Data Scientist, People Analytics Insights

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. You will design and build robust data models to support workforce planning, talent management, and organizational effectiveness. Additionally, you will apply machine learning (ML) and artificial intelligence (AI) techniques to identify patterns and predict outcomes related to employee engagement, retention, and performance. Conducting advanced data mining and pattern analysis to surface trends and anomalies in workforce behavior and organizational dynamics will also be a key responsibility. Collaboration with cross-functional teams, including HRBPs, IT, and business leaders, to implement data-driven solutions into products and service offerings is essential. Moreover, ensuring data integrity, privacy, and ethical use of employee data in all analytics initiatives is crucial. The ideal candidate should have a university degree in a quantitative field (e.g., Statistics, Computer Science, Economics, Psychology) or an equivalent combination of education and experience. A minimum of 6 years of experience in data science, preferably with a focus on people analytics or HR-related domains, is required. Proficiency in Python, R, SQL, and data visualization tools (e.g., Power BI, Tableau) is necessary. Experience with cloud-based data platforms and ML frameworks is also expected. Strong communication skills and the ability to translate complex findings into business-relevant insights are essential for this role.,