Skip to content
Back to jobs

Floor & Decor

Lead Data Scientist, AI

Atlanta, GA · 1mo ago

Not specified5+ YOE

Quick summary

AI parsed
Experience
5+ years in Data Science or Applied AI roles, preferably in retail or customer-facing industry. Expert proficiency in Python and SQL. Expertise in supervised/unsupervised learning and modern frameworks (scikit-learn, PyTorch, TensorFlow). Hands-on experience with LLMs, RAG architectures, prompt engineering, or AI agent development. Experience deploying and monitoring models at scale with cloud platforms (Databricks, Snowflake).

Responsibilities

  • Design, develop, and deploy custom machine learning models impacting merchandising, commercial, labor, and digital initiatives within the Databricks environment
  • Partner with business leadership to identify high-value AI opportunities, define technical specifications and success metrics aligned with enterprise strategy
  • Lead experimentation design including A/B testing and causal inference to validate model performance and measure incremental business ROI
  • Establish and enforce MLOps standards across the organization including model versioning, automated retraining, and drift monitoring

Benefits

Bonus opportunities and career advancement opportunities at every level · 401k with company match · Employee Stock Purchase Plan · Referral Bonus Program · Medical, Dental, Vision, Life Insurance Plans · Paid vacation and sick time · Paid holidays plus personal holiday · Paid Volunteer Time Off starting Day 1

Full description

Purpose: As a foundational member of our AI Center of Excellence, you will serve as the data science lead for enterprise AI initiatives, architecting and deploying AI solutions that make a meaningful impact across our national retail footprint.  The Data Scientist Lead will work with other members of the AI COE and business leadership to identify and execute the highest-impact initiatives, own the data science lifecycle, from hypothesis and feature engineering to model validation and performance monitoring; bridging the gap between cutting-edge AI capabilities and practical business applicati…