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Position: Data Scientist-People Analytics 
Education:   Graduate/ MBA/ M.Sc (Mathematics/Statistics/Economics/Operations Research)
 
Job summary
Looking for a high-caliber experienced professional with a focus on using advanced analytics tools and techniques to:

• Develop data driven analytics framework to solve people related business problem of an organization
• Collaborate with HR team members and external stakeholders to understand their business outcomes and provide them with relevant data-driven insights.
• Develop predictive and prescriptive models using the most appropriate AI/ML algorithms to identify trends, patterns and forecast outcomes related with workforce optimization and workforce sourcing and strategy 
• Drive the Talent analytics agenda with the business

 
Key responsibilities

• Maintain strong business relationships with key stakeholders (including the Executive Layer), to keep on the pulse of what is important to leadership and build relevant analysis and interpretation.
• Continuously improve existing HR data inventory through appropriate data quality check and rectify the data quality issues.
• Build dashboards, analyse trends, and communicate results that drive the organization to action.
• Identify appropriate use cases in workforce domain (eg: Attrition model, employee lifetime value, Cost optimization and increase profitability etc) , create Data driven analytics framework and subsequent development of AI/ML models to solve such problems.
• Report the data insights to stakeholders and team leadership in layman’s language
• Model deployment / Monitoring/tweaking at appropriate time periods
• Drive automation in the People analytics ecosystem

Qualifications, experience, skills

• Batchelors/Master’s degree (Mathematics/Statistics/Econometrics/Operations Research) or MBA
• Manage project lifecycle with stakeholders to understand requirements, assess complexity, determine timelines, and deliver.
• Excellent analytical, critical thinking and problem-solving skills.
• Strong Excel skills, including pivots, vlookups, conditional formatting etc 
• Experience in mining large amount of data-both structured and unstructured- for quality check, data transformation data preparation for further analysis
• Excellent programming skills in one of the programming skills to handle large data (Python/R/SAS)
• Experience with data management and visualization tools such as SQL, Power BI, Tableau, Python, Pandas, NumPy
• Knowledge of statistical tools (Hypothesis testing, Correlation& Regression, Clustering algorithms, Time series forecasting, etc)
• Experienced in building predictive and prescriptive models using statistical techniques, ML algorithms and Optimization techniques (Linear/Non linear/Integer programming)
• Experienced in Model deployment (OnPrem/Cloud) and Model maintenance
• Experience in employee pulse survey analysis/ experience survey analysis and employee sentiment analysis using Natural Language Processing (NLP) techniques
• Develop meaningful and accurate stories using data insights
• Basics of GenAI
• Knowledge of Big Data businesses and technical concepts
• Experience of working with Technology Partners (Software Vendors, System Integrators) in the data & GenAI & AI/ML space

EY | Building a better working world 

 
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