Marketing Data Scientist

Capgemini; United States; On-site; USD 72,000 - 111,000; Full time

Job summary

A leading company in IT Services and Consulting is seeking a Marketing Data Scientist. You will leverage advanced analytics to optimize marketing campaigns, driving customer engagement and improving decision making. This mid-senior level position is ideal for individuals with a strong foundation in statistical modeling and marketing analytics.

Qualifications

• 5+ years experience applying advanced analytics in a marketing context.
• Expert knowledge of statistical modeling and machine learning.
• Strong ability to communicate technical concepts to non-technical stakeholders.

Responsibilities

• Develop predictive models to enhance marketing strategies.
• Establish marketing KPIs and measurement frameworks.
• Collaborate with cross-functional teams to implement data-driven solutions.

Skills

Statistical modeling

Machine learning

Experimental design

Business acumen

Data visualization

Education

Bachelor's degree in Statistics, Computer Science, Mathematics or related quantitative field

Tools

Python

R

SQL

Job description

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About the Company

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

• Master’s or PhD in quantitative field
• Financial services industry experience
• Experience with cloud computing platforms (AWS, Azure, etc.)

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Consulting

• Industries

  IT Services and IT Consulting

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