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Vice President of Data Science

Fidelity Investments

Salary not specified
Sep 18, 2025
Boston, MA, US
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Fidelity Labs seeks to build innovative technology for financial services, with an expertise in artificial intelligence to accelerate growth, by leading the data science strategy and roadmap

Requirements

  • Hands on expertise in data extraction, cleaning, and preparation; feature extraction; model training and evaluation; model deployment
  • Experience building analytics, as well as leveraging large language models, to deliver useful insights from large datasets
  • Hands On Experience with Data Science, ML, AI, and LLM tools (examples: Sagemaker Python, Scikitlearn, SQL, Bedrock, OpenAI)
  • MS/PhD in data science, statistics or similar quantitative field
  • Senior level practical data science experience in the financial or similar domain
  • Experience in delivery of data science to a product
  • Proven experience building analytics

Responsibilities

  • Lead the data science strategy and roadmap
  • Design, implementation, testing and delivery of solutions that are reinventing how financial services firms market and sell their solutions
  • Develop solutions understanding business objectives
  • Deliver data science to a product, ideally at a startup, lab or early stage company, in the field of AI-driven personalization, financial services, marketing and/or business development
  • Build analytics, as well as leverage large language models, to deliver useful insights from large datasets
  • Data extraction, cleaning, and preparation; feature extraction; model training and evaluation; model deployment
  • Collaborate with the product and development teams

Other

  • Strong, proven, communication, collaboration and leadership skills
  • Prior leadership experience understanding business objectives and developing solutions
  • Ability to communicate/convince other senior leaders of plans and progress
  • Ability to lead a team to accomplish a plan, in an agile and collaborative environment
  • MS/PhD in data science, statistics or similar quantitative field, plus 5 or more years senior level practical data science experience