Join us at Radius Group, an early-stage startup transforming workforce planning through cutting-edge data technologies. Our mission? To empower employers with actionable insights to build robust talent pipelines in a world facing unprecedented labor shortages.
By 2030, the U.S. is projected to have a shortage of 6.5 million skilled workers. Radius Group is tackling this challenge head-on with our Talent Radar—a dynamic tool that analyzes talent supply and demand to predict workforce needs. Backed by Bloomberg Philanthropies, we've teamed up with major companies on a prototype and are set to launch our beta version this fall. Be part of our journey to revolutionize workforce development!
Objectives of this Role
Drive the development of sophisticated models forecasting labor supply and demand.
Lead the architecture of Radius Group's data models.
Guide the acquisition of data from employers and other sources.
Scope of Work
Conduct in-depth analysis of workforce supply and demand analysis across healthcare, manufacturing, and finance sectors.
Shape the evolution of our data model architecture, the backbone of our MVP.
Spot, assess, and interpret trends in workforce planning to support F1000 companies.
Blend labor market statistics, data analysis, and pipeline management to extract insights from complex datasets.
Turn data-driven insights into actionable strategies, becoming a trusted advisor for workforce optimization.
Communicate findings and recommendations effectively to both technical and non-technical stakeholders through compelling presentations and reports.
Collaborate with cross-functional teams to enhance data collection, improve quality, and innovate analytical processes. Lead data analyst work to project completion.
Foster data partnerships with employers and other potential data partners.
Develop a comprehensive understanding of labor market data sources, identifying their strengths and weaknesses.
Integrate external data sources into our software to boost accuracy and expand the Talent Radar's geographic reach.
Skills, Abilities, And Attributes
Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, or a related field.
5-7 years of experience in a data-centric role.
Expertise in machine learning techniques for labor market predictive analytics.
Understanding of regulatory compliance and data privacy within HR datasets.
Ability to explain labor economic models to non-experts.
Experience with developing, maintaining, and using large datasets.
HR data and ETL pipeline development experience is a plus.
Proven track record of leveraging data to drive business decisions.
Proficiency in data analysis tools like Python, R, and SQL.
Proactive contributor with the ability to validate data analyst work and sustain a robust data pipeline.
Excellent communication skills to convey complex findings to diverse audiences.
Seniority level
Not Applicable
Employment type
Full-time
Job function
Information Technology
Industries
Data Infrastructure and Analytics
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