US E ES - Lead Data Scientist GenAI, Financial Planning & Analysis - Strategic Analytics
- Designing, developing, and deploying artificial intelligence, machine learning, and advanced analytics solutions for business stakeholders
- Building and maintaining scalable data pipelines, application programming interfaces, and model deployment workflows in cloud environments
- Partnering with finance, strategy, and operational teams to translate business requirements into technical solutions and actionable insights
- Supporting the development of generative artificial intelligence use cases, prototypes, and production-ready products aligned to strategic priorities
- Monitoring solution performance, maintaining technical documentation, and identifying opportunities to improve reliability, efficiency, and adoption
- Ability to work independently and collaborate as part of a team
- Effective written and verbal communication skills
- Meticulous attention to detail and quality of work product
- Ability to build and sustain professional relationships
- Ability to lead projects or workstreams
- Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
- Strong interpersonal skills and professional demeanor
- Ability to meet deadlines
- Ability to provide clear guidance to others
- Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, Finance, or a related field
- 4+ years of experience in data science, machine learning engineering, data engineering, or software engineering
- 3+ years of experience developing solutions using Python
- 2+ years of experience working with cloud platforms such as Amazon Web Services, Microsoft Azure, or Google Cloud Platform
- 2+ years of experience using Structured Query Language and working with relational or distributed data platforms
- Ability to travel 0-10%, on average, based on the work you do and the clients and industries/sectors you serve.
- Limited immigration sponsorship may be available.
- Master's degree in Computer Science, Data Science, Engineering, Statistics, or a related field
- Experience developing generative artificial intelligence or large language model solutions
- Experience with machine learning operations tooling and model deployment frameworks
- Experience building application programming interfaces or production data products
- Experience supporting finance, financial planning and analysis, or enterprise strategy use cases
- Experience with data visualization tools such as Tableau or Power BI
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