Back
Metro Bengaluru location and desirable data lead role increase competition, but marketing analytics specialization narrows applicants.
Core data science and marketing analytics skills are transferable across industries, though fintech credit experience adds specialization.
Explicit 8+ years requirement plus Master's/PhD and technical stack makes screening highly strict.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Lead development and optimization of marketing predictive models including response and approval models to improve customer targeting and marketing ROI.
Analyze and measure marketing campaign effectiveness through experiments and KPIs, providing actionable insights for direct mail and paid media.
Ensure production readiness and continual performance monitoring of models, collaborating cross-functionally to integrate machine learning into acquisition strategies.
8+ years of experience in data science focusing on marketing, growth, or customer acquisition.
Master's or Ph.D. in Statistics, Computer Science, Engineering, or related quantitative field.
Strong proficiency in Python and ML libraries (e.g., Scikit-learn, XGBoost, PyTorch, TensorFlow) and advanced SQL skills.
Experience with statistical testing, experiment design, and campaign performance analysis.
Experience building and deploying marketing predictive models specifically for campaign targeting and approval likelihood in fintech or regulated industries.
Ability to translate complex technical data science findings into clear, actionable business insights for marketing and product teams.
Comfort working in fast-paced, cross-functional environments driving acquisition growth through data science innovation.