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MISSION:
The People Data Scientist is a professional working in the HR department, who can apply statistical theory and methods to collect, interpret, and summarize HR data.
He/She is working with large and complex datasets to derive insights and recommendations that will inform strategic HR decisions.
He/She will collaborate with HR business partners, analysts, and other stakeholders to develop and implement data-driven solutions that improve the effectiveness of our HR programs and initiatives.
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
Office : The 9th Tower (MRT Rama 9)
Hybrid Working Poli
** Only shortlisted candidates will be contacted **