Lead AI Data Scientist — Enterprise ML & Retail Impact

Floor & Decor; Atlanta (GA); On-site; USD 120,000 - 150,000; Full time

Benefits offered by this job

Bonus opportunities

401k with discretionary company match

Employee Stock Purchase Plan

80 hrs. annualized paid vacation

Medical, Dental, Vision, Life insurance

Job summary

Floor & Decor is looking for a Data Scientist Lead in Atlanta, Georgia. The successful candidate will spearhead AI strategies, translating complex data into actionable insights and enhancing customer experience. Candidates should have a Bachelor's in a related field, 5+ years of experience in Data Science, and deep proficiency in Python and SQL. Key responsibilities include developing machine learning models, leading experimental designs, and establishing MLOps standards. Benefits include a robust bonus structure, 401k matching, and relocation opportunities.

Qualifications

• 5+ years in Data Science or Applied AI roles, preferably in retail.
• Proven track record of moving models into production.
• Strong ability to communicate technical concepts to non-technical stakeholders.

Responsibilities

• Evaluate 3rd-party AI platforms and partnerships.
• Design, develop, and deploy custom machine learning models.
• Lead experimentation design to validate model performance.
• Establish and enforce MLOps standards across the organization.
• Contribute to AI governance framework ensuring ethical practices.

Skills

Python

SQL

Data Science

Supervised/Unsupervised Learning

Model Deployment

Education

Bachelor's degree in Data Science or related field

Master's degree preferred

Tools

Databricks

Power BI

scikit-learn

PyTorch

TensorFlow

Job description

Floor & Decor is looking for a Data Scientist Lead in Atlanta, Georgia. The successful candidate will spearhead AI strategies, translating complex data into actionable insights and enhancing customer experience. Candidates should have a Bachelor's in a related field, 5+ years of experience in Data Science, and deep proficiency in Python and SQL. Key responsibilities include developing machine learning models, leading experimental designs, and establishing MLOps standards. Benefits include a robust bonus structure, 401k matching, and relocation opportunities.