Varo Bank
Sr. Data Scientist, Machine Learning
Varo Bank, San Francisco, California, United States, 94199
Overview
Base pay range: $150,000.00/yr - $200,000.00/yr
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.
About The Role Varo represents a new generation of fintech built on technology and innovation to empower consumers. We serve millions of Americans with our mobile app to make digital banking easy, convenient, and personalized. As a Senior Data Scientist (Machine Learning), you’ll develop innovative models that affect millions of users in the fintech space. You’ll work with experienced Machine Learning Scientists and collaborate with peers on science problems in fraud detection, risk modeling, personalization, operations, and causal inference.
About the Data Science Team Varo’s Data Science Team develops machine learning models that help determine access to funds, protect customers from fraud, and transform the in-app experience with real-time recommendations. Data science is front and center here, with a hyper-growth focus on impactful 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’re excited to work with an impressive team of data professionals who collaborate and challenge each other, apply now!
What you'll be doing
Develop production-grade ML algorithms, such as fraud detection, recommender systems, dynamic credit risk models, and large-scale causal inference models, plus monitoring and analysis of their performance
Leverage large data sets from multiple sources and use modern modeling techniques (tree-based methods, neural networks, reinforcement learning) to improve customer experiences, acquisition, underwriting, and other business outcomes
Collaborate with stakeholders across the organization to identify opportunities for data-driven decisions or product improvements using ML
Work with the engineering team to deploy models and monitor outcomes
You’ll bring the following required skills and experiences
An advanced degree in a quantitative field (computer science, engineering, statistics, operations research, economics, etc.)
4+ years of experience as a Data Scientist, Machine Learning Scientist, or Research Scientist as an individual contributor
Experience applying a wide range of statistical techniques to large data sets and understanding their real-world advantages and drawbacks
Experience using Python for analysis, modeling, and visualization (numpy, pandas, scikit-learn, nltk, matplotlib, etc.)
Ability to thrive in a fast-paced environment and a strong bias for action with good teamwork
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 and are excited about the opportunity, 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 aim to address financial inclusion and opportunity for all by empowering everyone with products, insights, and support to get ahead.
We are growing quickly in our hub locations of San Francisco, Salt Lake City, and Charlotte, with colleagues across the country. We have been recognized among Fast Company’s Most Innovative Companies, Forbes’ Fintech 50, and earned a spot on Inc. 5000’s list of fastest-growing companies.
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 on social media: Facebook, Instagram, LinkedIn.
Varo is an equal opportunity employer. We embrace diversity and 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.
Beware of fraudulent job postings. Varowill never ask for payment to process documents or visa applications, or to pay costs. If you suspect a phony offer, email careers@varomoney.com with the pertinent information and contact details.
CCPA Notice at Collection for California Employees and Applicants: https://www.varomoney.com/privacy-legal/
For cash compensation, we set standard ranges for all US-based roles based on function, level, and geographic location, benchmarked against similar-stage growth companies. The salary range for this role is $150,000 - $200,000. Final offers are determined by multiple factors including candidate experience and expertise.
#J-18808-Ljbffr
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.
About The Role Varo represents a new generation of fintech built on technology and innovation to empower consumers. We serve millions of Americans with our mobile app to make digital banking easy, convenient, and personalized. As a Senior Data Scientist (Machine Learning), you’ll develop innovative models that affect millions of users in the fintech space. You’ll work with experienced Machine Learning Scientists and collaborate with peers on science problems in fraud detection, risk modeling, personalization, operations, and causal inference.
About the Data Science Team Varo’s Data Science Team develops machine learning models that help determine access to funds, protect customers from fraud, and transform the in-app experience with real-time recommendations. Data science is front and center here, with a hyper-growth focus on impactful 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’re excited to work with an impressive team of data professionals who collaborate and challenge each other, apply now!
What you'll be doing
Develop production-grade ML algorithms, such as fraud detection, recommender systems, dynamic credit risk models, and large-scale causal inference models, plus monitoring and analysis of their performance
Leverage large data sets from multiple sources and use modern modeling techniques (tree-based methods, neural networks, reinforcement learning) to improve customer experiences, acquisition, underwriting, and other business outcomes
Collaborate with stakeholders across the organization to identify opportunities for data-driven decisions or product improvements using ML
Work with the engineering team to deploy models and monitor outcomes
You’ll bring the following required skills and experiences
An advanced degree in a quantitative field (computer science, engineering, statistics, operations research, economics, etc.)
4+ years of experience as a Data Scientist, Machine Learning Scientist, or Research Scientist as an individual contributor
Experience applying a wide range of statistical techniques to large data sets and understanding their real-world advantages and drawbacks
Experience using Python for analysis, modeling, and visualization (numpy, pandas, scikit-learn, nltk, matplotlib, etc.)
Ability to thrive in a fast-paced environment and a strong bias for action with good teamwork
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 and are excited about the opportunity, 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 aim to address financial inclusion and opportunity for all by empowering everyone with products, insights, and support to get ahead.
We are growing quickly in our hub locations of San Francisco, Salt Lake City, and Charlotte, with colleagues across the country. We have been recognized among Fast Company’s Most Innovative Companies, Forbes’ Fintech 50, and earned a spot on Inc. 5000’s list of fastest-growing companies.
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 on social media: Facebook, Instagram, LinkedIn.
Varo is an equal opportunity employer. We embrace diversity and 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.
Beware of fraudulent job postings. Varowill never ask for payment to process documents or visa applications, or to pay costs. If you suspect a phony offer, email careers@varomoney.com with the pertinent information and contact details.
CCPA Notice at Collection for California Employees and Applicants: https://www.varomoney.com/privacy-legal/
For cash compensation, we set standard ranges for all US-based roles based on function, level, and geographic location, benchmarked against similar-stage growth companies. The salary range for this role is $150,000 - $200,000. Final offers are determined by multiple factors including candidate experience and expertise.
#J-18808-Ljbffr