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About Bluevine Bluevine is the largest small business banking platform in the U.S., redefining how entrepreneurs manage their money. We create modern financial solutions, from checking and lending to payments and beyond, designed to help small business owners grow, thrive, and take control of their financial future. Our best-in-class technology, advanced security, and deep understanding of the small business community give our customers the confidence to focus on what they do best. Since 2013, weve supported more than 750,000 small businesses nationwide. Backed by leading investors like Lightspeed Venture Partners, Menlo Ventures, 83North, and Citi Ventures, our 500+ person global team shares one mission: to give small businesses the financial tools they need to succeed. Were innovators driven by big ideas, collaboration, and real impact. Here, youll have the freedom to take ownership, grow your career, and make a difference for small business owners across America. Ready to shape whats next 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. About the Role: We are building a cutting-edge data science team in India and are looking for an experienced Lead Data Scientist with a strong focus on marketing analytics and campaign modeling. In this role, you will apply your expertise in predictive modeling, experimental analysis, and data-driven decision-making to enhance and optimize our direct mail and paid media marketing efforts. You will play a key role in developing response models (to predict which leads are likely to engage) and approval models (to predict product approval likelihood), improving customer targeting, and maximizing marketing ROI. This is an exciting opportunity to join a global team and help drive acquisition growth through data science innovation. 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 leads 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 Were 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.Masters 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. Benefits & Perks Excellent group health coverage and life insuranceStock optionsMeal allowanceTransportation assistance (terms and conditions apply)Generous paid time off plan, HolidaysCompany-sponsored mental health benefitsFinancial advisory services for both short- and long-term goalsLearning and development opportunities to support career growthCommunity-based volunteering opportunities .
Here's where they are, who's hiring them, and what to say in your interview.
27.322Jobs
5.920SG
62%EN
Singapore alone has 5,920 of them. India has 3,543. The US has 2,443. If you're looking at a marketing role, geography matters: check WorkMundi's location filters to see which regions match your visa status and timezone. Don't apply everywhere; apply where you can actually work.
Four employers are posting at scale: SIMPLE RECRUIT (1,205 jobs), ROYAL ORG PTE. LTD. (795), SKILLMATCH RECRUITMENT (435), and jobgether (371). If you see a job from one of these names, you're looking at a company that hires marketing roles repeatedly. That's a signal of stability—and a chance to learn their hiring patterns across multiple openings.
In your interview, expect this question: 'Tell us about a time you measured the success of a campaign.' Marketing hiring managers ask this because they want proof you think in metrics, not hunches. Come with a real example—conversions, clicks, revenue, engagement rate, cost per acquisition—pick the metric that mattered most. Show you track what you do.
16,882 of these 27,322 job ads have text written in English. That's the ad itself, not necessarily the language the job requires. Read the job description carefully to confirm what languages the role needs.