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## About the role
Own delivery of complex, high-impact data science and AI solutions for strategic consulting engagements. Collaborate with stakeholders to define business problems and translate them into actionable AI-driven solutions. Develop project plans, assess risks, and ensure alignment with strategic objectives and ethical AI principles. Identify opportunities to leverage generative AI for business transformation and innovation. Build and deploy predictive and prescriptive models using modern machine learning techniques. Design, develop, and integrate generative AI applications (e.g., text, image, multimodal) into client workflows and solutions. Implement prompt engineering, fine-tuning, and evaluation strategies for large language models and other foundation models.
## Requirements
- Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
- Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
- Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
- Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
- Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
- Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 7+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
- Equivalent experience.
- Proven consulting and stakeholder engagement skills with proven ability to influence decisions.
- Proficiency in Python and SQL; experience with cloud platforms (Azure preferred).
- Knowledge of Responsible AI principles and ethical data practices.
- Experience with broader software engineering lifecycle practices, including version control, testing, DevOps, and production deployment of Machine Learning (ML) solutions.
- Experience with AI-assisted coding practices and specification-driven development.
- 1 to 3 years of Consulting (including System Integrator, Technical Consulting or Management Consulting) experience.
## What we offer
- The typical base pay range for this role across the U.S. is USD $142,800 - $274,800 per year.
- There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year.
- Certain roles may be eligible for benefits and other compensation.
## About us
AIinfra Data Science IC5
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