Business Understanding & Impact

• 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.

Data Preparation & Modeling

• Acquire, clean, and prepare large datasets for modeling.

• 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.

• Write efficient, maintainable code and ensure scalability for production environments.

• Implement prompt engineering, fine-tuning, and evaluation strategies for large language models and other foundation models.

Insight, Communication & Enablement

• Present findings to senior stakeholders using compelling storytelling and visualizations.

• Simplify complex ML/AI concepts for diverse audiences to drive understanding and adoption.

• Document best practices for AI application development and share knowledge across teams.

Collaboration & Consulting

• Act as a trusted advisor to internal teams and customers, ensuring solutions meet business needs.

• Promote responsible AI practices, including fairness, transparency, and explainability in model and application development.

• Stay current with emerging AI technologies, frameworks, and tools to continuously enhance solution capabilities.

Required/minimum qualifications:

• 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)

• OR 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)

• OR 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)

• OR equivalent experience.

Additional or preferred qualifications:

• 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)

• OR 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)

• OR 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)

• OR 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.

• Experience developing and deploying Agentic AI solutions
  
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