Data Scientist People Data Analytics & Insights

At Syngenta Group, we're a global community of 56,000 innovators across 90 countries, united by a 250-year legacy of agricultural excellence. As the world's most local agricultural technology partner, we create tailor-made solutions that transform farming while protecting our planet, driven by our commitment to innovation, ethics, and integrity. Through our inclusive environment and diverse perspectives, we pioneer breakthrough solutions for farmers, society, and future generations. Join our worldwide teams of agricultural pioneers in creating a more resilient and equitable food system for all.

At Syngenta, our goal is to build the most collaborative and trustworthy team in agriculture, providing top-quality seeds and innovative crop protection solutions that improve farmers' success. To support this mission, Syngenta is seeking a Data Scientist People Data Analytics & Insights

We are seeking a highly analytical and business-focused Data Scientist to join our People Analytics & Insights team. In this role, you will leverage advanced analytics, machine learning, and statistical modeling to uncover insights from workforce data, supporting strategic talent decisions across the organization. You will partner closely with HR, Talent Management, and business leaders to deliver data-driven solutions that enhance employee experience, improve workforce planning, and inform diversity, equity, and inclusion (DEI) strategies.

Key Responsibilities:

• Analyze large and complex HR datasets (e.g., engagement, attrition, performance, compensation, hiring) to uncover trends, patterns, and opportunities for business impact.
• Build predictive and prescriptive models (e.g., attrition risk, career pathing, workforce segmentation) to support data-informed people strategies.
• Translate business problems into analytical questions and communicate findings in clear, actionable terms to non-technical audiences.
• Develop visualizations, dashboards, and storytelling tools to enhance insight delivery (e.g., in Tableau, Power BI, Workday Discovery Boards).
• Partner with HR stakeholders to identify KPIs, define success metrics, and improve people-related decision-making through data.
• Design and implement surveys, experiments (A/B testing), and causal inference models to evaluate the impact of HR programs and initiatives.
• Ensure ethical data use and compliance with privacy and governance standards.
• Stay current on industry best practices in people analytics, data science, and AI/ML in HR.

• Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Industrial/Organizational Psychology, Economics, or a related field.
• 3-5+ years of relevant experience in data science, analytics, or a similar role, ideally within HR or workforce analytics.
• Advanced proficiency in technical skills for data manipulation and statistical modeling (Python, R, PySpark, SQL etc.) Strong SQL skills for data extraction and manipulation.
• Experience with Databricks, AWS (Sagemaker. Glue etc.), Azure, GCP.
• Experience with data visualization tools (e.g., Tableau, Power BI, Workday Discovery Boards).
• Solid understanding of machine learning algorithms, statistical modeling, and hypothesis testing.
• Experience in advanced DS skills: NLP, Deep learning, LLMs, MLOps etc.
• Exposure to cloud-based data platforms (e.g., AWS, GCP, Azure).
• Excellent communication skills, with the ability to explain complex analytical concepts to HR and business audiences.

Preferred Skills:

• Knowledge of DEI analytics and workforce diversity measurement.
• Familiarity with Workday, SAP SuccessFactors, or other HRIS platforms is a plus.
• Understanding of HR functional areas like talent acquisition, performance management, and learning & development.

Key Competencies:

• Analytical Thinking & Problem Solving
• Business Acumen & Strategic Mindset
• Data Storytelling & Visualization
• Collaboration & Stakeholder Management
• Data Ethics & Privacy Awareness

Note: Syngenta is an Equal Opportunity Employer and does not discriminate in recruitment, hiring, training, promotion or any other employment practices for reasons of race, color, religion, gender, national origin, age, sexual orientation, gender identity, marital or veteran status, disability, or any other legally protected status

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