About Bluevine

Bluevine is on a mission to enable a better financial future for small business owners through innovative banking solutions designed just for them. By combining best-in-class technology with advanced security and a deep understanding of the small business community, we deliver end-to-end banking and lending products that empower always-on entrepreneurs to grow their businesses with confidence.

As a dynamic company with massive potential, we’re backed by leading investors such as Lightspeed Venture Partners, Menlo Ventures, 83North, Citi Ventures, and nearly 9 years of proven success. Since launching in 2013, we have grown exponentially, amassing over 400,000 customers across all 50 states and a global team of more than 500 people. Our passion is driven by purpose: to give small businesses the tools they need to succeed and we’re just getting started.

All of this begins with our team who are driven by collaboration, problem-solving, and learning and growing together. With a commitment to innovation and community impact, our mission is to help every small business—and every team member—thrive. Join us!

About the Role:

We are looking for a motivated Data Scientist to join our team.

WHAT YOU'LL DO:

• Apply advanced statistical and predictive modelling techniques to design, build, maintain, and improve multiple decision-making systems.
• Apply modern software development techniques to implement models in a scalable, robust, and maintainable way.
• Collaborate on highly technical MLOps projects - from redesigning working infrastructures, maintaining and improving our current models and underlying systems and integrating new technologies into the data science workflow.
• Lead initiatives to define and implement dedicated data collection procedures to include information that is relevant for building our analytical systems
• Work closely with your fellow Data Scientists, the R&D department, and cross-functionally with teams across the US and Israel.
  
  

WHAT WE LOOK FOR:

• At least 3 years of working experience as a full-stack Data Scientist or equivalent.
• Must - Experience in Credit Risk modeling in the financial services industry.
• Master’s Degree or Ph.D. in Statistics, Computer Science, Engineering, or related quantitative field.
• Experience developing and deploying scalable production-level code in Python, optimized SQL queries, and working with ML frameworks such as PyTorch, TensorFlow, and Scikit-Learn.
• Theoretical and Practical experience developing and deploying ML models (spanning Ideation, R&D, Analysis, Training/Testing, Deployment, and Measurement)
  
  

Nice to Have:

• MLOps Experience in the AWS Ecosystem
• Experience developing, deploying, and maintaining Airflow DAGS
• Designing and Running Experiments to measure impact
• Experience working cross-functionally with Data Eng, MLOPS, Analytics, Business and Product partners
• Experience communicating technical concepts and findings to a non-technical audience
  
  

Benefits & Perks

• Excellent group health coverage and life insurance benefits
• Stock options
• Flexible hybrid work model
• Large Study Fund contribution
• Salary Benchmarks and Checkpoints
• Monthly meal card of TenBis or CiBus (your choice) with generous balance
• Free parking for cars, scooters, and bikes
• Free gym membership
• Company-sponsored Mental Health Benefits
• PTO, Company Holidays, and Flexible Holidays
• Community-based volunteering opportunities