisticated machine learning models. As part of Varo's Data Science Team, you'll be at the forefront of creating solutions for fraud detection, risk modeling, personalization, and causal inference.

The position offers unique advantages as data science is central to Varo's operations, not just a support function. You'll join a team of PhDs and ex-academics in a collegial atmosphere, working on high-impact projects from day one. The role involves developing production-grade ML algorithms, working with large datasets, and implementing modern modeling techniques to optimize customer experiences and business outcomes.

Varo Bank, launched in 2017, became the first consumer fintech to receive a national bank charter in 2020. The company's mission focuses on financial inclusion and opportunity for all, particularly serving underserved communities historically excluded from traditional banking. With hub locations in San Francisco, Salt Lake City, and Charlotte, Varo has been recognized among Fast Company's Most Innovative Companies and Forbes' Fintech 50.

The role requires an advanced degree in a quantitative field and 4+ years of relevant experience. You'll need strong Python skills and experience with statistical techniques applied to large datasets. The company offers a competitive salary range of $130,000 - $180,000 and embraces a hybrid work model. This is an ideal opportunity for someone passionate about using data science to transform financial services while working with a talented team in a fast-growing environment.

Last updated 2 days ago

Responsibilities For Sr. Data Scientist, Machine Learning

  • Develop production-grade ML algorithms for fraud detection, recommender systems, credit risk models, and causal inference models
  • Leverage large data sets using modern modeling techniques
  • Work with stakeholders to identify ML opportunities for business decisions
  • Collaborate with engineering team to deploy and monitor models
  • Monitor and analyze model performance

Requirements For Sr. Data Scientist, Machine Learning

Python
  • Advanced degree in a quantitative field (computer science, engineering, statistics, operations research, economics)
  • 4+ years of experience as a Data Scientist, Machine Learning Scientist, or Research Scientist
  • Experience applying statistical techniques to large data sets
  • Experience using Python for analysis, modeling, and visualization
  • Ability to thrive in a fast-paced environment
  • Strong bias for action and team player
  • Preferred: Familiarity with Sagemaker, Spark, TensorFlow, Keras, and PyTorch