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!

BlueVine is looking for an exceptional Data Scientist to join our Tel Aviv office. 

You should demonstrate strong statistical, mathematical and technical skills, with proven capabilities to transition ideas into fully working projects.

In addition, you needs to have a creative and out of the box mindset, in order to examine our current processes and help us reach the next level of Data Science.

What You'll Do:

• Research and develop Statistical, Data Science and ML Models to enable data driven decision making for stakeholders
• Support DS initiatives that include data gathering, requirements specification, processing, analysis, ongoing deliverables, and presentations
• Work closely with Senior Data Scientists, Data Engineers and multiple business stakeholders to support End to End ML projects
• Work on multiple DS projects at a given time while meeting deadlines

What We Look For:

• 2+ years of work experience as a Data Scientist
• Experience developing in a Python Data Science Environment, including experience working with Pandas and other DS Libraries.
• Experience working cross-functionally with Data Eng, MLOPS, Analytics, Business and Product partners.
• Experience communicating technical concepts and findings to a non-technical audience.
• Undergraduate Degree in Statistics, Computer Science, Engineering or related quantitative field.

Bonus points if you also have:

• Experience with ML frameworks such as PyTorch, Tensorflow and Scikit-Learn.
• Domain level experience in Banking, Finance and Marketing.
• Theoretical and Practical experience developing and deploying ML models, running experiments, and measuring impact.
• Master’s Degree in Statistics, Computer Science, Engineering or related quantitative field.

BENEFITS AND PERKS - for employees located in the US

• Excellent health coverage 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
• Monthly DoorDash credit
• Weekly catered lunches and fully stocked kitchen pantries
• Dog-friendly Redwood City, CA office
• Community-based volunteering opportunities 

BENEFITS & PERKS - for employees located in Israel 

• 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