AI/ML Lead Data Scientist — Onsite Phoenix

Talentify; Phoenix (AZ); On-site; USD 130,000 - 170,000; Full time

Job summary

Talentify in Phoenix, AZ, seeks a Senior Data Scientist to lead the design, development, and deployment of advanced analytics, ML, and AI-driven solutions that deliver measurable business value. You will independently manage complex initiatives from concept to production, mentoring teammates and partnering with stakeholders to communicate insights.

The ideal candidate has deep statistical expertise, strong engineering practices, and business acumen to deliver scalable, production-ready

Qualifications

• Bachelor's degree in a quantitative field.
• 5+ years with Python and SQL for analytics and AI in cloud environments.
• Experience with large-scale datasets and complex analytics projects.
• 5+ years developing and applying ML/AI models.
• Must reside in the Phoenix metro area and work onsite.

Responsibilities

• Design and deploy advanced statistical, predictive, ML, and AI models.
• Establish evaluation frameworks and monitoring for models.
• Collaborate with leaders to identify analytics opportunities.
• Translate analyses into actionable insights for technical and non-technical audiences.
• Connect metrics to analytics solutions delivering measurable outcomes.
• Mentor data scientists and cross-functional teams.
• Develop reusable AI components for scalable solutions.
• Deploy solutions with engineering and data teams in production.

Skills

Python

SQL

Generative AI

MLOps

Cloud computing

Git

Education

Bachelor's degree in Statistics/Math/CS/Engineering/Info Mgmt

Master's degree preferred

Tools

Snowflake

AWS

Git

Cursor

Claude Code

Job description

Talentify in Phoenix, AZ, seeks a Senior Data Scientist to lead the design, development, and deployment of advanced analytics, ML, and AI-driven solutions that deliver measurable business value. You will independently manage complex initiatives from concept to production, mentoring teammates and partnering with stakeholders to communicate insights.

The ideal candidate has deep statistical expertise, strong engineering practices, and business acumen to deliver scalable, production-ready