Lead 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! #LI-Hybrid

About the Role:

We are establishing a pioneering data science team in India and are seeking a highly skilled Lead data scientist to drive our efforts. In this role, you will lead a team of data scientists, guiding their work while also remaining hands-on with advanced data science tasks. You will play a crucial role in developing and implementing sophisticated models, coordinating with the group lead, and ensuring alignment with our strategic goals.

Key Responsibilities:

•  Lead and mentor a team of 2 individual contributors (ICs), providing guidance on project execution, technical challenges, and professional growth. Foster a collaborative and innovative team environment.
• Apply your expertise in advanced statistical, machine learning, and predictive modeling techniques to design, build, and improve decision-making systems. Set the standard for technical excellence within the team.
•  Manage and oversee data science projects from concept to deployment, ensuring timely delivery of high-quality solutions. Allocate resources effectively and prioritize tasks to align with business objectives.
•  Serve as the primary point of contact between your team and the group lead. Communicate progress, challenges, and insights clearly and effectively, ensuring alignment with broader organizational goals.
•  Lead efforts to maintain and enhance the data science infrastructure, integrating new technologies and practices into our workflows. Ensure that models are robust, scalable, and maintainable.
• Oversee initiatives to develop and implement data collection strategies that support advanced analytics and model development. Ensure that data pipelines are efficient and reliable.

What We’re Looking For:

• A minimum of 7 years of experience in data science,
• At least 2 years in a leadership or managerial role. Demonstrated experience in leading teams and delivering complex data-driven solutions.
• Extensive experience in developing and deploying production-level code in Python, with a deep understanding of machine learning frameworks such as Scikit-learn, PyTorch, TensorFlow, or similar.
• Proficiency in working with relational databases, writing optimized SQL queries, and managing large-scale datasets.
•  Proven ability to manage the entire lifecycle of ML model development, from ideation and experimentation to deployment and monitoring in a production environment.
•  Ability to analyze complex data sets, derive actionable insights, and communicate these insights effectively to both technical and non-technical stakeholders.
•  A Master’s or Ph.D. in Statistics, Computer Science, Engineering, or a related quantitative field is preferred.
• Demonstrated ability to lead a team, manage multiple priorities, and work effectively across functions and geographies.

Bonus Points:

• Experience working with Data/MLOps Engineering, Analytics, Business, and Product teams in a collaborative environment.
•  Expertise in areas like fraud detection, credit risk prediction, or graph models and analytics.
• Hands-on experience with MLOps, particularly within the AWS ecosystem, and familiarity with orchestration tools like Apache Airflow
• Skilled in designing experiments and analyzing their outcomes to measure the impact and effectiveness of data-driven solutions.

#LI-MS1

#LI-Hybrid

BENEFITS & PERKS

• Excellent group health coverage and life insurance
• Stock options
• Hybrid work model
• Meal allowance
• Transportation assistance (terms and conditions apply)
• Generous paid time off plan, Holidays
• Company-sponsored mental health benefits
• Financial advisory services for both short- and long-term goals
• Learning and development opportunities to support career growth
• Community-based volunteering opportunities