KA
KalderosDirector of Data Science
Director of Data Science at Kalderos overseeing data functions and mentoring teams while driving product development. Focus on improving healthcare pricing transparency with data analytics.
LG
Hybrid Data Scientist, SFI Research
Posted last month
About the role
- 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
IT
ILLUIN TechnologyData Science Manager
Data Science Manager leading high - level technical AI projects and mentoring a team of data scientists. Responsible for client projects, technical advice, and business development.
NU
Navy Federal Credit UnionAssistant Manager, Data Science – Capacity Planning
Assistant Manager in Data Science developing predictive models and analytics for organizational decision - making. Leading the data science team and ensuring model quality and integration into processes.
Assistant Manager - Data Science developing AI solutions using deep learning and LLMs. Working with computer vision techniques to extract content from various media.
CO
Data Scientist building machine learning models at Capital One to enhance decision accuracy and efficiency. Collaborating with data scientists, software engineers, and product managers across multiple projects.
AR
ArianeGroupData Scientist
Data Scientist responsible for implementing AI initiatives in aerospace industry at ArianeGroup. Collaborating with teams to enhance operational efficiency through AI and data management.
AM
AmoddexData Manager
Data Manager responsible for data management and analysis at Amoddex, a consulting firm in IT transformation.
OI
OLH Inc.Computer/Data Science
AI support engineer for Reactor Servicing Directorate at OLH Inc. Designing, developing, and implementing AI for enhanced information retrieval and safety documentation.
TY
TymeData Scientist
Data Scientist transforming raw financial data into intelligent experiences for customers. Collaborating with engineering teams to develop AI/ML solutions for behavioral analytics in fintech services.
Data Scientist developing machine learning models for marketing and risk decisions at Capital One. Collaborating cross - functionally to influence business strategies using data - driven insights.