About this role
Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.
Your Role
- Lead the development and improvement of predictive and prescriptive machine learning models that directly support marketing, personalization, customer lifecycle, and commercial business strategies.
- Partner with business stakeholders to translate real-world marketing opportunities into data science solutions, defining success metrics and measuring business impact.
- Own the full model lifecycle, including feature engineering, experimentation, validation, deployment, monitoring, and ongoing performance optimization.
- Mentor and provide technical guidance to other Data Scientists through peer reviews, best practices, and model governance activities.
- Work closely with Data Engineering and MLOps teams to ensure models are scalable, production-ready, maintainable, and capable of delivering measurable business value.
Your Profile
- 5+YOE of hands-on Data Science experience building, validating, deploying, and optimizing predictive and prescriptive machine learning models in production environments.
- Strong expertise in machine learning and statistical modeling, including feature engineering, model evaluation, experimentation, backtesting, and performance measurement.
- Experience applying Data Science to marketing use cases, such as customer segmentation, personalization, campaign optimization, lifecycle marketing, customer propensity, or commercial analytics.
- Ability to translate business problems into analytical solutions, partnering with stakeholders to define success metrics, quantify impact, and communicate actionable recommendations.
- Technical leadership and mentoring experience, including code reviews, model governance, best practices, and guiding junior Data Scientists through the model development lifecycle.
- Fluent English level
What you'll love
- Work on meaningful projects that use technology to solve real-world challenges.
- Be part of a company that values sustainability, inclusion, and digital equity.
- Contribute to building a better future for people, planet, and society.
Need to know
This role can be working from any state of Mexico
Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organizations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of over 420,000 team members in more than 50 countries. We deliver end-to end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations.
At Capgemini Mexico, we aim to attract the best talent and are committed to creating a diverse and inclusive work environment, so there is no discrimination based on race, sex, sexual orientation, gender identity or expression, or any other characteristic of a person. All applications welcome and will be considered based on merit against the job and/or experience for the position.