Senior Data Scientist

About Bluevine Bluevine is dedicated to providing a brighter financial future for small business owners through innovative banking solutions designed specifically for them. By merging top-notch technology with advanced security and a deep understanding of the small business community, we offer comprehensive banking and lending products that empower always-on entrepreneurs to confidently grow their businesses. As a growth-oriented company with enormous potential, we're supported by top investors such as Lightspeed Venture Partners, Menlo Ventures, 83North, Citi Ventures, and we have nearly 9 years of proven success. Since our inception in 2013, we have expanded exponentially, amassing over 400,000 customers across all 50 states and a global team of more than 500 individuals. We are driven by purpose—providing small businesses with the tools they need to succeed—and we're just getting started. All of this starts with our team—enthusiastic individuals driven by collaboration, problem-solving, continual learning, and growth. Committed to innovation and community impact, our mission is to help every small business—and every team member—flourish. Come join us! #LI-Hybrid This is not a completely remote role. At Bluevine, we value our collaborative culture, which we believe thrives best through in-person engagement and a vibrant office atmosphere. Following local guidelines, all our offices have reopened and are operating on a hybrid model. About the Role BlueVine is seeking an exceptional Data Scientist for our Tel-Aviv or Jersey City location. The perfect candidate is a data enthusiast with a solid record of resolving complex data-related problems using advanced statistical and machine-learning tools in real-world product development environments. Candidates must exhibit strong statistical, mathematical, and technical skills, and demonstrate the ability to transform ideas into fully functional projects. The candidate should possess an innovative and out-of-the-box mindset to analyze our existing processes and help us achieve the next level in Data Science. What You'll Be Doing - Applying advanced statistical and predictive modeling techniques to design, build, maintain, and enhance multiple decision-making systems. - Implementing models in a scalable, robust, and maintainable way using modern software development techniques. - Collaborating on highly technical MLOps projects, redesigning operating infrastructures, maintaining and improving current models and underlying systems, and integrating new technologies into the data science workflow. - Leading initiatives to define and implement dedicated data collection procedures to include information that is useful for building our analytical systems. - Working closely with your fellow Data Scientists, the R&D department, and cross-functionally with teams across the US and Israel. What We Look For Essential Skills: - Master’s Degree or Ph.D. in Statistics, Computer Science, Engineering, or a related quantitative field. - At least three years of working experience as a full-stack Data Scientist or equivalent. - Domain-level experience in Credit Risk modeling in the financial services industry. - Experience developing and deploying scalable production-level code in Python and 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 (encompassing Ideation, R&D, Analysis, Training/Testing, Deployment, and Measurement). Desirable: - MLOps Experience in the AWS Ecosystem. - Experience developing, deploying, and maintaining Airflow DAGS. - Experience designing and running Experiments to measure impact. - Experience working cross-functionally with Data Engineer, MOPS, Analytics, Business, and Product partners. Decision-Making and Influence Experience in communicating technical concepts and findings to a non-technical audience. Benefits and Perks - for employees located in the US - Excellent health and life insurance benefits. - 401K with an immediate 3% company match. - PTO, Company Holidays, and Flexible Holidays. - Company-sponsored Mental Health Benefits, including 1:1 therapy. - Over $1,000 annually for a wellness benefit of your choice. - Monthly WFH stipend. - Generous, paid parental leave covering up to 16 weeks. - Access to financial coaches and education sessions. - Free commuter benefits - Caltrain passes for San Francisco employees and a monthly parking allowance. - Weekly catered lunches and fully stocked kitchen pantries. - Opportunities for community-based volunteering.