Sr. Advanced Data Scientist leveraging advanced analytics and data science at Honeywell. Developing solutions for business growth and operational efficiency in the Atlanta office.
LG
Hybrid Data Scientist, SFI Research
Posted 5 months ago
About the role
- Senior Data Scientist driving research and development for advanced data science solutions in Sustainable Finance. Collaborating with cross-functional teams to deliver practical, production-ready solutions addressing ESG-related challenges.
Responsibilities
- 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.
Requirements
- Bachelor, Master or Ph.D. degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
- Minimum 5 years’ working experience as a Data Scientist or similar roles, with emphasis on machine learning, NLP or advanced analytics.
- Strong coding skills with track record of delivering data science solutions in commercial products or platform.
- Bonus: Research experience in machine learning, NLP or ESG.
- Bonus: Work experience in financial industry or ESG-related projects.
Benefits
- Flexible working arrangements
- Exposure to international teams
- Training and opportunities to grow within the company
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Location requirements
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