Data Scientist

Responsibilities

• Build and maintain multi-touch attribution (MTA) models, including touch-order aware and channel-weighted models with incremental lift quantification.
• Develop cohort-level LTV/CAC scoring models using transaction signals and behavioral features.
• Design holdout and matched-market test frameworks to measure incrementality across CTV, display, paid search, and social channels.
• Develop SHAP-based feature importance pipelines and behavioral micro-cohort clustering using unsupervised and semi-supervised methods.
• Collaborate with engineering to design AI-powered audience authoring and measurement intelligence frameworks.
• Translate complex model outputs into actionable business narratives for VP- and C-level marketing stakeholders.

Requirements

• 5+ years of applied data science experience.
• Expert Python proficiency, including scikit-learn, XGBoost or LightGBM, SHAP, pandas, and statsmodels.
• Experience with at least one deep learning framework for production model development.
• Deep expertise in multi-touch attribution (MTA), media mix modeling (MMM), and incrementality testing.
• Proven experience building LTV, propensity, and CAC models using financial or behavioral data.
• Proficiency in SQL across cloud data warehouses such as Snowflake, BigQuery, or Redshift.
• Experience operating within data clean rooms and designing models for privacy-preserving aggregates.
• Strong statistical foundations in causal inference, Bayesian methods, and experimental design.

Preferred Qualifications

• Experience designing AI-augmented analytics workflows using LLM APIs for signal summarization or structured output.
• Familiarity with walled garden measurement environments like Google ADH, Meta Analytics API, or Amazon Attribution.
• Experience with graph-based modeling (e.g., Neo4j, Amazon Neptune) for identity linkage or household modeling.
• Demonstrated expertise in identity resolution and cross-device attribution at scale.

Benefits

• Paid time off including vacation, company holidays, personal days, and sick leave.
• Medical, dental, and vision coverage.
• Retirement savings plans (e.g., 401(k)).
• Life and disability insurance.
• Employee assistance programs.

About the Company

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world. With over 340,000 team members in more than 50 countries, we leverage market-leading capabilities in AI, generative AI, cloud, and data to deliver end-to-end solutions for our clients.