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 Data Science Manager 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:
- Team Leadership & Development: 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.
- Hands-on Modeling & Analytics: 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.
- Project Management: 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.
- Stakeholder Communication: 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.
- MLOps & System Integration: 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.
- Strategic Data Collection: 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:
- 7+ Years of Experience: A minimum of 7 years of experience in data science, with at least 2 years in a leadership or managerial role. Demonstrated experience in leading teams and delivering complex data-driven solutions.
- Expertise in Python: 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.
- Strong SQL and Database Knowledge: Proficiency in working with relational databases, writing optimized SQL queries, and managing large-scale datasets.
- Comprehensive ML Lifecycle Experience: Proven ability to manage the entire lifecycle of ML model development, from ideation and experimentation to deployment and monitoring in a production environment.
- Analytical & Strategic Thinking: Ability to analyze complex data sets, derive actionable insights, and communicate these insights effectively to both technical and non-technical stakeholders.
- Educational Background: A Master's or Ph.D. in Statistics, Computer Science, Engineering, or a related quantitative field is preferred.
- Proven Leadership Skills: Demonstrated ability to lead a team, manage multiple priorities, and work effectively across functions and geographies.
Bonus Points:
- Cross-Functional Collaboration: Experience working with Data/MLOps Engineering, Analytics, Business, and Product teams in a collaborative environment.
- Domain Specialization: Expertise in areas like fraud detection, credit risk prediction, or graph models and analytics.
- MLOps & Cloud Infrastructure: Hands-on experience with MLOps, particularly within the AWS ecosystem, and familiarity with orchestration tools like Apache Airflow.
- Experimentation & Impact Analysis: Skilled in designing experiments and analyzing their outcomes to measure the impact and effectiveness of data-driven solutions.
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What We Do
We are on a mission to enable a better financial future for small business owners through innovative banking solutions designed just for them.
Bluevine is on a mission to enable a better financial future for small business owners through innovative banking solutions designed for them. Small businesses deserve accessible and modern financial services, and traditional banks have underserved them for too long.
By combining industry-leading technology and security with our team's expertise and care, we help small businesses spend their time on what matters most—the next chapter of their business.
Since 2013, we've provided small businesses with access to more than $13billion in financing. As a top small business banking provider trusted by thousands of small business owners, we're proud to offer a full suite of tailored banking services, including a business checking account, line of credit, and bill pay services that serve the always-on entrepreneur.
With a global presence of more than 500 employees, we're hiring problem solvers and collaborators to help build a better financial future for small business owners.
* BlueVine is a financial technology company, not a bank.
Why Work With Us
Grow your career alongside problem solvers and innovators who thrive on collaboration, a fun environment, and meaningful work. We’re a diverse and humble team who love a good challenge and spend our days building a better financial future for small businesses. Join us!
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