AI Data Scientist – Marketing Analytics
Ford Motor Company (company site, opens in a new tab)5+ yrsBengaluruOn-siteDirect career pageEst. 22–34 LPA
Posted 1d ago
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Job description
Structured overview of role & requirements
About This Role
- Lead design, development, validation, and deployment of advanced statistical and machine learning models supporting Marketing Mix Modeling, Multi-Touch Attribution, audience analytics, and first-party data initiatives.
- Quantify incremental impact of digital touchpoints and build audience analytics models (segmentation, propensity, lookalike, lifetime value, churn) using diverse marketing and customer data sources.
- Translate complex model outputs into actionable insights and dashboards to influence marketing and media investment decisions across the organization.
Minimum Requirements
- Bachelor's or master's degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or related quantitative field.
- 5+ years of experience in Data Science, Marketing Analytics, or related fields with hands-on statistical/ML modeling experience.
- Proficiency in Python (pandas, scikit-learn, statsmodels; PyMC/Stan or MMM libraries preferred) and SQL.
- Experience with statistical modeling (regression, time series, Bayesian), machine learning, cloud platforms (GCP preferred), and BI tools like Looker, Power BI, or Tableau.
Ideal Candidate Profile
- Experience leading end-to-end development of marketing analytics models including Multi-Touch Attribution and Marketing Mix Modeling in a data-driven marketing environment.
- Strong operational skills in feature engineering, data integration from CRM/CDP and marketing platforms, and collaboration with data engineering teams.
- Expertise in communicating complex quantitative insights through dashboards and storytelling to influence business stakeholders.