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ProSidian Consulting, LLC

Machine Learning Engineer

401 Dulany Street, Alexandria, VA 22314

On-site · Full-time

First seen by offpeak October 4, 2026

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Company Description

ProSidian is a Management And Operations Consulting Services firm that focuses on providing value to clients through tailored solutions based on industry-leading practices. ProSidian provides enterprise services/solutions for Risk Management | Compliance | Business Process | IT Effectiveness | Engineering | Environmental | Sustainability | Human Capital. We help forward-thinking clients solve problems and improve operations. Launched by Management Consultants, our multidisciplinary teams bring together the talents of global professionals to complete a wide range of engagements for public and private, defense and civilian government, and non-profit organizations.  Our solution-centric services are deployed across the enterprise, target drivers of economic profit (growth, margin, and efficiency), and are aligned at the intersections of assets, processes, policies, and people delivering value. See Link To the ProSidian website at www.ProSidian.com

Job Description

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

Qualifications

Desired Qualifications For Machine Learning Engineer | Data Management & Business Intelligence - Predictive Workforce Analytics [NSF0117117] (NSF0117117) Candidates:  5+ years ML.

Education / Experience Requirements / Qualifications

Bachelor’s/Master’s.  5+ years ML.

Skills Required

Primarily focused on Management and Financial Consulting, Acquisition and Grants Management Support, and Business Program and Project Management Services initiatives and aligned with Program Support activities Data Management & Business Intelligence - Predictive Workforce Analytics Functional Area Activities. 

ML, Python

Competencies Required

Ancillary Details Of The Roles

Other Details

Supports predictive systems

#TechnicalCrossCuttingJobs #Government And Public Services #Jugaad #Copitas #AskWhy #Zakat #PokaYoke #AskidaEmek

Additional Information

As a condition of employment, all employees must meet the requirements of their roles: establish, manage, pursue, and achieve annual goals and objectives with Documented Goals for each of the firm's Eight ProSidian Global Competencies [1 - Personal Effectiveness | 2 - Continuous Learning | 3 - Leadership | 4 - Client Service | 5 - Business Management | 6 - Business Development | 7 - Technical Expertise | 8 - Innovation & Knowledge Sharing (Thought Leadership)]; and support all business development and other efforts on behalf of ProSidian.

Eight ProSidian Global Competencies

  1. Personal Effectiveness – The ability to manage tasks, time, and relationships efficiently, achieving consistent, impactful results.
  2. Continuous Learning – Ongoing pursuit of knowledge, skills, and adaptability to remain relevant, competent, and professionally competitive.
  3. Leadership – Inspiring, guiding, and motivating others toward shared goals, fostering accountability, collaboration, and strategic organizational success.
  4. Client Service – Delivering responsive, high-quality solutions that address client needs, build trust, and strengthen long-term partnerships.
  5. Business Management – Coordinating people, processes, and resources to achieve strategic objectives, operational efficiency, and sustainable organizational performance.
  6. Business Development – Identifying, pursuing, and securing growth opportunities through strategic relationships, market insight, and innovative solutions.
  7. Technical Expertise – Applying specialized knowledge, analytical skills, and practical experience to solve complex problems with accuracy.
  8. Innovation & Knowledge Sharing (Thought Leadership) – Generating creative solutions, sharing insights, and influencing industry direction through expertise, collaboration, and continuous improvement.

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OTHER REQUIREMENTS

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BENEFITS AND HIGHLIGHTS

ProSidian Employee Benefits and Highlights - Your health and well-being are crucial to ProSidian.  At ProSidian, we invest in our employees to help them maintain their health and achieve work-life balance.  We are pleased to offer the Employee Benefits Program, designed to promote your health and personal well-being.  Our growing list of benefits currently includes the following for Full-Time Employees:

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ADDITIONAL INFORMATION - See Below Instructions On The Best Way To Apply

ProSidian is an equal opportunity employer, considering qualified applicants regardless of race, color, creed, religion, national origin, sex, sexual orientation, gender identity, age, disability, veteran status, or other protected characteristics.  All information is kept confidential in accordance with EEO guidelines.  The company supports the Hiring Our Heroes Program and the "I Hire Military" Initiative.  We encourage all applicants, regardless of veteran status, to apply.  Our core value is "HONOR ABOVE ALL," emphasizing success through integrity, pride in overcoming challenges, and the pursuit of excellence.  For a simple application process, visit our career site at https://ProSidian.com/careers/ or send your resume, salary expectations, and ProSidian job title/code to careers@ProSidian.com.  Only candidates who meet the criteria will be considered.  For clarity and tracking, please structure your subject line to include the Job Title, Job Reference Code, and your Full Name, as follows: Application – [Job Title] – [Job Ref Code] – [Your Full Name].

Risk Management | Compliance | Business Processes | IT Effectiveness | Engineering | Environmental | Sustainability | Human Capital

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