Radius Group builds data and technologies for employers to grow talent pipelines. Our mission is to expand pathways to employment for those facing opportunity gaps.

Objectives Of This Role Include

• Guides development of advanced models for forecasting labor supply and demand with employers.
• Leads the architecture of Radius data models.
• Guides procurement of data from employers and other sources.

Scope Of Work

• Utilize your expertise to conduct an in-depth analysis of workforce supply and demand dynamics within the healthcare, manufacturing, and finance sectors.
• Drive the evolution of the data model architecture that forms the foundation of our Talent Radar.
• Identify, evaluate, and interpret trends in workforce planning (supply, demand, and talent acquisition metrics) requirements to support F1000 companies.
• Apply a blend of labor market statistical knowledge, data analysis, and data pipeline management tools to derive meaningful conclusions from complex datasets.
• Translate data-driven insights into actionable strategies and recommendations, becoming a trusted advisor for companies in optimizing their workforce planning and resource allocation.
• Effectively communicate findings, trends, and recommendations to both technical and non-technical stakeholders through compelling presentations and reports. Be able to proactively speak up when plans need to change.
• Collaborate closely with cross-functional teams to enhance data collection methodologies, improve data quality, and innovate analytical processes. Direct data analyst work to bring projects to completion.
• Guide data partnerships with employers and other prospective data partners.
• Develop a comprehensive understanding of available labor market data sources and their various strengths/weaknesses.
• Integrate external data sources into our software to improve accuracy and extend the geographic reach of the Talent Radar.

Skills, Abilities, And Attributes We’re Looking For

• Bachelor's or Master's degree in Data Science, Statistics, Computer Science, or a related field.
• 5-7 years of experience in a data-focused role
• Experience with machine learning techniques for labor market predictive analytics.
• Understanding of regulatory compliance and data privacy within HR data sets.
• Ability to explain labor economic models - demand and supply side modeling with a focus on predictive analytics - to others who do not have content expertise.
• Prior experience with developing, maintaining, and using large data sets.
• HR Data and ETL pipeline development experience is a plus.
• A track record of leveraging data to drive business decisions.
• Proficiency in data analysis tools such as Python, R, SQL, etc.
• Proactive contributor with the ability to guide and proof/validate data analyst work to deliver a sustained data pipeline.
• Excellent communication skills to effectively convey complex findings and recommendations to diverse audiences.

How to Apply

Interested candidates should submit a resume and a short intro outlining their qualifications and experience. We look forward to reviewing your application.