Data Scientist at Home Depot
Atlanta, GA
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Jul 23, 2026
Atlanta, GA
Jul 24, 2026
What this job asks for AI summary
A data science role focused on building AI-driven systems to help professional/trade customers move through complex project quoting and fulfillment workflows. The work centers on developing agentic AI pipelines using conversational AI, retrieval-augmented generation, and multimodal techniques against large enterprise product catalogs. Most time is split between hands-on model and algorithm development, communicating findings to technical and business stakeholders, and contributing reusable code and documentation for future projects.
Mid level · 3+ years · Bachelor's required · 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
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $122,874 (middle half $87,544–$162,374).
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 (9)
The job posting lists a compensation range of $0.00–$0.00, which is a placeholder — no real salary data is available.
No work location is specified in the posting; the CBSA is left blank. The role appears to be US-based (in-office given physical/working-conditions language) but the city is unknown.
The minimum qualification is a bachelor's degree in a related field; a master's in a quantitative field is listed only as preferred.
The minimum years of experience is stated as 3 at the role level; the 4+ years tied to Conversational AI/GenAI/agentic workflows appears under Preferred Qualifications and is scoped to that specialty area.
Python and SQL/BigQuery appear under Preferred Qualifications but are framed with firm proficiency language ('proficient running queries', 'preferably Python') within that section's technical expertise block; they are the clearest hard technical gates in the posting. Excel and PowerPoint are similarly listed there with 'working knowledge' language.
Conversational AI, RAG, vector databases, multimodal AI, LangSmith, NLP, computer vision, and recommendation systems all appear under Preferred Qualifications and are treated as preferred accordingly.
GenAI and agentic workflows are core themes of the role description but are captured under the broader Conversational AI / LLMs preferred skills rather than as separate entries, as the posting does not name distinct tools for them.
B2B e-commerce, supply chain, or trade domain experience is called out as 'a significant plus' — a soft preference not tied to a named technology, so it is omitted per guidelines.
The seniority band is assessed as Mid: the minimum experience gate is 3 years, the role has 0 direct reports, and the scope (participating in project teams, may lead small projects) aligns with mid-level independent contribution rather than Senior ownership.
Read the full posting
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