Data Scientist*

Austin, TX

Full Time Senior-level / Expert USD 68K - 135K *
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Bluevine's Business Checking, Bill Pay, and Line of Credit are built for small businesses like yours. Better business banking solutions, made simple.

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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.



  • 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




  • 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



  • 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



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

* Salary range is an estimate based on our salary survey at

Tags: Airflow AWS Banking Computer Science Engineering Finance Machine Learning ML models MLOps Pandas Python PyTorch Research Scikit-learn Security SQL Statistics TensorFlow

Region: North America
Country: United States
Job stats:  12  7  0
Category: Data Science Jobs
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