Data Scientist

🔥 13 hours ago

🇨🇴 Colombia – Remote

⏰ Full Time

🟡 Mid-level

🟠 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.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

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

• Develop and apply machine learning models for forecasting and classification • Build GenAI products using RAG, vector search, and agents with tool use • Implement agentic solutions using Claude Code, Codex, or Cursor • Run LLM API batch or asynchronous jobs at scale for data labeling and metadata extraction • Use SHAP to explain and debug models for non-technical stakeholders • Work with cloud and data platforms including Azure, Databricks, GCP/Vertex, or AWS/SageMaker • Provide data science and engineering services to innovative companies across industries

🎯 Requirements

• Strong SQL: complex joins, CTEs, window functions, and query performance tuning • Strong Python • PySpark or similar • Real forecasting and classification work (demand forecasts, lead scoring, propensity) in production or serious projects; coursework does not count • XGBoost and/or LightGBM in production • SHAP to explain and debug models for non-technical stakeholders • Hands-on agentic coding with Claude Code, Codex, or Cursor • Built GenAI products including RAG, vector search, and agents with tool use • LLM APIs at scale: batch or async jobs with thousands of calls • Azure and/or Databricks preferred; strong GCP/Vertex or AWS/SageMaker experience is acceptable