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!

What You'll Do:

• Apply advanced statistical and predictive modeling 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.
• Manage initiatives to define and implement dedicated data collection procedures for building 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:

• 2+ years of working experience as a Data Scientist.
• Experience developing and deploying scalable production-level code in Python.
• Working with ML frameworks such as Scikit-learn, PyTorch, TensorFlow or similar.
• Experience working with Relational Databases and writing optimized SQL queries.
• Theoretical and Practical experience developing and deploying ML models (Ideation, Training/Testing, Deployment, and Monitoring).
• Ability to evaluate complex data sets and drive meaningful insights.
• Experience communicating technical concepts and findings to a non-technical audience.
  
  

Bonus points if you also have:

Advanced Degree in Statistics, Computer Science, Engineering, or a related quantitative field

• Previous experience in one of the following areas:
• Fraud detection or credit risk prediction
• Graph models and analytics
• MLOps Experience in the AWS ecosystem and Apache Airflow
• Designing and Running Experiments to measure impact
• Experience working cross-functionally with Data/MLOps Engineering , Analytics, Business and Product partners
  
  

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