ProSidian Seeks a Machine Learning Engineer | Data Management & Business Intelligence - Predictive Workforce Analytics [NSF0117117] for Program Support on a Exempt W2: No Overtime Pay Basis located in the Mid Atlantic Region and listed under a Systems Engineer Labor Category as a Engagement Team Mid Level Professional aligned under services related to NAICS: 541611 - Management and Financial Consulting, Acquisition and Grants Management Support, and Business Program and Project Management Services - DPLH Est.: 1920 Hrs. ST | 0 Hrs. OT on a Exempt W2: No Overtime Pay Contract Contingent Basis, generally located across the Alexandria, VA (Hybrid) Across The Mid Atlantic Region supporting a Human Capital Analytics & IT Modernization for Federal science agency HR modernization
The Machine Learning Engineer | Data Management & Business Intelligence - Predictive Workforce Analytics [NSF0117117] is aligned with GSA Labor Category: Systems Engineer.
We seek Machine Learning Engineer | Data Management & Business Intelligence - Predictive Workforce Analytics [NSF0117117] candidates with relevant Government And Public Services Sector Experience (functional and technical area expertise also ideal) to support professional services engagement for Government And Public Services Sector Clients such as NSF. 0
JOB OVERVIEW
Provide services and support as a Machine Learning Engineer [Business Analytics Support: HR Technology Ecosystem, And Enterprise-Wide Decision-Making Capabilities Enhancement] in the Government And Public Services Industry Sector focusing on HC | Human Capital Solutions for clients such as National Science Foundation (NSF | OCHCO / OCIO) | Office of the Chief Human Capital Officer (OCHCO) / Office of the Chief Information Officer (OCIO) Generally Located In Alexandria, VA (Hybrid) and across the Mid Atlantic Region (Of Country/World) Working Hybrid On/Off Client Site.
Deliver innovative solutions that improve operational efficiency through digital transformation and process automation; enhance data-driven decision-making using role-based advanced analytics and business intelligence; support regulatory compliance and adherence to federal human capital management policies; facilitate seamless integration of IT systems and workforce planning tools; optimize service delivery through performance-based outcomes and SLAs.
Predictive Workforce Analytics: Implement and maintain workforce analytics dashboards and predictive models using agency-standard analytics platforms (e.g., Oracle Analytics Server (OAS), Power BI, Tableau) and appropriate machine learning tools, in coordination with OCIO and existing data architecture.
RESPONSIBILITIES AND DUTIES - Machine Learning Engineer | Data Management & Business Intelligence - Predictive Workforce Analytics [NSF0117117]
Deliver innovative solutions that improve operational efficiency through digital transformation and process automation; enhance data-driven decision-making using role-based advanced analytics and business intelligence; support regulatory compliance and adherence to federal human capital management policies; facilitate seamless integration of IT systems and workforce planning tools; optimize service delivery through performance-based outcomes and SLAs.
Predictive Workforce Analytics: Implement and maintain workforce analytics dashboards and predictive models using agency-standard analytics platforms (e.g., Oracle Analytics Server (OAS), Power BI, Tableau) and appropriate machine learning tools, in coordination with OCIO and existing data architecture. Machine Learning Engineer Candidates work to facilitate Predictive Workforce Analytics delivering Data Management & Business Intelligence - Predictive Workforce Analytics through Build ML | deploy models | improve accuracy. Further, they Develop ML pipelines for workforce analytics.
Machine Learning Engineer Professionals typically cover Predictive Workforce Analytics Functional Area / Swim Lane / Category Disciplines and serve as Senior specialist or technical lead scope requiring independent execution, strong subject-matter expertise, and responsibility for complex deliverables.. They Engineer, test, and optimize technical components for Predictive Workforce Analytics; support system integration, data pipelines, automation routines, cloud services, and operational reliability.
The role(s) are located in the Mid Atlantic Region, at or near Alexandria, VA (Hybrid). Initially identified Work Site Address (Working Hybrid On/Off Client Site: 401 Dulany Street Randolph Building Alexandria, VA 22314