Data Scientist
Hybrid
Full Time
#Technology
#Python
#scikit learn
#PyTorch
#TensorFlow
#Relational Databases
#SQL
#MLOps
#AWS
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
#LI-RW1
#LI-Hybrid
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
