Lead Data Scientist - People Analytics

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 The Lead Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Lead Data Scientist works on problems of diverse scope and complexity ranging from moderate to substantial.

The Lead Data Scientist will analyze data from multiple sources including data lakes, internal and external sources, and data warehouses. Utilizing your expertise in predictive modeling, statistics, trend analysis, and a suite of other analytical techniques, to unearth, examine, and pinpoint the critical data necessary to decode behaviors, address a variety of organizational challenges, and construct compelling business cases. Your work will contribute to fostering a culture of innovation, enhancing employee experiences, and steering strategic decision-making across all organizational levels. Advises executives to develop functional strategies (often segment specific) on matters of significance. Exercises independent judgment and decision making on complex issues regarding job duties and related tasks, and works under minimal supervision, uses independent judgment requiring analysis of variable factors and determining the best course of action.

Key Roles and Responsibilities  

• Responsible for developing sophisticated data analytics models and reports, utilizing a range of tools including but not limited to Power BI and its AI capabilities, Power Apps, SQL, and SQL Server Reporting Services (SSRS), etc. 

• Excel in the collection, analysis, and interpretation of a diverse array of data to discover causal relationships, identify trigger points, and make informed predictions that will shape strategic HR initiatives and policies. 

• Employ your skills in time series forecasting to develop predictive models. Test these models beyond initial datasets and validate their effectiveness in real-world scenarios, ensuring they are robust and reliable. 

• Quantify the significance of data variances and employ a wide spectrum of statistical methods, from traditional techniques to innovative approaches within the Big Data realm, to support sound decision-making. 

• Create and deliver compelling reports, charts, tables, and other visual aids, utilizing your strong capabilities in communication, data storytelling, and presentation skills to effectively share findings and influence strategic directions 

Use your skills to make an impact
 

Required Qualifications

• Master's Degree and 4 years of experience
• 2 or more years project leadership experience
• Experience in using mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions
• Successful demonstrated experience in working on problems of diverse scope and complexity ranging from …