As a Data Scientist within the People Analytics team, you will lead and contribute to all phases of workforce analytics projects—from data acquisition and modeling to advanced analysis and implementation. Your work will directly support strategic decision-making across the employee lifecycle by uncovering actionable insights from complex, large-scale people data.
Key Responsibilities:
- Design and build robust data models to support workforce planning, talent management, and organizational effectiveness.
- Apply machine learning (ML) and artificial intelligence (AI) techniques to identify patterns and predict outcomes related to employee engagement, retention, and performance.
- Conduct advanced data mining and pattern analysis to surface trends and anomalies in workforce behavior and organizational dynamics.
- Collaborate with cross-functional teams—including HRBPs, IT, and business leaders—to implement data-driven solutions into products and service offerings.
- Ensure data integrity, privacy, and ethical use of employee data in all analytics initiatives.
Qualifications:
- University degree in a quantitative field (e.g., Statistics, Computer Science, Economics, Psychology) or equivalent combination of education and experience.
- Minimum 6 years of experience in data science, preferably with a focus on people analytics or HR-related domains.
- Proficiency in Python, R, SQL, and data visualization tools (e.g., Power BI, Tableau).
- Experience with cloud-based data platforms and ML frameworks.
- Strong communication skills and the ability to translate complex findings into business-relevant insights.
