HR Data Scientist

IDEMIA; Dadri; On-site; INR 900,000 - 1,300,000; Full time

Job summary

IDEMIA is hiring for an HR Analytics role in India to transform workforce data into predictive models and actionable insights. The role partners with HRIS/IT to consolidate data from HR platforms, ensuring data quality and compliance while delivering dashboards for leadership and business stakeholders.

The candidate will design predictive models for attrition, hiring needs, and workforce trends, and will support strategic workforce planning with scenario analysis and skills gap insights.

Responsibilities

• Design and deploy predictive models to forecast attrition, hiring needs, and workforce trends.
• Analyze HR data (headcount, turnover, engagement, performance, compensation) to identify patterns and deliver insights.
• Support strategic workforce planning with scenario modeling and skills gap analysis.
• Measure and optimize recruitment funnels, time-to-hire, sourcing effectiveness, and quality of hire.
• Build and maintain self-service dashboards and KPIs for HR leadership and stakeholders.
• Define and monitor data quality standards across HR systems and work with HRIS teams to fix data issues.
• Collaborate with HRIS and IT to consolidate data from SuccessFactors and other platforms into a reliable analytics environment.
• Ensure compliance with privacy policies and apply responsible AI principles (bias detection, fairness, explainability).
• Translate HR/business questions into analytical approaches and communicate findings clearly to non-technical stakeholders.
• Identify opportunities for AI/ML and automation in HR processes to promote a data-driven culture.

Skills

Predictive modeling

Data visualization

Statistical analysis

Tools

Power BI

Job description

Job Description:

Purpose

This role partners with HRIS and HR teams to transform workforce data into predictive models, analytics, and actionable insights, enabling data-driven decisions on talent acquisition, retention, performance, and workforce planning, while ensuring data quality, privacy, and compliance across HR systems.

Key Missions

• Predictive modeling: Design and deploy models to forecast attrition, internal mobility, hiring needs, and workforce trends.
• Workforce analytics: Analyze HR data (headcount, turnover, engagement, performance, compensation) to identify patterns and deliver actionable insights.
• Workforce planning: Support strategic workforce planning with scenario modeling and skills gap analysis.
• Talent acquisition analytics: Measure and optimize recruitment funnels, time-to-hire, sourcing effectiveness, and quality of hire.
• Dashboards and reporting: Build and maintain self-service dashboards and KPIs (e.g., Power BI) for HR leadership and business stakeholders.
• Data quality and governance: Define and monitor data quality standards across HR systems, and work with HRIS teams to fix root causes of data issues.
• Data integration: Collaborate with HRIS and IT teams to consolidate data from SuccessFactors and other HR platforms into a reliable analytics environment.
• Privacy and ethics: Ensure that models and analyses comply with GDPR and internal policies, and apply responsible AI principles (bias detection, fairness, explainability).
• Stakeholder partnership: Translate business questions from HR and business leaders into analytical approaches, and communicate findings in clear, non-technical language.
• Innovation and continuous improvement: Identify opportunities for AI/ML and automation in HR processes, and promote a data-driven culture within the HR function.

Profile & Other Information

Requirements: