Lead AI and Data Science Engineer II

Experteer Overview In this role you drive advanced analytics, AI, and GenAI solutions to inform talent strategy and workforce decisions. You lead research design, analytics; mentor junior data scientists across the lifecycle and partner with cross-functional stakeholders to translate workforce data into actionable insights. You will shape the People Analytics portfolio, build AI-enabled tools, and influence data quality and strategy at scale. This is a chance to shape high-impact, data-driven people decisions within a respected consulting firm. Compensation / Benefits * Lead the data science dimension of analytics work, including research design and solution development * Mentor junior data scientists across the analytics lifecycle * Partner with Talent, business, and ITS stakeholders to translate data into insights and tools * Develop strategy to improve data quality across Talent data assets * Design and structure analytics work, applying advanced statistical and ML methods * Develop full-stack GenAI applications and collaborate on ETL, pipelines, and CI/CD * Lead AI strategy and adoption of AI/data engineering tools within a complex organization * Oversee analytically complex projects and guide problem framing and data collection Tasks * Graduate degree in a quantitative discipline * 6+ years in data science, analytics, or applied research * Proficient in Python and SQL; working knowledge of JavaScript/TypeScript/HTML/CSS * Experience with multivariate statistics and ML methods (regression, SEM, factor analysis, etc.) in Spark or Databricks * Experience building AI/GenAI applications and ETL/pipeline design * Demonstrated leadership in AI strategy and adoption * Mentorship of junior/mid-level analysts across analytics lifecycle * Ability to travel 0-10% and legal authorization to work in the United States Key requirements * discretionary annual incentive program * broad range of benefits * professional development opportunities * inclusive culture * mentorship programs * workplace flexibility

the full-stack GenAI applications and collaborate on ETL, pipelines, and CI/CD * Lead AI strategy and adoption of AI/data engineering tools within a complex organization * Oversee analytically complex projects and guide problem framing and data collection Tasks * Graduate degree in a quantitative discipline * 6+ years in data science, analytics, or applied research * Proficient in Python and SQL; working knowledge of JavaScript/TypeScript/HTML/CSS * Experience with multivariate statistics and ML methods (regression, SEM, factor analysis, etc.) in Spark or Databricks * Experience building AI/GenAI applications and ETL/pipeline design * Demonstrated leadership in AI strategy and adoption * Mentorship of junior/mid-level analysts across analytics lifecycle * Ability to travel 0-10% and legal authorization to work in the United States Key requirements * discretionary annual incentive program * broad range of benefits * professional development opportunities * inclusive culture * aaaaaaa and programs * workplace flexibility