Principal - Data and AI

Job Summary

This role is responsible for enabling innovation and creativity by bringing cutting-edge perspectives on adopting the latest data, AI, and machine learning modeling techniques. The role understands current complex business problems and future business strategy to assess, build, and deploy required data mining and modeling capabilities.

Responsibilities:

• Defines and implements AI solutions to create business value and innovation.
• Works with Data Science leaders to develop new innovative solutions to existing or new business challenges.
• Develops clear presentations for business stakeholders and managers.
• Manages relationships with business partners to evaluate and foster data-driven innovation, provide domain-specific expertise in cross-organization projects/initiatives.
• Leads organization-wide team or teams of other data science professionals in complex projects.
• Provides guidance, training, and mentoring to less experienced staff members.

Education & Experience Recommended:

• Master's or Ph.D degree in Mathematics, Economics, Physics, Computer Science, or equivalent.
• 10+ years of work experience, preferably in data analytics, statistical modeling, machine learning, AI, or a related field.
• Language/s certification (SQL, Python, or similar).

Knowledge & Skills:

• Proficiency in Python, PySpark, and SQL programming.
• Expertise in Databricks: Ability to design, develop, and optimize workflows in Azure Databricks for data processing and feature engineering.
• Understanding of NLP and GenAI concepts: Familiarity with large language models, prompt engineering for LLMs, vector databases, and retrieval-augmented generation (RAG) systems.
• Experience in applied statistics and algorithms, including predictive modeling and A/B test design.
• Ability to effectively communicate data insights and negotiate options at senior management levels.
• Strong analytical and problem-solving skills.
• Excellent written and verbal communication skills; mastery in English.
• Experience in deploying industry-grade setups from development to production-grade.
• Familiarity with CI/CD and observability (monitoring).

Cross-Org Skills:

• Team leadership
• Effective communication
• Results orientation
• Learning agility
• Digital fluency
• Customer centricity

Skills

AI, Databricks, Machine Learning, Python