Senior Data Scientist

🔥 16 hours ago

🇨🇴 Colombia – Remote

⏰ Full Time

🟠 Senior

📊 Data Scientist

👻 Ghost score 12%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Capgemini

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1967

💼 Consulting

🏥 Healthcare

📦 Logistics

Consulting • Healthcare • Logistics

Capgemini is a global leader in partnering with businesses to transform and manage their operations by harnessing the power of technology. With expertise across a wide array of industries such as aerospace, automotive, banking, and healthcare, Capgemini provides a constantly evolving portfolio of services to meet the ever-changing needs of their clients. Their offerings include cloud, cybersecurity, data and artificial intelligence, and enterprise management, among others. Capgemini also emphasizes innovation and sustainability, helping companies achieve digital transformation while promoting environmental and social responsibility. Additionally, Capgemini provides career opportunities across various levels and professions, encouraging innovation and diversity in its workforce.

📋 Description

• Lead cross-functional AI/ML initiatives and drive the enterprise-wide AI vision and strategy • Work independently and collaboratively with data analytics professionals across and outside client AI/ML solutions • Own end-to-end model development for pricing, demand forecasting, and elasticity estimation • Productionize models in Azure ML and Databricks • Implement prescriptive analytics using Linear Programming, Mixed Integer Programming, or Reinforcement Learning • Implement and maintain feature stores, model monitoring workflows, and drift checks using MLflow • 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 model behavior to Revenue Management partners

🎯 Requirements

• 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, executive-ready narratives

🏖️ Benefits

• Permanent contract offering long-term job security • Access to a wide range of online training platforms and professional development resources • Weekly virtual English classes and conversation sessions with certified instructors • Online courses for different languages • Comprehensive prepaid medical and dental plans • Life and accident insurance • Discounts and benefits through fitness and technology partnerships • Special Occasion benefits