Hiring: Vice President, Data Science Company: Fidelity Investments Location: Durham, NC Job Posted Time: 2026-09-10 11:24:03 Employment Type: Full-time / Remote Target Skills & Keywords : AI, AWS, LLM, MLOps, Machine Learning, Python, RAG, SQL, SageMaker About the job Experience: •12 years of experience in artificial intelligence, machine learning, advanced analytics, data science, or related fields. •Significant experience leading teams, programs, and organizational AI initiatives. •How Your Work Impacts the Organization •Fidelity is transitioning to a full-time onsite working model through a phased rollout across regions and roles. Currently, some roles and locations require 100% onsite presence, while others require less. Onsite expectations are likely to evolve as the rollout continues. This transition does not apply to fully remote roles. Required Skills: •Note: Fidelity will not provide immigration sponsorship for this position. •People management: Proven ability to mentor and coach data scientists on project delivery and long-term skill development. •Stakeholder and relationship management: Strong ability to translate business opportunities into AI-driven solutions that deliver measurable outcomes. •Cross-functional Collaboration: Partner with executive leadership, product, and engineering teams to integrate AI models into customer-facing products •Written and verbal communication skills: Ability to communicate complex AI concepts, risks, and opportunities to both technical and non-technical audiences. •AI Development: Expertise across the AI/ML lifecycle, including experimentation, feature engineering, model development, deployment, measurement, monitoring, and governance. •Modeling: Deep understanding of statistics, predictive modeling, recommendation systems, experimentation, causal inference, and optimization techniques. •GenAI: Experience evaluating, deploying, and governing generative AI solutions, including large language models, retrieval-augmented generation (RAG), AI agents, and multimodal AI systems. Qualifications: •Master's or PhD in Computer Science, Data Science, Statistics, Applied Mathematics, Engineering, or a related quantitative discipline. Compensation: •Flexible work environment (work from home / hybrid options) Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!