Senior Data Scientist - AI & Analytics

Senior Data Scientist

We're looking for a Senior Data Scientist who can bridge the gap between our most important workforce and talent opportunities and what is possible with today's AI, machine learning, and advanced analytics capabilities. This highly visible role sits at the intersection of applied AI, data science, scalable data products, and people analytics. You will partner with HRBPs, Talent, Operations, IT, Legal, and data leaders to identify high-value opportunities, design practical solutions, build working prototypes, and help move validated ideas into production.

This is not a purely research-oriented data science role. We're looking for someone who can translate ambiguous talent and workforce challenges into clear problem statements, build tangible AI-enabled solutions that stakeholders can see and test, and partner across teams to ensure those solutions are responsibly deployed, adopted, and measured. You'll architect intelligent systems — not just models — using modern AI approaches such as LLMs, embeddings, RAG, agentic workflows, workflow automation, and predictive modeling.

You'll help shape the organization's AI roadmap for workforce and talent analytics while ensuring solutions are practical, scalable, secure, ethical, and aligned to business value. This role is ideal for someone who thrives in ambiguity, moves quickly from concept to prototype, exercises strong judgment about what is worth building, and can influence senior stakeholders through insight, technical credibility, and delivered outcomes.

Preferrable experience within HR/People Analytics domain.

• Bachelor's degree in a quantitative field required; advanced degree preferred.
• Minimum of 6 years of relevant analytical or data science experience.
• Demonstrated depth in multiple core data science disciplines (e.g., ML/statistics, data engineering, automation).
• Advanced SQL and data modeling experience across complex data environments.
• Proven ability to independently manage multiple initiatives and provide direction to others.
• Strong written and verbal communication skills.
• Experience working in regulated or complex operational environments preferred.
• Demonstrated leadership capability and a track record of delivering high-impact analytical solutions.

• Hands-on experience with modern AI approaches (LLMs, embeddings, RAG, etc.) Vector databases (e.g., FAISS, Chroma) and RAG architectures
• Git Hub (including Git Hub Copilot)
• Web app frameworks (e.g., Streamlit, Dash, FastAPI) for building analytics products

• Lead the design, development, and deployment of advanced statistical, machine learning, and AI solutions—including LLM-powered applications—to solve complex business, workforce, and organizational challenges.
• Translate ambiguous business and HR questions into well-defined analytical approaches, scalable data products, and decision-support tools.
• Design and oversee end-to-end data science workflows, including data extraction (e.g., enterprise data warehouses), validation, modeling, deployment, and performance monitoring.
• Integrate data from multiple internal and external sources to create modeling-ready datasets, reusable data assets, semantic layers, and metadata frameworks that enable scalable and self-service analytics.
• Develop and product ionize predictive and prescriptive models to explain outcomes, forecast behavior, and identify risks and opportunities.
• Build and deploy advanced AI solutions using modern frameworks (e.g., LLMs, embeddings, RAG architectures), and lead experimentation and rapid prototyping to evaluate emerging capabilities.
• Embed analytics and AI solutions into business processes through automation, system integration, and near real-time data capabilities.
• Partner with HR Business Partners, talent leaders, executives, data engineering, and IT teams to deliver actionable insights and ensure alignment with architectural, security, and data quality standards.
• Provide technical leadership across data science initiatives, ensuring consistency with best practices, methodologies, and quality standards.
• Communicate complex analytical insights and AI concepts…