Lead Data Scientist (Marketing)

Reposted 3 Days Ago
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Bengaluru, Karnataka
Hybrid
Senior level
Fintech • Payments • Professional Services • Financial Services
We empower small businesses with innovative banking designed for them.
The Role
As a Lead Data Scientist in Marketing, you'll design predictive models for customer engagement and campaign effectiveness, collaborate with cross-functional teams, and analyze marketing data to drive segmentation strategies.
Summary Generated by Built In

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 750,000 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?

This is a hybrid roleAt 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.

Key Responsibilities:Marketing Model Development & Optimization
  • Design and build response models to predict the likelihood of customer engagement with campaigns.
  • Develop approval models to estimate a lead’s probability of being approved for financial products.
  • Analyze match backs (expected value calculations) to support decisions for direct mail and paid marketing initiatives.
Campaign Analytics & Insights
  • Partner with marketing teams to design experiments, define KPIs, and measure campaign effectiveness.
  • Conduct deep-dive analyses on direct mail and digital media campaigns to extract actionable insights.
  • Drive targeting strategy and segmentation using model outputs and historical performance data.
Scalable Implementation & Model Management
  • Ensure models are production-ready using software engineering best practices.
  • Monitor and improve model performance over time, integrating results into campaign execution pipelines.
Cross-Functional Collaboration
  • Work closely with global stakeholders across Data Science, Marketing, Risk, Product, and Engineering.
  • Provide thought leadership on applying machine learning to growth and acquisition efforts.
  • Translate technical findings into clear, business-impactful recommendations.
What We’re Looking For:
  • 8+ years of experience in data science with a focus on marketing, growth, or customer acquisition.
  • Proven track record developing and deploying predictive models for marketing use cases.
  • Strong proficiency in Python and ML libraries (e.g., Scikit-learn, XGBoost, PyTorch, or TensorFlow).
  • Advanced SQL skills and experience working with large-scale relational databases.
  • Deep understanding of statistical testing, experiment design, and campaign performance analysis.
  • Ability to think creatively and move quickly, with a bias for action in a fast-paced environment.
  • Exceptional communication skills with the ability to present findings clearly to non-technical stakeholders.
  • Master’s or Ph.D. in Statistics, Computer Science, Engineering, or a related quantitative field.
Bonus Points:
  • Experience with direct mail targeting, paid media optimization, or acquisition funnel analytics.
  • Background in fintech, credit products, or regulated industries.
  • Familiarity with MLOps, particularly in the AWS ecosystem, and workflow tools like Apache Airflow.
  • Prior work involving uplift modeling, lookalike modeling, or media mix optimization.

#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
Python
PyTorch
Scikit-Learn
SQL
TensorFlow
Xgboost
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The Company
HQ: Jersey City, NJ
599 Employees
Year Founded: 2013

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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