This is an individual contributor data science role focused on leading machine learning projects that address complex business and technical challenges. The team operates within the Quantitative Research and Investment Technology division, collaborating with various investment professionals to develop AI/ML solutions that drive measurable value. The role emphasizes taking models from research to production while ensuring clear communication of results to stakeholders. The team values collaboration and continuous learning, particularly in applying state-of-the-art ML research to real-world data challenges.

• PhD or Master's in ML, Computer Science, Statistics, Physics, or Finance with a background in Statistics or ML.
• 6+ years of industrial experience in data science.
• Deep expertise in Python and data-centric ML techniques.
• Experience in taking a model from research to production.
• Ability to manage multiple projects simultaneously.
• Experience in guiding businesses on identifying AI/ML use cases.
• Excellent planning, project management, leadership, and research skills.
• Strong communication skills for conveying statistical findings.

• Lead machine learning projects with diverse scope and complex challenges.
• Coordinate with senior business and technology partners to develop solutions.
• Oversee the end-to-end process of pushing code from research to production.
• Deliver results with clear and measurable impact to the business.
• Consult with partners to identify priorities and establish analytic goals.
• Execute data identification, collection, and qualification activities.
• Present reports and findings to both technical and non-technical audiences.

• Fidelity offers competitive compensation, annual bonuses, retirement contributions, comprehensive healthcare coverage, parental leave, tuition assistance, wellness programs, and extensive professional development opportunities.