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!

This is a hybrid 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 are following a hybrid model. In-office days will be determined by location and discipline.

BlueVine is looking for an exceptional Data Scientist to join our Austin 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 a real-world product development setting. 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 out of the box mindset, in order to examine our current processes and help us reach the next level of Data Science.

KEY ACCOUNTABILITIES:

• 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 to support End to End ML projects
• Work on multiple DS projects at a given time while meeting deadlines

KNOWLEDGE, SKILLS & ATTRIBUTES

Essential:

• Undergraduate Degree in Statistics, Computer Science, Engineering or related quantitative field
• 2+ years of work experience as a Data Scientist, Machine Learning Engineer or Data Analyst
• Experience developing in a Python Data Science Environment, including experience working with Pandas and other DS Libraries.
• Experience working with Relational Databases and writing optimized SQL queries
• Strong Foundation in Data Science, Statistics and Machine Learning
• Professional and/or Academic experience working with Machine Learning and Data Science Projects
• A willingness to to learn, and  grow your Machine Learning skills

Desirable:

• Master’s Degree in Statistics, Computer Science, Engineering or related quantitative field
• Experience developing, deploying and maintaining Airflow DAGS 
• Experience in the AWS Ecosystem
• 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

DECISION MAKING AND INFLUENCE:

• Experience working cross-functionally with Data Eng, MLOPS, Analytics, Business and Product partners
• Experience communicating technical concepts and findings to a non-technical audience