Workforce Planning Data Scientist - Remote

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* About the Role:

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* The Workforce Planning Data Scientist will turn complexrecruiting, staffing, workforce, and operational data into clear insights that enable better and faster business decisions.

This role blends data analytics, dashboard development,workforce forecasting, and foundational data engineering. The successful candidate will be comfortable working with large and complex datasets,reconciling information from multiple sources, developing scalable reporting solutions, identifying trends, and translating findings into practicalrecommendations for recruiting and workforce leadership.

While this is not a traditional Data Scientist or Data Engineer position, the role requires someone who can think beyond reportingwhat happened. The analyst should be able to determine why it happened, what islikely to happen next, and what actions should be considered as a result.

** What You'll Do:*
* ** Workforce Analytics & Decision Support*
* + Analyze workforce, recruiting, staffing,attrition, requisition, offer, start, and productivity data to identify trends,risks, and opportunities.

+ Evaluate staffing performance across sites,business units, roles, and time periods.

+ Analyze historical attrition patterns to identify where future hiring demand is likely to occur.

+ Develop models and recommendations that helpdetermine when and where requisitions should be opened proactively.

+ Identify trends across weekly, monthly,quarterly, and historical workforce performance.

+ Analyze relationships between staffing levels,attrition, hiring activity, requisition volume, recruiter productivity, andhiring outcomes.

+ Conduct ad hoc analyses in response to evolvingworkforce and leadership priorities.

** Forecasting & Predictive Analysis*
* + Build workforce forecasts incorporating staffing requirements, active headcount, attrition, projected starts, hiring velocity,and historical trends.

+ Identify emerging staffing risks before theymaterially impact operations.

+ Develop scenario analyses to evaluate differenthiring and attrition assumptions.

+ Identify leading indicators that can improveworkforce planning and recruiting decisions.

+ Assess whether workforce and recruitingperformance is trending toward or away from established targets.

** Dashboard Development & Visualization*
* + Design and maintain intuitive dashboards that translate complex datasets into clear, actionable information.

+ Develop reporting for staffing health, recruiterproductivity, requisition aging, time to offer, hiring outcomes, attrition,projected starts, and workforce demand.

+ Create leadership level views that allow usersto quickly understand performance, risks, trends, and required actions.

+ Continuously improve dashboards based on business needs and user feedback.

** Data Management & Engineering*
* + Work with multiple data sources and largedatasets that may contain hundreds of thousands to millions of records.

+ Clean, transform, combine, and structure datafor analysis and reporting.

+ Understand data pipelines, relationships, joins,data models, and source/system dependencies.

+ Partner with Data Engineering and BI resourceson more complex data architecture and pipeline requirements.

+ Automate repeatable reporting and data preparation processes when practical.

+ Troubleshoot data inconsistencies and reconcileconflicting numbers across systems

** Data Quality & Governance*
* + Validate and reconcile workforce metrics before they are used for business decisions.

+ Identify data quality issues, missing information, duplicate records, inconsistent definitions, and source/systemdiscrepancies.

+ Establish clear metric definitions and calculation logic.

+ Ensure leadership reporting is consistent,repeatable, and explainable.

** What You'll Need:*
* + Bachelor's Degree preferred with 5 plus years of relevant experience in talent acquisition analytics, workforce planning, orpeople analytics. In lieu of a degree, a combination of experience and education will be considered.

+ Demonstrated experience analyzing complex, high volumedatasets.

+ Strong experience developing dashboards and executive level reporting.

+ Experience performing trend analysis,forecasting, and scenario modeling.

+ Demonstrated ability to reconcile data across multiple systems and identify data quality issues.

+ Experience translating complex analytical findings into understandable business recommendations.

+ Workforce planning, recruiting analytics, HRanalytics, operations, or high-volume staffing experience strongly preferred.

+ Advanced SQL

+ Advanced Excel, including Power Query,Pivot Tables, XLOOKUP/INDEX MATCH, complex formulas, and large dataset management

+ Power BI dashboard development experience

+ Data modeling and relational database concepts

+ ETL/ELT concepts

+ Python, particularly Pandas and Num Py

+ Familiarity with APIs and automated data ingestion

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Experience with cloud data environments or data warehouses

+ Familiarity with Power Automate or similarworkflow automation tools

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Experience with ATS, HRIS, workforce management,or…