Technical Lead, Data Science

Fidelity Investments • Westlake, TX

4d

About The Position

The role is described as a hands-on senior individual-contributor position focused on applying AI to workforce challenges and developing intelligent products and experiences for Fidelity’s workforce intelligence platform. The position combines machine learning, software engineering, knowledge graphs, and generative AI to deliver scalable business solutions. The successful candidate partners closely with data scientists and engineers and directly designs, builds, and deploys production-grade AI capabilities.

The People Analytics and Insights organization uses data, analytics, and emerging technologies to support better decision-making at Fidelity. Its workforce intelligence platform connects workforce data, skills, experiences, organizational relationships, and AI capabilities to support associates, managers, and business leaders. The team partners with Human Resources, business leaders, and technology teams to deliver products, advanced analytics, and AI-powered solutions.

Fidelity will not provide immigration sponsorship for this position. Fidelity notes that its onsite working model is transitioning toward full-time onsite work through a phased regional and role-based rollout; current onsite expectations vary, may evolve, and do not apply to fully remote roles. The posting does not specify the onsite expectation for this particular position.

Requirements

• Deep expertise in machine learning and software engineering.
• Ability to translate complex business challenges into scalable AI solutions.
• Experience building and deploying machine learning solutions in production environments.
• Experience developing scalable applications and services using Python and modern software engineering practices.
• Bachelor’s degree or equivalent experience in Engineering, Computer Science, Mathematics, Statistics, Physics, or another quantitative scientific discipline.

Nice To Haves

• Experience in workforce, talent, HR, or enterprise analytics domains.
• An advanced degree.

Responsibilities

• Design, build, and deploy production-grade AI capabilities.
• Build and deploy machine learning solutions in production environments.
• Apply embeddings, semantic similarity, recommendation systems, search technologies, and graph intelligence to business problems.
• Leverage large language models, retrieval-augmented generation, and emerging AI capabilities.
• Develop scalable applications and services using Python and modern software engineering practices.
• Design APIs and reusable AI services.
• Partner with engineering teams to deliver reliable and secure solutions.
• Work closely with data scientists and engineers to develop scalable AI solutions.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior