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Sr. Data Scientist, Machine Learning

Sr. Data Scientist, Machine Learning

Varo BankNew York, NY, United States
21 hours ago
Job type
  • Full-time
Job description

1 month ago Be among the first 25 applicants

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This range is provided by Varo Bank. Your actual pay will be based on your skills and experience talk with your recruiter to learn more.

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), youll get the chance to develop innovative models that affect millions of users in the fintech space. Youll work with experienced Machine Learning Scientists as well as collaborate with your peers on exciting science problems in the fraud detection, risk modeling, personalization, operations, and causal inference spaces.

About the Data Science Team

Varos 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. Were 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 companys growth, apply now!

What youll be doing

  • Develop production-grade ML algorithms, such as fraud detection algorithms, recommender systems, dynamic credit risk models, and large-scale causal inference models, as well as processes for monitoring and analyzing their performance
  • Leverage large data sets from different sources, and use modern modeling techniques such as tree-based methods, neural networks, and reinforcement learning to increase and optimize customer experiences, customer acquisition, underwriting, and other business outcomes
  • Work with stakeholders throughout the organization to identify opportunities for driving business decisions or improving our product suite with ML
  • Collaborate cross-functionally with the engineering team to deploy models and monitor outcomes

Youll 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, including but not limited to relevant experience from your PhD research
  • Experience applying a wide range of statistical techniques to large data sets, and understanding their real-world advantages / drawbacks
  • Experience using Python for analysis, modeling, and visualization (numpy, pandas, scikit, nltk, matplotlib, etc.)
  • Ability to thrive in a fast-paced environment
  • Strong bias for action and team player
  • Preferred : Familiarity with Sagemaker, Spark, TensorFlow, Keras, and PyTorch
  • #MidSenior

    We recognize not everyone will have all of these requirements. If you meet most of the criteria above and youre excited about the opportunity and willing to learn, wed 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. Were 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 Companys Most Innovative Companies, Forbes Fintech 50, and earned the No. 7 spot on Inc. 5000s 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 -
  • Instagram -
  • LinkedIn -
  • 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@ with the pertinent information and contact information.

    CCPA Notice at Collection for California Employees and Applicants :

    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. Per applicable law, the salary range for this role is $150,000 - $200,000. Final offer amounts are determined by multiple factors as well as candidate experience and expertise and may vary from the identified range.

    Seniority level

  • Mid-Senior level
  • Employment type

  • Full-time
  • Job function

  • Engineering and Information Technology
  • Industries : Banking
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