He/She Is Responsible For
- Analyze large, complex datasets related to HR, such as employee demographics, performance, compensation, and engagement data.
- Develop predictive models to identify trends and patterns, forecast outcomes, and inform HR decisions.
- Design and implement experiments to test the effectiveness of HR initiatives and programs.
- Create data visualizations and dashboards to communicate insights and recommendations to HR and business leaders.
- Designing, building and automating all steps of Machine Learning (ML) industrialization workflow
- Automating business use cases and building integrated AI/ML systems to continuously operate it in production by collaborating with product/project managers and other stakeholders.
- Collaborate with HR business partners, analysts, and other stakeholders to identify opportunities for data-driven improvements in HR processes and programs.
- Stay up-to-date on the latest developments in data science, HR analytics, and technology, and leverage this knowledge to drive innovation and continuous improvement in HR.
- Ensure data quality, accuracy, and completeness in all analyses and reports.
- Work with IT, Security and other stakeholders to ensure the security, privacy, and compliance of HR data and analytics.
Key Expected Achievements
Business understanding & Solution implementation
- Analyzing large amounts of data to identify trends and patterns, and to generate insights that help inform HR strategies.
- Creating clear and concise visualizations of data to help stakeholders understand complex information and insights.
- Developing predictive models that help HR departments anticipate workforce trends and patterns, such as turnover rates, employee engagement, and retention.
- Identifying opportunities to automate or streamline HR processes through the use of data and technology.
Quality/Capitalization
- Ensuring that data is accurate, consistent and reliable to enable data-driven decision making.
- Building strong relationships with stakeholders across the organization, including HR business partners, department heads, and senior leadership.
- Staying up to date with the latest developments in data science, and exploring new ways to apply data and technology to HR challenges.
- Demonstrating the impact of data-driven HR strategies on the organization's bottom line, such as cost savings, improved retention rates, and increased employee engagement.
- Possessing the technical skills required to work with data, such as data mining, statistical analysis, machine learning, and programming languages.
- Communicating complex technical information to non-technical stakeholders in a clear and concise manner, and collaborating effectively with cross-functional teams
Requirements
- Bachelor’s or Master’s degree in data scientist, computer science, engineering, statistics, or related fields
- 3-5 years experience in Data Scientist, Data Mining, Statistics and Machine Learning methods
- Experience in Power BI/SQL, Power Automate, Power Apps
- Experience in AI & Automation Tools: AI, Machine learning, robotic process automation (RPA)
- Strong analytical skill and decision-making skill
- Strong program and project leadership skill
- Excellent in communication, collaboration and teamwork
- Fluent in English
