Sr. Data Scientist, Machine Learning (Fraud)
US Remote
Varo Bank
Get access to personal banking services including no monthly fee checking, high-yield savings, cash advances up to $250 and more with Varo Bank.
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 Data Science TeamVaro’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!
About the RoleVaro 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. At Varo, we believe the future of fraud detection in fintech lies with Machine Learning. We are innovating models that dynamically calculate fraud risk scores and predict customer transaction behavior. You’ll lead Machine Learning in Fraud at Varo, working on models that protect customers from fraudsters while growing Varo’s customer base and enabling product features to be more accessible to all. You will be responsible for developing the machine learning models that will underlie Varo’s fraud detection system. You will own the development and training of these models, as well as contribute to the design of architecture that serves the models.
We recognize not everyone will have all of these requirements. If you meet most of the criteria above and you’re excited about the opportunity and willing to learn, we’d love to hear from you!
About VaroVaro 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 make financial inclusion and opportunity for all a reality by empowering everyone with the products, insights, and support they need to get ahead. Through our core product offerings and suite of customer-first features, we aim to address a broad range of consumer needs while profitably serving underserved communities that have been historically excluded from the traditional financial system.
We are growing quickly in our hub locations of San Francisco, Salt Lake City, and Charlotte along with colleagues located across the country. We have been recognized among Fast Company’s Most Innovative Companies, Forbes’ Fintech 50, and earned the No. 7 spot on Inc. 5000’s list of fastest-growing companies across the country.
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:Facebook - https://www.facebook.com/varomoneyInstagram - www.instagram.com/varobankLinkedIn - https://www.linkedin.com/company/varobankTwitter - https://twitter.com/varobankEngineering Blog - https://medium.com/engineering-varoSoundCloud - https://soundcloud.com/varobank
Varo is an equal opportunity employer. Varo embraces diversity and we 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!Varo will never ask for payment to process documents, refer you to a third party to process applications or visas, or ask you to pay costs. Never send money to anyone suggesting they can provide work with Varo. If you suspect you have received a phony offer, please e-mail careers@varomoney.com with the pertinent information and contact information.
CCPA Notice at Collection for California Employees and Applicants: https://varomoney.box.com/s/q7eockvma9nd2b0utwryruh4ze6gf8eg
About the Data Science TeamVaro’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!
About the RoleVaro 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. At Varo, we believe the future of fraud detection in fintech lies with Machine Learning. We are innovating models that dynamically calculate fraud risk scores and predict customer transaction behavior. You’ll lead Machine Learning in Fraud at Varo, working on models that protect customers from fraudsters while growing Varo’s customer base and enabling product features to be more accessible to all. You will be responsible for developing the machine learning models that will underlie Varo’s fraud detection system. You will own the development and training of these models, as well as contribute to the design of architecture that serves the models.
What you'll be doing
- 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
You’ll bring the following required skills and experiences
- 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
- 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 above and you’re excited about the opportunity and willing to learn, we’d love to hear from you!
About VaroVaro 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 make financial inclusion and opportunity for all a reality by empowering everyone with the products, insights, and support they need to get ahead. Through our core product offerings and suite of customer-first features, we aim to address a broad range of consumer needs while profitably serving underserved communities that have been historically excluded from the traditional financial system.
We are growing quickly in our hub locations of San Francisco, Salt Lake City, and Charlotte along with colleagues located across the country. We have been recognized among Fast Company’s Most Innovative Companies, Forbes’ Fintech 50, and earned the No. 7 spot on Inc. 5000’s list of fastest-growing companies across the country.
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:Facebook - https://www.facebook.com/varomoneyInstagram - www.instagram.com/varobankLinkedIn - https://www.linkedin.com/company/varobankTwitter - https://twitter.com/varobankEngineering Blog - https://medium.com/engineering-varoSoundCloud - https://soundcloud.com/varobank
Varo is an equal opportunity employer. Varo embraces diversity and we 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!Varo will never ask for payment to process documents, refer you to a third party to process applications or visas, or ask you to pay costs. Never send money to anyone suggesting they can provide work with Varo. If you suspect you have received a phony offer, please e-mail careers@varomoney.com with the pertinent information and contact information.
CCPA Notice at Collection for California Employees and Applicants: https://varomoney.box.com/s/q7eockvma9nd2b0utwryruh4ze6gf8eg
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
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Categories:
Data Science Jobs
Machine Learning Jobs
Tags: Architecture Banking Computer Science CX Engineering FinTech Fraud risk Keras Machine Learning ML models PyTorch SageMaker Spark Statistics TensorFlow
Perks/benefits: Career development
Regions:
Remote/Anywhere
North America
Country:
United States
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