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Thermo Fisher Scientific

Data Scientist, People Analytics

Sao Paulo, Brazil
SQL Python R Machine Learning
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Description

Data Scientist – People Analytics & Data Quality

Location: Sao Paulo, São Paulo, Brazil

Category: IT, Data & Tech

Employment Type: Full time

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.

Thermo Fisher Scientific
Thermo Fisher Scientific

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