Senior Data Scientist Machine Learning at Varomoney

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Varomoney

Senior Data Scientist Machine Learning

us flag
United States

Hybrid

Full Time

#Data

#Data Science

#Machine Learning

#Fraud Detection

#Risk Modeling

#Python

#Neural Networks

#Reinforcement Learning

#Sagemaker

#Spark

#TensorFlow

#PyTorch

Varomoney is looking for a Senior Data Scientist Machine Learning

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Varo is redefining the banking experience as an all-digital, mission-driven institution that is fully FDIC-insured. We built our bank to support the way modern Americans live, focusing on financial inclusion and accessibility for everyone. Since becoming the first consumer fintech to receive a national bank charter, we have been recognized as one of the fastest-growing companies in the country. We are looking for a Senior Data Scientist to join our expert team, where data science is not just a support function but a core driver of our innovation and growth.

What you'll be doing

  • Design and implement production-grade machine learning algorithms, including systems for fraud detection, dynamic credit risk modeling, and large-scale causal inference.
  • Utilize diverse, large-scale datasets to optimize customer acquisition, underwriting, and overall user experience through advanced techniques like neural networks and reinforcement learning.
  • Partner with stakeholders across the company to identify high-impact opportunities where machine learning can improve our product suite and guide business strategy.

What you'll bring

To succeed in this role, you should have a strong background in quantitative analysis and a passion for solving complex problems in a fast-paced environment. We are looking for the following qualifications:

  • An advanced degree in a quantitative field such as statistics, computer science, economics, or engineering.
  • At least 4 years of professional experience as a Data Scientist or Machine Learning Scientist, including relevant research experience.
  • Deep proficiency in Python for modeling, analysis, and visualization.
  • Experience applying a variety of statistical techniques to large datasets while understanding the practical trade-offs of each approach.
  • A collaborative mindset and a strong bias for action.
  • Bonus points for familiarity with tools such as Sagemaker, Spark, TensorFlow, Keras, and PyTorch.

What you'll get

We are committed to supporting our team members through a flexible and inclusive work environment. As part of our team, you will receive:

  • Hybrid work arrangements to balance your professional and personal life.
  • The opportunity to work with a world-class team of PhDs and data experts in a collegial, high-growth atmosphere.
  • The chance to solve impactful, real-world problems that directly influence the financial lives of millions of customers.
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