Senior AI & Data Scientist - Lead Gen AI & MLOps On-site

Charles Schwab; Southlake (TX); On-site; USD 150,000 - 230,000; Full time

Benefits offered by this job

401(k) with company match

Paid time for vacation and sabbatical

Paid parental leave and familyBenefits

Tuition reimbursement

Health, dental, and vision insurance

Job summary

Charles Schwab is seeking a Senior AI & Data Scientist to lead a team delivering advanced analytics, ML, generative AI, and data science solutions. You will collaborate across business, product, engineering, risk, and operations to define AI roadmaps and scale AI deployments.

The role emphasizes responsible AI, governance, MLOps, and enterprise deployment, with a strong focus on mentorship, strategic thinking, and stakeholder influence.

Qualifications

• Bachelor's degree in a quantitative field (CS/DS/Math/Engineering)
• 8+ years in Data Science, ML, AI or Advanced Analytics
• 3+ years as a technical SME with mentorship and code reviews
• 3+ years designing and deploying ML/AI solutions in production
• Experience with ML, NLP, Generative AI; proficiency in Python/SQL
• Experience translating business requirements into scalable data-driven solutions
• Leading cross-functional projects and delivering complex initiatives
• Strong analytical thinking, problem-solving, and stakeholder management

Responsibilities

• Lead and develop a team of AI and Data Science professionals
• Partner with business, product, engineering, risk, and ops teams to define AI roadmaps
• Move high-impact solutions from concept to production
• Evaluate emerging technologies and enterprise AI strategy
• Establish scalable practices for responsible AI, governance, MLOps and deployment

Skills

Python

SQL

AI/ML frameworks

Mentorship

Stakeholder management

Project leadership

Education

Bachelor's degree in Computer Science / Data Science / Mathematics or related quantitative field

Tools

TensorFlow

PyTorch

Scikit-learn

Job description

Charles Schwab is seeking a Senior AI & Data Scientist to lead a team delivering advanced analytics, ML, generative AI, and data science solutions. You will collaborate across business, product, engineering, risk, and operations to define AI roadmaps and scale AI deployments.

The role emphasizes responsible AI, governance, MLOps, and enterprise deployment, with a strong focus on mentorship, strategic thinking, and stakeholder influence.