Senior ML/DS AI Engineer - Hybrid, Drive Data Solutions

Sprouts Healthy Communities Foundation; Phoenix (AZ); Hybrid; USD 110,000 - 160,000; Full time

Benefits offered by this job

Competitive pay

401(K) match

Paid holidays

Flexible schedules

DailyPay

Job summary

Sprouts Farmers Market is seeking a senior data scientist to own the design, delivery, operation and continuous improvement of ML models and AI-enabled features in the Phoenix area. You will translate business questions into data-driven solutions, design experiments, monitor models, and communicate findings to engineering and business partners.

The role reports to the Store Support Office in Phoenix with a hybrid in-office requirement Tue–Thu.

Qualifications

• 5+ years of data science, machine learning, or AI engineering experience.
• Strong proficiency in Python and SQL with production experience in ML frameworks, experimentation, feature engineering, model registries, and model monitoring.

Responsibilities

• Own the design, delivery, operation, and continuous improvement of assigned ML models and AI-enabled features.
• Conduct detailed analysis and investigation to translate difficult business questions into data-driven solutions.
• Design experiments and implement model lifecycle, monitoring, explainability, and rollback practices.
• Explain technical findings and recommended changes to engineering and business partners and ensure shared understanding.
• Provide technical guidance and training to associate and intermediate engineers; may delegate work and review work products.
• Operate assigned models independently and seek leadership guidance for broader AI strategy, governance, or platform decisions.

Skills

Data science

Python

SQL

ML frameworks

Model monitoring

Tools

ML frameworks

Model registries

Experimentation platforms

Job description

Sprouts Farmers Market is seeking a senior data scientist to own the design, delivery, operation and continuous improvement of ML models and AI-enabled features in the Phoenix area. You will translate business questions into data-driven solutions, design experiments, monitor models, and communicate findings to engineering and business partners.

The role reports to the Store Support Office in Phoenix with a hybrid in-office requirement Tue–Thu.