Data Scientist – HR Data Analytic

Job Overview

Our HR Analytics team is looking for a Junior Data Scientist with a strong foundation in AI/ML and data engineering concepts along with a good working knowledge of advanced analytics solutions. You will be responsible for designing and building analytical solutions using a variety of AI/ML, statistical and mathematical modelling concepts to uncover HR insights. Your role includes developing proof-of-concepts, creating visualizations, and partnering with other team members to optimize and advance the processes. You will collaborate closely with HR professionals and global teams to provide actionable data-driven insights that enhance our HR processes and decision-making.

Key Responsibilities

• Design and develop analytical solutions using AI/ML algorithms and statistical/mathematical models.
• Visualize data insights using Excel and BI tools (e.g., Power BI).
• Create and maintain data models/pipelines to support HR analytics and insights.
• Perform in-depth data analysis to generate meaningful HR insights and reports for stakeholders.
• Collaborate with the global HR analytics team to understand requirements and translate them into data solutions.
• Ensure data accuracy, consistency, and security across all HR data models and pipelines.
• Continuously optimize and improve HR data models and processes for better performance.

Required Qualifications

• Bachelor's or Master's degree in a Technical Domain (e.g., Computer Science, Data Science, Statistics).
• Minimum of 5 years of experience in Data Analytics, with a focus on HR analytics preferred.
• Strong proficiency in Advanced analytics, Programming (Python/R), Data Modelling, Data pipeline development, Power BI, SQL, and MS Excel.
• Excellent analytical skills and attention to detail.
• Strong communication skills, capable of explaining complex data concepts to HR and business stakeholders.

Preferred Qualifications

• Experience working in HR analytics or related fields.
• Familiarity with cloud-based data platforms and tools.
• Experience working with global teams in a collaborative environment.