Lead Data Scientist (Predictive Analytics)

ProSidian Seeks a Lead Data Scientist (Predictive Analytics) | Data Management & Business Intelligence

• Predictive Workforce Analytics [NSF0115115] 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

The Lead Data Scientist (Predictive Analytics) | Data Management & Business Intelligence

• Predictive Workforce Analytics [NSF0115115] is aligned with GSA Labor Category: Data Scientist.

We seek Lead Data Scientist (Predictive Analytics) | Data Management & Business Intelligence

• Predictive Workforce Analytics [NSF0115115] 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

Provide services and support as a Lead Data Scientist (Predictive Analytics) [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

• Lead Data Scientist (Predictive Analytics) | Data Management & Business Intelligence
• Predictive Workforce Analytics [NSF0115115]

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. Lead Data Scientist (Predictive Analytics) Candidates work to facilitate Predictive Workforce Analytics delivering Data Management & Business Intelligence

• Predictive Workforce Analytics through Drive predictions | lead models | enable forecasting. Further, they Develop predictive models and forecasting for workforce planning.

Lead Data Scientist (Predictive Analytics) Professionals typically cover Predictive Workforce Analytics 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 Predictive Workforce Analytics; 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 (Predictive Analytics) | Data Management & Business ntelligence

• Predictive Workforce Analytics [NSF0115115] (NSF0115115) Candidates: 8+ 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

• Predictive Workforce Analytics Functional Area Activities.

• Artifacts: models
• Standard Skills Required: Proficiency in project management methodologies and tools. | Exceptional leadership and interpersonal skills for effective team management. | Outstanding time management and prioritization abilities to meet project milestones. | Adaptability to changing project requirements and priorities | Ability to multi-task and pay close attention to detail. | Excellent analytical, organizational and time management skills | Strong communication skills, both oral and written.
• EEO Statement: We attract the best people in the industry, supporting their efforts to learn and grow. We strive to create a challenging and progressive work environment. We Provide career opportunities spanning various disciplines and geographic locations, with projects that our employees plan, design, build, and operate as diverse as the needs of our clients.
• Ful Time Regular VISA Sponsorship: NoWe will not support sponsorship, i.e., H-1B or TN Visas for this position. U.S. Citizenship Required You must be a United States Citizen
• Background Check And Drug testing: ProSidian reserves the right to require background checks, including criminal, employment, education, licensure, etc. as well as credit and motor vehicle when applicable for certain positions. In addition, ProSidian may conduct drug testing for designated positions.

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• Business Tools – understanding and proficiency with business tools and technology, including Microsoft Office. The ideal candidate is advanced with Excel, Access, Outlook, PowerPoint, and Word, proficient with Adobe Acrobat, data analytic tools, and Visio, and the ability to quickly learn other tools, as necessary.

• Commitment - to work with intelligent, interesting people with diverse backgrounds to solve the most significant challenges across private, public, and social sectors.

• Curiosity – the ideal candidate exhibits an inquisitive nature and the ability to question the status quo among a community of people they enjoy and teams that work well together.
• Humility – exhibits grace in success and failure while doing meaningful work where skills have an impact and make a difference.
• Willingness - to constantly learn, share, and grow and to view the world as their classroom.

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].