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Contract Causal Inference Jobs in Virginia (NOW HIRING)

This position is contingent upon contract award. The War Data Platform (WDP) is a key initiative ... including Bayesian causal inference methods for reasoning under uncertainty, evaluating ...

... inference questions. Ability to explain argument structure, conditional logic, causal reasoning ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...

... inference questions. Ability to explain argument structure, conditional logic, causal reasoning ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...

... inference questions. Ability to explain argument structure, conditional logic, causal reasoning ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...

... inference questions. Ability to explain argument structure, conditional logic, causal reasoning ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...

... inference questions. Ability to explain argument structure, conditional logic, causal reasoning ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...

Contract Causal Inference information

What are some common challenges faced by professionals in contract causal inference roles, and how can they be addressed?

Professionals in contract causal inference roles often encounter challenges such as working with incomplete or messy datasets, ensuring the validity of assumptions in causal models, and effectively communicating complex findings to stakeholders. Addressing these issues typically involves using robust statistical techniques, performing thorough data cleaning, and engaging in transparent documentation of the modeling process. Additionally, collaborating closely with subject matter experts and stakeholders can help clarify project goals and improve the relevance and impact of your analyses.

What is a Contract Causal Inference specialist?

A Contract Causal Inference specialist is a professional who applies statistical and analytical methods to determine cause-and-effect relationships within data, typically on a contractual or project basis. These specialists are often brought in to analyze business, healthcare, or social science data to help organizations make evidence-based decisions. They use techniques such as randomized controlled trials, regression analysis, and propensity score matching to isolate causal impacts. Contract roles are usually temporary and focused on specific projects or questions. This position requires strong statistical knowledge, programming skills, and the ability to communicate findings to non-technical stakeholders.

What are the key skills and qualifications needed to thrive as a Contract Causal Inference Specialist, and why are they important?

To thrive as a Contract Causal Inference Specialist, you need a strong background in statistics, econometrics, or data science, typically with an advanced degree in a quantitative field. Proficiency with statistical software like R, Python, and specialized causal inference packages, as well as experience with data wrangling tools, is essential. Exceptional analytical thinking, clear communication, and attention to detail are valuable soft skills for interpreting results and collaborating with clients. These competencies are vital for delivering robust, actionable insights that drive evidence-based decision-making in a contractual setting.

What is the difference between Contract Causal Inference vs Data Analyst?

AspectContract Causal InferenceData Analyst
Required CredentialsStatistics, Data Science, or related certifications; often advanced degreesBachelor's or Master's in Data Science, Statistics, or related fields
Work EnvironmentResearch-focused, project-based, often in consulting or academiaBusiness environments, analyzing data to inform decisions
Employer & Industry UsageResearch institutions, consulting firms, tech companiesCorporations, marketing agencies, finance, healthcare
Search & Comparison IntentUnderstanding causal relationships, research projectsData analysis, reporting, business insights

Contract Causal Inference specialists focus on identifying cause-and-effect relationships through research and statistical methods, often in consulting or academic settings. Data Analysts interpret data to generate reports and insights for business decisions. While both roles require data skills, Contract Causal Inference emphasizes causal modeling and research, whereas Data Analysts focus on descriptive and diagnostic analysis.

What are the most commonly searched types of Causal Inference jobs in Virginia? The most popular types of Causal Inference jobs in Virginia are:
What are popular job titles related to Contract Causal Inference jobs in Virginia? For Contract Causal Inference jobs in Virginia, the most frequently searched job titles are:
What cities in Virginia are hiring for Contract Causal Inference jobs? Cities in Virginia with the most Contract Causal Inference job openings:
Senior Data Product Manager with Security Clearance

Senior Data Product Manager with Security Clearance

ECS

Fairfax, VA

$125K - $165K/yr

Other

Posted 16 days ago


Job description

Job Description "Everforth ECS is seeking a Senior Data Product Manager to work in the National Capital Region covering the Pentagon, Falls Church, and Fairfax . Please Note: This position is contingent upon contract award. The War Data Platform (WDP) is a key initiative within the U.S. Department of War's (DoW) AI-First strategy introduced in early 2026. The WDP focuses on operational warfighting data and aims to accelerate the deployment of artificial intelligence (AI) on the battlefield. The WDP extends to Unclassified, Secret, and Top Secret environments, and supports collaboration between Combatant Commands, Joint Staff directorates, Senior Executive Service leaders, and operational analysts. This role directs enterprise data product strategy for WDP Core Integration, governing the design, operation, and enhancement of automated ingestion pipelines, orchestration workflows, and enclave-specific data transformation services across all security levels. • Directs enterprise data product strategy for War Data Platform (WDP) Core Integration by governing the design, operation, and enhancement of automated ingestion pipelines, orchestration workflows, and enclave-specific data transformation services across Unclassified and NIPR, Secret and SIPR, and Top Secret and JWICS environments. • Guides engineering teams in constructing scalable data architectures that support medallion-zone storage, cross-domain movement, lineage tracking, and drift detection using platforms such as Databricks, Apache Airflow, AWS Glue, Kafka, and federated data catalog services. • Liaises with Combatant Commands, Joint Staff elements, and federal mission partners to synthesize operational requirements, define data product roadmaps, consumption models, and mission-aligned release schedules. • Prioritizes features that elevate platform reliability, including encryption-at-rest and encryption-in-transit methods, identity and access management workflows, automated compliance controls, and data quality monitoring dashboards. • Leads coordination with Data Operations teams to establish Tier 2 and Tier 3 support criteria, performance thresholds, outage notification mechanisms, and customer-facing documentation. • Drives analysis of alternatives for data tooling modernization by evaluating performance telemetry, usage metrics, workload patterns, and enterprise adoption statistics. • Oversees the creation of troubleshooting utilities, reference architectures, and standardized interfaces used by data producers and consumers across all enclaves. • Produces reports, release notes, operational scorecards, and governance artifacts that increase transparency, accelerate onboarding, and strengthen decision advantage for DoW and interagency stakeholders using War Data Platform (WDP) Core Integration enterprise data products. • Performs other duties as assigned. Required Skills • Current Secret security clearance with the ability to obtain and maintain a Top Secret (TS) security clearance with Sensitive Compartmented Information (SCI).
• 10-12 years of experience in data product management or related enterprise data product roles.
• Scaled Agile Framework (SAFe) Certified SAFe 6 Agilist.
• Proven expertise in designing, building, and operating end-to-end data ingestion pipelines, orchestration workflows, and data transformation services in multi-security-environment cloud platforms.
• Strong ability to translate complex operational requirements from senior DoW stakeholders into actionable data product roadmaps and release plans.
• Demonstrated experience with data governance, lineage tracking, and compliance controls in regulated environments.
• Strong problem-solving and decision-making capabilities, with a proven ability to weigh the relative costs and benefits of potential actions and identify the most appropriate solution.
• Highly developed interpersonal and oral/written communication skills, with the ability to effectively and professionally interact with a diverse set of stakeholders (from peers to end-users to executive management). Desired Skills • Active Top Secret (TS) security clearance with Sensitive Compartmented Information (SCI) eligibility.
• Direct experience designing, deploying, and managing multi-layered (medallion architecture) data systems and automated pipeline ecosystems
• Familiarity with cross-domain transfer technologies and secure data exchange processes across classified security enclaves
• Experience building data product platforms that integrate federated data catalog services and visualization tooling.
• Proven track record of delivering data products that support AI/ML pipelines and decision-making in the DoW environment.
• Strong analytical skills in evaluating telemetry and usage metrics to drive continuous product improvement.
• Experience with or strong interest in Bayesian statistical frameworks, particularly Bayesian causal inference, to support uncertainty-aware analysis, intervention evaluation, and decision-making in complex operational environments.
• Ability to define product requirements for semantic data access layers that help AI assistants, automated workflows, and agentic systems discover, interpret, and act on trusted enterprise data. ECS Federal LLC is an equal opportunity employer and does not discriminate or allow discrimination on the basis any characteristic protected by law. All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, or local jurisdiction law. is the federal segment of , a $4B global organization with over 10,000 employees. Our nearly 3,500 professionals deliver advanced technology solutions in data and AI, cybersecurity, and enterprise transformation, serving defense, intelligence, and federal civilian agencies. Our work powers mission-critical outcomes, strengthens technology partnerships, and creates meaningful opportunities for our people. We are defined by a commitment to excellence in delivery, a culture of innovation, and an environment where talent can thrive and grow. We value: * Attracting and developing top talent and high-performing teams * Fostering a culture that is engaging, accountable, and mission-driven