Capgemini is seeking an innovative Marketing Data Scientist to help drive data-informed decision making across our marketing initiatives. In this role, you'll combine advanced analytics with marketing expertise to optimize customer experiences and campaign performance.

About the Role

In this role, you'll combine advanced analytics with marketing expertise to optimize customer experiences and campaign performance.

Responsibilities

Audience Analytics: Deepen understanding of TIAA prospects and customers.
Create capabilities that provide detailed views of audiences and how they are connected to existing marketing efforts.
Develop predictive models to forecast customer behaviors such as churn, lifetime value, and response rates to inform marketing strategy and improve effectiveness.
Advanced Measurement: Develop the marketing attribution strategy for key business outcomes to measure the impact of marketing activities on each stage of the customer lifecycle and optimize marketing spend.
Establish clear marketing KPIs and measurement frameworks.
Build experiments (A/B, holdouts, and causal inference) to measure the incremental impact of marketing.
Develop advanced capabilities that combine marketing attribution and MMM for holistic ROI measurement.
Present data-driven insights and recommendations to senior executives and stakeholders, effectively communicating complex concepts in a clear and concise manner.
Collaborate with cross-functional teams to implement data-driven solutions.
Stay up to date with the latest advancements in data science & AI, marketing analytics, and technology trends to drive innovation and maintain a competitive edge.

Qualifications

Bachelor's degree in Statistics, Computer Science, Mathematics or related quantitative field
5+ years experience applying advanced analytics in a marketing context
Expert knowledge of statistical modeling, machine learning, and experimental design
Proficiency in Python, R, SQL and data visualization tools
Strong business acumen and ability to communicate technical concepts to non-technical stakeholders
Experience with marketing analytics platforms and marketing automation tools

Required Skills

Bachelor's degree in Statistics, Computer Science, Mathematics or related quantitative field
5+ years experience applying advanced analytics in a marketing context
Expert knowledge of statistical modeling, machine learning, and experimental design
Proficiency in Python, R, SQL and data visualization tools
Strong business acumen and ability to communicate technical concepts to non-technical stakeholders
Experience with marketing analytics platforms and marketing automation tools

Preferred Skills