Senior Data Scientist

This is not a fully remote role. At Bluevine, we pride ourselves on our collaborative culture, which we believe is best maintained through in-person interactions and a vibrant office environment.  All of our offices have reopened in accordance with local guidelines, and follow a hybrid model.

ABOUT THE ROLE

BlueVine seeks an exceptional Data Scientist to join our Tel-Aviv or Jersey City office. The ideal candidate is a data enthusiast with a proven track record of solving complex data-related problems using advanced statistical and machine-learning tools in real-world product development settings. Candidates should demonstrate strong statistical, mathematical, and technical skills, with proven capabilities to transition ideas into fully working projects. In addition, the candidate needs to have a creative and innovative mindset to examine our current processes and help us reach the next level of Data Science.

WHAT YOU'LL BE DOING

• 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.
• 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

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 (spanning Ideation, R&D, Analysis, Training/Testing, Deployment, and Measurement).

Desirable:

• 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.

DECISION-MAKING AND INFLUENCE

Experience communicating technical concepts and findings to a non-technical audience.

New Hire Base Salary Range: $134,300 - $161,200

This role is also eligible to earn annual performance-based incentive compensation in the form of a cash bonus.