The Home Depot is looking to lead data science initiatives that drive business profitability, increased efficiencies and improved customer experience by assisting in the development of the advanced analytics infrastructure that informs decision making.
Requirements
- Proficient in a modern scripting language (preferably Python) with extensive experience working with frameworks like Tensorflow, PyTorch, scikit-learn, NumPy and Pandas
- Experience in building and deploying LLM based applications in production
- Proficient running queries against data (preferably with Google BigQuery)
- Familiarity with cloud platforms like Google Cloud (preferred), AWS, Azure etc
- Experience with multi agent programming frameworks like Google Vertex Conversation Builder, ADK, LangGraph, AutoGen etc
- Experience with text classification, sentiment analysis, entity recognition, and language modeling to analyze and understand customer interactions.
- Hands-on experience with building and fine-tuning generative models like GPT, Gemini, and Llama for crafting natural, context-aware conversational responses.
Responsibilities
- Proficiently design and develop algorithms and models to use against large datasets to create business insights
- Execute tasks with high levels of efficiency and quality
- Make appropriate selection, utilization and interpretation of advanced analytical methodologies
- Effectively communicate insights and recommendations to both technical and non-technical leaders and business customers/partners
- Prepare reports, updates and/or presentations related to progress made on a project or solution
- Clearly communicate impacts of recommendations to drive alignment and appropriate implementation
- Provide direction on prioritization of work and ensure quality of work
Other
- This role assists in the development of the Home Depot advanced analytics infrastructure that informs decision making.
- Sr. Data Scientists are expected to seek out business opportunities to leverage data science as a competitive advantage.
- Based on the specific data science team, this role would need to be Proficient in one or more data science specializations, such as optimization, computer vision, recommendation, search or NLP.
- Serve as a lead on data science projects, collaborating with project/product managers, providing prioritization of tasks, balancing workload and mentoring data scientists on the project team.
- Present insights and recommendations to leaders and business partners and explain the benefits and impacts of the recommended solutions.
