{"id":3185032,"url":"https://alion.io/job/capgemini-data-scientist-17","title":"Data Scientist","company":{"id":145,"name":"Capgemini","domain":"capgemini.com","url":"https://alion.io/company/capgemini","size_band":"5000+","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Career site","truth_index":{"grade":"B","score":80,"open_postings":1835,"ghost_share":0.001,"stale_share":0.798,"repost_share":0.009,"time_to_fill_p50_days":28,"computed_at":"2026-10-28T05:59:10Z"}},"role":"Data Science","role_family":"Data Science","seniority":null,"employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bogotá, Colombia"],"countries":["CO"],"hiring_countries":["CO"],"hiring_countries_total":1,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Amazon SageMaker","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Claude Code","optional":false},{"name":"Cursor","optional":false},{"name":"Databricks","optional":false},{"name":"Function Calling","optional":false},{"name":"GCP","optional":false},{"name":"LightGBM","optional":false},{"name":"LLM","optional":false},{"name":"OpenAI Codex","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"SHAP","optional":false},{"name":"SQL","optional":false},{"name":"XGBoost","optional":false},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-10-23T12:43:23Z","employer_posted_date":"2026-10-23","last_verified_at":"2026-10-28T10:38:01Z","board_verified":true,"closed_at":null,"days_open":4,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":4},"description":"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.\nJob Description\nYour Role:\nMust-have: Core ML\nStrong SQL: complex joins, CTEs, window functions, and query performance tuning.\nStrong Python.\nPySpark or similar.\nReal forecasting and classification work (demand forecasts, lead scoring, propensity) in production or serious projects.\nCoursework does not count.\nXGBoost and/or LightGBM in production.\nSHAP to explain and debug models for non-technical stakeholders.\nMust-have: GenAI / Agentic\nHands-on agentic coding with Claude Code, Codex, or Cursor.\nHas built (not only advised on) GenAI products: RAG, vector search, agents with tool use.\nLLM APIs at scale: batch or async jobs with thousands of calls (data labeling, metadata extraction from text), not one-off prompts.\nMust-have: Platform\nAzure and/or Databricks (both preferred).\nStrong GCP/Vertex or AWS/SageMaker experience is acceptable. \n#LI-DC10\n#LI-Remote\nCapgemini 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. 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