Data Scientist

• Research, design and build advanced data science solutions to address ESG-related challenges (e.g., company carbon emissions estimations, ESG data extraction from company filings).
• Collaborate with engineering and operations teams to deploy robust and scalable models, pipelines, and user interfaces.
• Maintain and enhance existing methodologies and codebases to add new features and improve quality.
• Stay on top of the latest R&D in data science, NLP, competitor offerings, and sustainable finance.
• Advise internal and external partners on knowledge of SFI models as a Subject Matter Expert (SME).
• Identify and assess data sources, as well as develop data queries needed by projects.
• Analyze data and identify patterns to ensure practical, customer focused and production-ready designs.
• Integrate internal and external data sources into end-to-end pipelines for solution development.
• Collaborate with cross-functional team members across research, engineering and operations to drive successful project outcomes.
• Provide technical leadership in project planning, deliverable scoping and solution architecture.
• Proactively identify potential risks and issues, and engaging collaborators to develop and implement mitigation strategies.
• Effectively communicate complex analyses and insights to both technical and non-technical audiences through clear reports, visualizations and presentations.

Data Scientist, SFI Research

Senior Data Scientist – Customer Insights