Role OverviewThe Principal AI Scientist / Principal AI Engineer at MSCI is a high-impact, individual contributor role that sits at the intersection of advanced data science, machine learning, and product engineering. Operating within the core product teams, this leader directly shapes the algorithms powering the company’s multi-billion-dollar financial platform and products at MSCI.
What You Will Do
Algorithm & Model Development, Experimentation & Prototyping, Technical Leadership & Technical Rigor, Cross-Functional Influence & Mentorship
Why It Might Be a Fit
Experience: 10+ years of cumulative industry experience in a dedicated data science or machine learning capacity. Leadership Track Record: 3+ years acting as a technical lead, steering data science initiatives or managing delivery of mission-critical ML workflows.
Requirements
- 10+ years of cumulative industry experience in a dedicated data science or machine learning capacity
- 3+ years acting as a technical lead, steering data science initiatives or managing delivery of mission-critical ML workflows
- Expert-level proficiency across optimization paradigms (e.g., gradient methods, Bayesian optimization) and foundational ML frameworks
- Deep hands-on coding experience in big data environments using general-purpose languages like Python, Scala, Java, or R, alongside strong SQL capabilities
- Bachelor’s, Master’s, or Ph.D. in a highly quantitative discipline (such as Computer Science, Statistics, Mathematics, Operations Research, or Economics)
Benefits
- Salary range: $225,000 - $250,000 / year, plus eligible for annual bonus
- Transparent compensation schemes
- Comprehensive employee benefits
- Flexible working arrangements
- Advanced technology
- Collaborative workspaces
- Global Orientation program
- Access to Learning@MSCI platform, AI Learning Center, LinkedIn Learning Pro, and tailored learning opportunities for ongoing skills development
- Multi-directional career paths
- Professional growth and development through new challenges, internal mobility, and expanded roles
- Inclusion, belonging, and connection through eight Employee Resource Groups
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