Data Scientist

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:

2-5 years of working experience as a full-stack Data Scientist or equivalent.
Experience developing and deploying scalable production-level code in Python.
Working with ML frameworks such as PyTorch, TensorFlow, and Scikit-Learn.
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:

Master's Degree in Statistics, Computer Science, Engineering, or a related quantitative field
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

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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