Lead the development of advanced statistical, machine learning, and AI solutions that support strategic and operational decision-making.
Apply domain and business expertise to translate complex problems into well-defined analytical approaches and scalable solutions.
Design and oversee end-to-end data science workflows, including data extraction, validation, modeling, deployment, and performance monitoring.
Integrate data from multiple internal and external sources to produce modeling-ready datasets and reusable data assets.
Build predictive and prescriptive models to explain outcomes, forecast behavior, and identify risk or opportunity.
Play a lead role in embedding analytics and AI solutions into existing business processes through automation and system integration.
Partner with data engineering, IT, and business teams to ensure solutions meet architectural, security, and quality standards.
Provide technical leadership across data science initiatives, ensuring consistency with agreed-upon methodologies and quality attributes.
Communicate analytical results and implications clearly to leaders, enabling informed decision-making.
Coach and mentor less experienced data scientists; provide guidance on prioritization, approach, and technical execution.
Ensure adherence to responsible AI standards, including privacy, bias mitigation, and ethical use of employee data.
Maintain awareness of emerging analytics and AI techniques and evaluate applicability to enterprise use cases.

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.

Senior Data Scientist – AI, People Analytics

Key skills