JOB PURPOSEThe purpose of the HR Data Scientist role is to leverage data analytics and statistical methods to enhance human resource functions and support informed decision-making processes. The candidate will be responsible for conducting comprehensive data analytics, predictive modelling, sentiment analysis, reporting automation, and data visualization and presentation. The HR Data Scientist will analyse and interpret HR data to uncover valuable insights that empower the organization to make strategic workforce decisions, particularly in enhancing talent recruitment, development, and retention strategies. This role supports various HR teams in HR data analysis and involves collaboration with various institutions under NHG. Additionally, the candidate will explore innovative AI solutions to optimize HR processes and share data analysis knowledge and new technologies with HR colleagues.MAJOR DUTIES & RESPONSIBILITIES1. HR Data Analyticso Conduct comprehensive HR data analytics and predictive modellingo Perform sentiment analysis and uncover actionable insightso Identify trends and insights to improve HR strategies, policies, and programs2. HRIS Reporting and Automationo Perform complex data manipulation and aggregation from multiple HR data sourceso Create data visualizations, interactive dashboards, and reports for HR leadershipo Automate reporting processeso Collaborate with other institution representatives for NHG group reporting3. HR Projectso Provide project support and management of HR Projects4. AI Exploration and Implementationo Research and propose AI solutions to optimize HR processeso Collaborate on AI integration and evaluationJOB REQUIREMENTS(a) Education/Training/Experience1. Degree Holder in Data Science, Statistics, Business Analytics, Mathematics, Computer Science or relevant majors2. Solid understanding of Statistical Analysis/Machine Learning principle3. Ability to perform descriptive, diagnostic, predictive and prescriptive analytics across large data sets4. Experience in advanced statistical methods around machine learning, and text mining5. Proficient with statistical programming language Python and R6. In-depth experience with Microsoft Excel7. Knowledge of RPA tools such as Uipath will be considered favourably8. Strong presentation skills and ability to communicate complex data insights to non-technical audiences9. Experience in building interactive dashboards using tools such as Tableau, Power BI, or similar(b) Personal Attributes1. Strong analytical and problem-solving skills2. Excellent interpersonal and communication skills3. Strong attention to details4. Ability to maintain confidentiality5. Self-starter, resourceful, highly motivated, team player6. Ability to work independently and proactively
