Lead and mentor a team of data scientists while engaging in advanced data science tasks. Oversee data science projects from concept to deployment, apply machine learning techniques, and ensure data pipelines are efficient. Communicate insights to stakeholders and enhance the data science infrastructure.
About Bluevine
Bluevine is transforming small business banking with innovative solutions like checking, lending, and credit—all tailored to help entrepreneurs thrive. With best-in-class technology, advanced security, and a deep understanding of the small business community, we’re empowering entrepreneurs to grow with confidence.
Backed by leading investors like Lightspeed Venture Partners, Menlo Ventures, 83North, and Citi Ventures, we’ve been supporting SMBs since 2013, serving over 500,000 customers nationwide and growing a dynamic global team of 500 people. Our mission? To fuel small businesses with the financial tools they need to succeed.
At Bluevine, you’ll be part of a collaborative, fast-paced team that’s reshaping the future of banking. Ready to make an impact?
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.
What You'll Do:
- 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
Top Skills
Apache Airflow
AWS
Data Science
Machine Learning
Mlops
Python
PyTorch
Scikit-Learn
SQL
TensorFlow
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