Lead Data Scientist at Capgemini
Atlanta, GA
$150,000–$210,000from the description
Jul 21, 2026
Atlanta, GA
Jul 22, 2026
What this job asks for AI summary
A senior individual-contributor role focused on building and deploying Generative AI systems, including LLM-based applications, RAG pipelines, and prompt engineering solutions. The work spans the full lifecycle from model development to production deployment on major cloud platforms. Suited to someone with over a decade of IT experience, at least two years in Generative AI, and strong hands-on skills in Python, ML frameworks, vector databases, and containerized cloud-native architectures.
Senior level · 12+ years · Atlanta-Sandy Springs-Alpharetta, GA · Full-time
“or” means any one of them counts — you don't need all of them.
We read this from the posting text with AI. Skim the description below before ruling yourself out.
How this req sits in the market our data
Roughly 9 people in the Atlanta-Sandy Springs-Alpharetta, GA area plausibly meet what this posting asks for (data scientists). range 3–20
Applicant volume Light — Few people clear these requirements, so an application that does clear them gets looked at. Worth applying to even if you miss a nice-to-have.
Rare in this occupation — lead with these, and say what you built with them.
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $111,336 (middle half $92,500–$147,851). This posting is about at that midpoint.
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 28, 2026. It is a model, not a headcount.
Why we read it this way (6)
The role title is 'Lead Data Scientist' but carries no explicit seniority level word (Junior/Senior/Staff/etc.) in the title itself, so the title states no level. The 12+ years of overall IT experience and 2+ years of Generative AI experience support a Senior classification.
The posting requires a Bachelor's OR Master's degree in a relevant field, but does not hard-gate on one over the other, and does not explicitly exclude equivalent experience — the degree requirement is set to None accordingly.
The role blends Data Science (ML modeling, RAG, LLMs) with substantial software engineering (scalable AI deployment, containerization, cloud platforms), making 15-1252 Software Developers a credible runner-up SOC.
Vector databases are listed with multiple named alternatives (Pinecone, Weaviate, Chroma, FAISS, Milvus) under the required skills section; Pinecone is used as the primary with the others captured as alternatives.
Cloud AI platforms (AWS SageMaker, Azure Machine Learning, Google Cloud Vertex AI) are listed as a group under required skills; AWS SageMaker is used as the primary with the others as alternatives.
Zero-Shot Learning and Few-Shot/Multi-Shot Prompting appear as sub-bullets under the required skills section's 'Demonstrated expertise in' list and are treated as hard gates.
Read the full posting
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