Join us and help the world's leading organizations unlock the value of technology and build a more sustainable, more inclusive world.

Your RoleAs a MarTech Data Science Lead at Capgemini , you will serve as the senior technical authority responsible for shaping the vision, roadmap, methodologies, and delivery standards of the MarTech Data Science portfolio.

You will drive the development of advanced analytics, machine learning, experimentation, and AI solutions that improve customer experience, marketing performance, operational efficiency, and business growth. This role requires deep expertise in Data Science, technical leadership, model governance, and production Machine Learning environments.

Responsibilities & ScopeData Science Strategy & VisionDefine and communicate the MarTech Data Science technical roadmap.

Identify and prioritize opportunities where advanced analytics and machine learning can drive measurable business outcomes.

Establish long-term strategies for analytics, experimentation, machine learning, and AI initiatives.

Align Data Science investments with business objectives and enterprise priorities.

Advanced Analytics & Machine Learning LeadershipLead problem definition, solution design, methodology selection, and model architecture decisions.

Guide teams through model validation, deployment, monitoring, and continuous improvement.

Model QualityReproducibilityDocumentationMonitoringValidationGovernanceLifecycle ManagementLead the implementation of Responsible AI practices across Data Science initiatives.

Define governance controls that promote transparency, accountability, explainability, and compliance.

Technical Leadership & MentorshipServe as the senior technical advisor for the Data Science team.





Mentor Data Scientists and Analytics professionals.

Stakeholder Engagement & Executive AdvisoryPartner with Product, Marketing, Sales, Analytics, Data Engineering, MLOps, and Technology leaders.

Influence strategic decision-making through data-driven insights.

Present results and recommendations to senior leadership and executive audiences. MLOps & Production AIReview and guide MLOps architectures and production deployment strategies.

Your ProfileThought leader in Data Science - Passionate about leveraging analytics and AI to solve complex business problems.

Technical expert - Comfortable leading enterprise-scale machine learning and AI programs.

Qualifications & Preferred SkillsRequired QualificationsBachelor's or Master's Degree in: Data ScienceStatisticsApplied MathematicsComputer ScienceEngineeringEconomicsOperations ResearchOr a related quantitative discipline.8-12+ years of experience in: Data ScienceMachine LearningAdvanced AnalyticsAI SolutionsMinimum 3 years of experience providing technical leadership for production Machine Learning teams.

Required

SkillsApplied Data Science & StatisticsExpertise in: Predictive AnalyticsPrescriptive AnalyticsSegmentationRecommendation SystemsOptimizationCausal InferenceExperimental DesignDeep understanding of statistical modeling and business-driven analytics.

Experience mentoring Data Scientists and leading technical reviews.





Cloud Analytics & Data PlatformsStrong experience with: SnowflakeCloud-Based Machine Learning PlatformsEnterprise Data PlatformsExperience with Databricks, Apache Spark, or equivalent technologies is highly desirable.

Snowflake Cortex.

What You'll LoveOpportunity to lead enterprise-scale Data Science and AI initiatives.

Exposure to cutting-edge Machine Learning, Advanced Analytics, and Responsible AI programs.

Collaboration with integral Product, Data, Analytics, and Technology leaders.

Career growth opportunities within Capgemini's global Data & AI practice.

Need to KnowCareer Development in Spanish & English: Access to technical certifications, mentorship programs, leadership development tracks, and continuous learning opportunities focused on AI, Machine Learning, Analytics, and Data Science.

Community Engagement: Participate in innovation challenges, AI communities, technical forums, knowledge-sharing sessions, volunteering initiatives, and global Capgemini events.

About CapgeminiCapgemini is a global business and technology transformation partner, helping organizations accelerate their dual transition to a digital and sustainable world while creating tangible impact for enterprises and society. It is a responsible and diverse organization with more than 340,000 team members in over 50 countries.

With more than 55 years of heritage, Capgemini helps clients unlock the value of technology through end-to-end services and solutions, leveraging capabilities in strategy and design, engineering, AI, generative AI, cloud, and data, combined with deep industry expertise and a strong partner ecosystem.

We welcome applications from all qualified

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