Principal - People Data & Analytics Specialist - AI/ML

About the Role

Key Responsibilities

• Design, build, and deploy predictive and prescriptive models to optimize talent acquisition, performance management, engagement, and retention.
• Implement machine learning algorithms to forecast workforce trends (e.g., attrition, career velocity, skill evolution).
• Develop and operationalize natural language processing (NLP) solutions for sentiment analysis of employee feedback, surveys, and communications.
• Identify and integrate AI-driven tools that can be embedded into core People & Places platforms.
• Translate technical analyses into clear, actionable insights for leaders across the organization.
• Build data visualizations and dashboards that make complex analytics approachable and compelling.
• Partner with People & Places stakeholders to ensure solutions align with business priorities.
• Work closely with P&P, business leaders, and technology partners to define analytical requirements.
• Collaborate with other analytics teams to share best practices, methods, and tools.
• Act as an AI/ML subject matter expert for people analytics initiatives.
• Stay ahead of emerging AI, ML, and advanced analytics trends relevant to P&P and organizational science.
• Evaluate and pilot new technologies, frameworks, and algorithms to enhance insights.
• Review updates to active AI/ML models and dashboards, investigate anomalies, conduct exploratory data analysis, refine model requirements, build and validate machine learning pipelines, prepare visualizations, and research new AI techniques or tools.

Requirements

• 8+ years of experience in people data, workforce analytics, or related advanced analytics roles.
• Demonstrated expertise in AI and ML, including practical implementation of algorithms and models in production environments.
• Proficiency in programming languages such as Python or R, with strong experience in data wrangling, modeling, and visualization.
• Strong applied experience with predictive analytics, NLP, and sentiment analysis techniques.
• Ability to work independently in ambiguous, fast-paced environments and deliver impactful outcomes.
• Exceptional storytelling and communication skills to convey technical findings to non-technical audiences.
• Bachelor's degree in Data Science, Statistics, Computer Science, or a related field; Master's preferred.

Nice to Have

• Experience with transformer models for sentiment analysis.
• Experience pushing the boundaries of AI and ML applications in HR or organizational science.
• Experience working with cross-functional teams on analytics strategy.

Qualifications

• Bachelor's degree in Data Science, Statistics, Computer Science, or a related field.
• Master's degree preferred.

Benefits & Perks

• Competitive compensation package with a strong pay for performance rewards approach.
• Base pay range in the Bay Area California: $216,000 - $292,500.
• Eligibility for cash bonus, equity rewards, and benefits in accordance with company plans.
• Work environment that values ongoing pay equity and regular comparisons across categories of ethnicity and gender.