Data Scientist – People Analytics & Data Quality

Description

Summary: This role transforms personnel data into actionable insights, dashboards, and scalable analytics solutions to support data-driven workforce decisions. Highlights: 1. Lead complex, cross-functional people analytics initiatives 2. Own data quality strategy and advanced analytics solutions for HR domains 3. Act as a trusted analytics advisor to senior HR and business stakeholders **Work Schedule** Standard (Mon\-Fri)**Environmental Conditions** Office**Job Description** ### **Position Summary** ### **The Data Scientist – People Analytics \& Data Quality is responsible for ensuring accurate, consistent, and well\-governed personnel data and transforming it into insights, dashboards, and scalable analytics solutions. The role supports HR Business Partners (HRBPs) and business leaders by enabling data\-driven workforce decisions through automation, advanced analytics, and AI\-enabled use cases.** ### **This role partners closely with HR, IT, and People Analytics stakeholders and plays a key role in improving trust in HR data while expanding analytical maturity across the organization.** ### **Scope \& Impact** * ### **Leads complex, cross\-functional people analytics initiatives with broad business impact.** * ### **Owns data quality strategy, advanced analytics solutions, and automation design for multiple HR domains.** * ### **Acts as a trusted analytics advisor to senior HR and business stakeholders.** ### **Key Responsibilities** * ### **Own and drive the quality, consistency, and governance of personnel data across HR systems and analytics platforms.** * ### **Define and implement data quality frameworks, validation rules, and reconciliation processes to ensure trusted HR data.** * ### **Design, maintain, and evolve scalable workforce data models integrating multiple HR data sources (e.g., HCM, ATS, LMS).** * ### **Lead the development of advanced dashboards and self\-service analytics solutions for HRBPs and business leaders.** * ### **Translate complex and ambiguous business and workforce questions into structured analytical approaches and actionable insights.** * ### **Identify, design, and implement automation solutions to streamline HR reporting, data preparation, and recurring analyses.** * ### **Lead AI\-enabled and advanced analytics use cases (e.g., attrition prediction, workforce forecasting, skills and mobility insights).** * ### **Act as a trusted analytics advisor to senior HR and business leaders, influencing decision\-making through data storytelling.** * ### **Partner with HR, HRIS, IT, and data governance teams to align analytics solutions with enterprise data architecture and standards.** * ### **Mentor and provide technical guidance to junior data scientists or analysts within People Analytics.** * ### **Ensure responsible, ethical, and compliant use of employee data in line with privacy, security, and regulatory requirements.** * ### **Continuously improve people analytics capabilities, standards, and best practices across the organization.** ### **Knowledge, Skills \& Experience** * ### **Bachelor’s or Master’s degree in a quantitative field.** * ### **Typically 4\+ years of experience in data science, advanced analytics, or people analytics.** * ### **Advanced proficiency in SQL and Python/R, including automation and modeling.** * ### **Strong experience with BI tools and data visualization best practices.** * ### **Proven experience applying machine learning or advanced statistical techniques.** * ### **Deep understanding of HR data, governance, and employee data privacy.** * ### **Strong influencing and stakeholder management skills.** ### **Critical Success Factors** * ### **High trust in HR data through strong quality and governance practices.** * ### **Scalable, automated analytics that reduce manual effort.** * ### **Clear, actionable insights that support workforce decisions.** * ### **Effective collaboration across HR, IT, and business teams.** * ### **Alignment with Thermo Fisher’s values:** **Integrity, Intensity, Innovation, and Involvement****.**