Data Scientist

At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world’s most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same

Your role:

We are seeking a Data Scientist to lead cross-functional AI/ML initiatives and drive our enterprise wide AI vision and strategy. This role is a bridge between tactical execution and long-term strategic planning, requiring a visionary who can work independently and collaboratively with data analytics professionals to deliver transformative AI/ML solutions.

The Data Scientist will frequently interface with senior stakeholders, providing thought leadership and regular updates on key analytics initiatives. This position demands top-tier technical expertise in machine learning & generative AI, combined with exceptional written and oral communication skills. The ideal candidate is a proven leader who pairs expert-level modeling and software engineering skills with outstanding stakeholder management and strategic program leadership.

• Own end-to-end model development for pricing, demand forecasting, and elasticity estimation; productionize models in Azure ML and Databricks.
• Implement prescriptive analytics through optimization with Linear Programming, Mixed Integer Programming or Reinforcement Learning.
• Implement and maintain feature stores, model monitoring workflows, and drift checks using MLflow (metrics, alerts, lineage).
• Design and execute A/B tests or quasi-experiments to measure revenue, pricing uplift, and PCP attach rate impact.
• Apply SHAP/LIME and other model interpretability tools to explain drivers of model behavior to Revenue Management partners.
• Contribute to CI/CD workflows (Azure DevOps), support data contracts with Data Engineering, and develop scalable API and batch-serving patterns.
• Communicate insights, assumptions, risks, and trade-offs in clear, concise, and executive ready narratives.

Required Skills & Qualifications

• 2–4 years of hands-on Data Science experience delivering production-grade ML solutions.
• Proficiency in Python (scikit-learn, XGBoost), Spark/Delta, SQL, Azure ML, Databricks, and MLflow; familiarity with PyTorch or TensorFlow is a plus.
• Strong understanding of experimental design, statistical testing, and causal inference basics.
• Ability to translate technical concepts into actionable business insights; skilled in stakeholder alignment and cross-functional communication.

What We Offer

• Stable Employment: Permanent contract offering long-term job security.
• Learning & Development: Access to a wide range of online training platforms and professional development resources.
• Language Training: Weekly virtual English classes and conversation sessions with certified instructors. Online Courses for different languages.
• Health Coverage: Comprehensive prepaid medical and dental plans.
• Insurance Protection: Life and accident insurance for peace of mind.
• Wellness Perks: Discounts and benefits through fitness and technology partnerships.
• Special Occasion benefits.

About Capgemini

At Capgemini Colombia, 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.