Lead Data Scientist- Marketing

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 .