Bluevine
Senior Data Scientist
Bluevine, Jersey City, New Jersey, United States, 07390
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!
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.
BENEFITS AND PERKS - for employees located in the US
Excellent health coverage and life insurance benefits401K with an immediate 3% company matchPTO, Company Holidays, and Flexible HolidaysCompany-sponsored Mental Health Benefits, including 1:1 therapyOver $1,000 annually for a wellness benefit of your choiceMonthly WFH stipendGenerous, paid parental leave covering up to 16 weeksAccess to financial coaches and education sessionsFree commuter benefits - Caltrain passes for San Francisco employees and a monthly parking allowanceWeekly catered lunches and fully stocked kitchen pantriesCommunity-based volunteering opportunities
#J-18808-Ljbffr
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!
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.
BENEFITS AND PERKS - for employees located in the US
Excellent health coverage and life insurance benefits401K with an immediate 3% company matchPTO, Company Holidays, and Flexible HolidaysCompany-sponsored Mental Health Benefits, including 1:1 therapyOver $1,000 annually for a wellness benefit of your choiceMonthly WFH stipendGenerous, paid parental leave covering up to 16 weeksAccess to financial coaches and education sessionsFree commuter benefits - Caltrain passes for San Francisco employees and a monthly parking allowanceWeekly catered lunches and fully stocked kitchen pantriesCommunity-based volunteering opportunities
#J-18808-Ljbffr