Senior Data Scientist

Capgemini Engineering; Bogotá; Presencial; COP 185.569.000 - 309.282.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Health Coverage

Insurance Protection

Language Training

Learning & Development

Stable Employment

Wellness Perks

Descripción de la vacante

Capgemini Engineering in Bogotá seeks a Senior Data Scientist to lead cross-functional AI/ML initiatives, shaping enterprise-wide AI strategy and translating data into actionable business insights for Revenue Management.

You will own end-to-end model development for pricing, demand forecasting, and elasticity, productionizing models in Azure ML and Databricks, and advancing MLOps with MLflow and feature stores.

Formación

• 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.
• Experience communicating insights, assumptions, risks, and trade-offs in clear, concise, and executive-ready narratives.

Responsabilidades

• Owning end-to-end model development for pricing, demand forecasting, and elasticity estimation; productionizing models in Azure ML and Databricks.
• Implementing prescriptive analytics through optimization with Linear Programming, Mixed Integer Programming or Reinforcement Learning.
• Implementing and maintaining feature stores, model monitoring workflows, and drift checks using MLflow (metrics, alerts, lineage).
• Designing and executing A/B tests or quasi-experiments to measure revenue, pricing uplift, and PCP attach rate impact.
• Applying SHAP/LIME and other model interpretability tools to explain drivers of model behavior to Revenue Management partners.

Conocimientos

Python

Spark/Delta

SQL

Azure ML

Databricks

MLflow

PyTorch/TensorFlow

Experimental design

Stakeholder communication

Descripción del empleo

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 mostinnovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as theyprovide 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 arethe same.
Job Description
We are seeking a Senior Data Scientist to lead cross-functional AI/ML initiatives and drive our enterprise-wide AI vision and strategy. This role bridges tactical execution and long-term strategic planning, requiring a visionary who can work both independently and collaboratively with data analytics professionals across and outside our client AI/ML solutions.
In this role you will play a key role in:

• Owning end-to-end model development for pricing, demand forecasting, and elasticity estimation; productionizing models in Azure ML and Databricks
• Implementing prescriptive analytics through optimization with Linear Programming, Mixed Integer Programming or Reinforcement Learning
• Implementing and maintaining feature stores, model monitoring workflows, and drift checks using MLflow (metrics, alerts, lineage)
• Designing and executing A/B tests or quasi-experiments to measure revenue, pricing uplift, and PCP attach rate impact
• Applying SHAP/LIME and other model interpretability tools to explain drivers of model behavior to Revenue Management partners

Your profile:

• 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
• Experience communicating insights, assumptions, risks, and trade-offs in clear, concise, and executive-ready narratives

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.

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.