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ProSidian is seeking a Lead Data Scientist to provide Data Management and Business Intelligence support, focusing on HR analytics and enterprise-wide decision-making. The role is centered in the Mid-Atlantic region, with a Hybrid work model in Alexandria, VA.
Responsibilities include developing advanced analytics, guiding analytics strategy, and leading a data science team to deliver data-driven HR insights for federal programs and HR modernization efforts.
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
ProSidian Seeks a Lead Data Scientist | Data Management & Business Intelligence - Data Scientist Support [NSF0110110] for Program Support on a Exempt W2: No Overtime Pay Basis located in the Mid Atlantic Region and listed under a Data Scientist 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
Provide services and support as a Lead Data Scientist [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.
Data Scientist Support – Consultative support for specialized workforce research & HR analytics.
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.
Data Scientist Support – Consultative support for specialized workforce research & HR analytics. Lead Data Scientist Candidates work to facilitate Data Scientist Support delivering Data Management & Business Intelligence - Data Scientist Support through Lead models | drive insights | guide analytics strategy. Further, they Lead advanced analytics and workforce modeling efforts; oversee data science team; deliver insights for HR strategy.
Lead Data Scientist Professionals typically cover Data Scientist Support Functional Area / Swim Lane / Category Disciplines and serve as Senior lead/architect/manager scope with enterprise influence, independent judgment, and responsibility for cross-functional delivery or strategy.. They Develop advanced analytic models, workforce insights, and decision-support products for Data Scientist Support; support predictive analysis, KPI design, and executive reporting using governed data and modern analytics tools.
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
Desired Qualifications For Lead Data Scientist | Data Management & Business Intelligence - Data Scientist Support [NSF0110110] (NSF0110110) Candidates: 8–10 years data science.
Bachelor’s/Master’s Data Science. 8–10 years data science.
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 - Data Scientist Support Functional Area Activities.
ML, Python, analytics
Supports workforce analytics
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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.
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.