Senior Statistician supporting a Department of Veterans Affairs Veterans Health Administration program, applying statistical theories, techniques, and methods to gather, analyze, interpret, and report quantitative information.
Locations (4)
Washington, District of Columbia, United States
Virginia, United States
Maryland, United States
District of Columbia, United States
Compensation
Salary Range: $120,000.00 - $165,000.00 annually
Responsibilities
Apply appropriate statistical theories, techniques, and methods to analyze quantitative data and support program evaluation, performance measurement, and operational decision-making.
As a Business Analyst | Manager, you will help ensure we solve the right business problem and deliver the right outcome by working across business, data and technology teams to understand business problems and desired outcomes.
Responsibilities
Lead business analysis end-to-end, from discovery and problem definition through requirements, delivery, testing, implementation and transition.
Plan and manage the analysis approach, including activities, deliverables, dependencies, stakeholder engagement and priorities.
Work with stakeholders to define business problems, desired outcomes and scope, constructively challenging assumptions and resolving ambiguity.
Elicit, analyse, structure and prioritise requirements using stakeholder input, business processes, systems, evidence and data.
Translate business needs into clear, testable business requirements, business rules, process models and acceptance criteria, maintaining traceability to agreed business outcomes.
The Survey Manager provides technical leadership and coordination to national implementing agencies conducting population-based surveys through the DHS Program, coordinating cross-functional teams of sampling, data processing, biomarker, and communications specialists.
Compensation
The pay range for this position based on full-time employment is: $67,355.00 - $114,503.00
Responsibilities
Work with host country implementing organizations and other survey stakeholders to support implementation of surveys and activities to meet data needs within budget and time constraints.
Provide technical assistance to countries in various stages of the survey process (e.g., questionnaire adaptation, field staff training, fieldwork monitoring, adaptation of analysis plans, reviewing data tables, report writing).
Prepare and adapt training materials and train local field staff in questionnaire content, interviewing techniques, and CAPI.
Lead the survey’s cross-functional project team (sampling, data processing, biomarker, GIS, communications, and other specialists).
Support the Survey Portfolio Manager’s negotiation and management of survey budgets, flagging technical, schedule, and cost issues early.
Requirements
Advanced degree in demography, public health, nutrition, epidemiology, or a similar topic area
Nice to have: French proficiency
Nice to have: Portuguese proficiency
Nice to have: Experience with DHS or other large surveys (MICS, LSMS, PHIA)
Supports end-to-end delivery of complex customer operations managed service engagements, maintaining delivery health across transition and run, ensuring efficient, compliant, and service‑level‑aligned work.
Responsibilities
Manage day‑to‑day delivery execution of complex customer operations managed service engagements
Coordinate transition and run activities, maintaining delivery plans, controls, operational readiness, and service stability
Maintain effective delivery governance, tracking service levels & MI, risks, issues, dependencies, actions, and escalations
Lead multidisciplinary and multi‑location teams by translating engagement objectives into clear priorities, measurable expectations, and quality standards
Provide timely, constructive feedback and coaching that reinforces strengths, builds capability, addresses performance or quality gaps fairly, and follows through to measurable improvement
Lead data science projects, develop and deploy AI/ML models, collaborate with cross-functional teams, and optimize model performance.
Responsibilities
Understand business problems and develop data science models
Work with data scientists, engineers, developers, and stakeholders to translate algorithms into products
Deploy models into production and monitor performance
Perform exploratory and targeted data analysis
Document models and processes
Requirements
M.Tech / M.E. / M.S. or an equivalent Master’s degree in Artificial Intelligence, Machine Learning, Computer Science, Applied Statistics or a related STEM field
Lead sustainability projects in supply chains, designing engagement programs with suppliers and providing technical guidance on Scope 3, GHG accounting, and ESG reporting.
Responsibilities
Lead sustainability projects in the supply chain, providing analysis and recommendations to improve performance and data quality of suppliers.
Design and implement supplier engagement programs, including information requests, training, and follow‑up on improvement plans.
Develop and maintain analytical tools and dashboards in Excel, Power BI and Tableau for data collection, tracking and reporting.
Review and validate supply chain data according to methodologies, quality standards and client requirements.
Work directly with clients to understand their needs and design solutions that create value and support sustainability objectives.
Requirements
Bachelor's degree in Engineering, Business Administration, International Business, Logistics, Supply Chain, Environmental Sciences, Sustainability or related fields
Nice to have: Knowledge of due diligence regulations in supply chain such as CSDDD, EUDR or UFLPA
Nice to have: Data Analytics or Science Based Targets (SBTi) knowledge
Develop analysis plans, define measures, select appropriate statistical methods, and document assumptions, limitations, and analytic results.
Analyze large, complex datasets from multiple facilities, sites, or systems and identify patterns, trends, relationships, outliers, and data-quality concerns.
Evaluate data completeness, consistency, validity, and reliability, including missingness, range, and impossible-value checks.
Support harmonization and reconciliation of data across facilities and sources through consistent definitions, keys, date ranges, formats, and naming conventions.
Requirements
Bachelor’s degree
Nice to have: VA credentials
Nice to have: experience with VA or federal health agency
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