Data Science Manager, HR Analytics

- Direct and guide data scientists and analysts in crafting advanced statistical models and algorithms to address business challenges - Enhance our data science practices by integrating best practices in model development, validation, and deployment with various business units - Collaborate with senior leaders and cross-functional teams to set strategic objectives, identify key performance indicators, and prioritize projects for actionable insights - Clearly convey complex, data-driven insights to diverse audiences, facilitating understanding and support from stakeholders - Oversee team management, including resource planning and executing complex modeling projects while partnering with analytics and engineering leaders - Guide the team in analyzing extensive datasets to derive actionable insights and present findings using effective visualization techniques - Review complex analyses and code to ensure accuracy, scalability, and ethical considerations - Promote ongoing improvements in data quality and governance by working with relevant stakeholders across the organization - Manage the lifecycle of advanced statistical techniques and models - Facilitate resource planning and forecasting for initiatives, ensuring alignment with organizational goals - Mentor teams on innovative data science methods, encouraging a culture of experimentation and curiosity - Research and implement new data science technologies and methodologies to boost team capabilities and foster innovation