Data/ML Scientist SME
Falls Church, VA · On-site
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 ...
Data/ML Scientist SME
Falls Church, VA · On-site
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 ...
LSAT Logical Reasoning Tutor
Salem, VA · Remote
$40/hr
... inference questions. Ability to explain argument structure, conditional logic, causal reasoning ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...
LSAT Logical Reasoning Tutor
Salem, VA · Remote
$40/hr
... inference questions. Ability to explain argument structure, conditional logic, causal reasoning ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...
LSAT Logical Reasoning Tutor
Charlottesville, VA · Remote
$40/hr
... inference questions. Ability to explain argument structure, conditional logic, causal reasoning ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...
LSAT Logical Reasoning Tutor
Charlottesville, VA · Remote
$40/hr
... inference questions. Ability to explain argument structure, conditional logic, causal reasoning ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...
LSAT Logical Reasoning Tutor
Leesburg, VA · Remote
$40/hr
... inference questions. Ability to explain argument structure, conditional logic, causal reasoning ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...
LSAT Logical Reasoning Tutor
Leesburg, VA · Remote
$40/hr
... inference questions. Ability to explain argument structure, conditional logic, causal reasoning ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...
LSAT Logical Reasoning Tutor
Fairfax, VA · Remote
$40/hr
... inference questions. Ability to explain argument structure, conditional logic, causal reasoning ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...
LSAT Logical Reasoning Tutor
Fairfax, VA · Remote
$40/hr
... inference questions. Ability to explain argument structure, conditional logic, causal reasoning ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...
LSAT Logical Reasoning Tutor
Blacksburg, VA · Remote
$40/hr
... inference questions. Ability to explain argument structure, conditional logic, causal reasoning ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...
LSAT Logical Reasoning Tutor
Blacksburg, VA · Remote
$40/hr
... inference questions. Ability to explain argument structure, conditional logic, causal reasoning ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...
LSAT Logical Reasoning Tutor
Richmond, VA · Remote
$40/hr
... inference questions. Ability to explain argument structure, conditional logic, causal reasoning ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...
LSAT Logical Reasoning Tutor
Richmond, VA · Remote
$40/hr
... inference questions. Ability to explain argument structure, conditional logic, causal reasoning ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...
LSAT Logical Reasoning Tutor
Virginia Beach, VA · Remote
$40/hr
... inference questions. Ability to explain argument structure, conditional logic, causal reasoning ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...
LSAT Logical Reasoning Tutor
Virginia Beach, VA · Remote
$40/hr
... inference questions. Ability to explain argument structure, conditional logic, causal reasoning ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...
LSAT Logical Reasoning Tutor
Norfolk, VA · Remote
$40/hr
... inference questions. Ability to explain argument structure, conditional logic, causal reasoning ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...
LSAT Logical Reasoning Tutor
Norfolk, VA · Remote
$40/hr
... inference questions. Ability to explain argument structure, conditional logic, causal reasoning ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...
LSAT Logical Reasoning Tutor
Alexandria, VA · Remote
$40/hr
... inference questions. Ability to explain argument structure, conditional logic, causal reasoning ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...
LSAT Logical Reasoning Tutor
Alexandria, VA · Remote
$40/hr
... 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 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 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.
Is causal inference growing?
Causal inference is a rapidly growing field within data science and statistics, driven by increasing demand for understanding cause-and-effect relationships in various industries. Job opportunities for roles like Contract Causal Inference analysts are expanding as organizations seek expertise in advanced analytical tools and methods, including machine learning and statistical modeling. This growth reflects the broader trend of data-driven decision-making across sectors.
What is the difference between Contract Causal Inference vs Data Analyst?
| Aspect | Contract Causal Inference | Data Analyst |
|---|---|---|
| Required Credentials | Statistics, Data Science, or related certifications; often advanced degrees | Bachelor's or Master's in Data Science, Statistics, or related fields |
| Work Environment | Research-focused, project-based, often in consulting or academia | Business environments, analyzing data to inform decisions |
| Employer & Industry Usage | Research institutions, consulting firms, tech companies | Corporations, marketing agencies, finance, healthcare |
| Search & Comparison Intent | Understanding causal relationships, research projects | Data 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 job categories do people searching Contract Causal Inference jobs in Virginia look for? The top searched job categories for Contract Causal Inference jobs in Virginia are:
What cities in Virginia are hiring for Contract Causal Inference jobs? Cities in Virginia with the most Contract Causal Inference job openings:
Job description
Everforth ECS is seeking a Data/ML Scientist SME 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.
The Data/ML Scientist SME is a principal-level subject matter expert responsible for architecting and sustaining the machine learning-driven data quality capabilities that underpin the WDP Core Integration enterprise, ensuring that mission data serving Combatant Commands, Joint Staff elements, and interagency partners meets the accuracy, completeness, and timeliness standards required for AI-enabled warfighter decision advantage. This role serves as the authoritative technical voice on ML-based data quality monitoring, anomaly detection, and analytic readiness across all WDP security enclaves, and operates in close collaboration with data engineering, platform, cybersecurity, and AI integration teams to drive continuous improvement across the program's full data lifecycle.
• Architects and optimizes machine learning-driven data quality capabilities across Unclassified and NIPR, Secret and SIPR, and Top Secret and JWICS environments to advance War Data Platform (WDP) Core Integration enterprise data readiness.
• Designs, builds, and maintains data quality monitoring tools using Apache Spark, Databricks, Python validation frameworks, Great Expectations, Delta Live Tables, and cloud-native observability services to evaluate accuracy, completeness, timeliness, lineage fidelity, and schema consistency across ingest pipelines and medallion zone storage layers.
• Develops automated anomaly detection methods, statistical drift monitoring models, and ML-based pattern recognition workflows that identify deviations in mission data supporting Combatant Commands, Joint Staff elements, and interagency partners.
• Conducts analysis of alternatives on data tooling solutions, benchmarks tool performance metrics, and recommends enhancements that increase throughput, scalability, and operational reliability across all enclaves.
• Implements dashboards using Tableau, Power BI, and Databricks SQL to visualize operational data health, tool performance indicators, and mission impact assessments for senior leaders and engineering teams.
• Integrates outputs into continuous improvement cycles by collaborating with data engineering, cybersecurity, platform, and artificial intelligence teams to strengthen War Data Platform (WDP) Core Integration data governance and enterprise resilience.
• Produces technical reports, engineering findings, data quality scoring models, and modernization roadmaps that drive measurable improvements in analytic readiness, model performance, and decision superiority across the Department of War.
• Performs other duties as assigned.
• Current Secret security clearance with the ability to obtain and maintain a Top Secret (TS) security clearance with Sensitive Compartmented Information (SCI).
• 12 or more years of progressively responsible experience in data science, machine learning engineering, or a closely related field, with demonstrated expert-level proficiency designing and operationalizing ML-driven data quality and analytics capabilities in enterprise or multi-enclave defense environments.
• Experience or expertise in Bayesian statistical frameworks, including Bayesian causal inference methods for reasoning under uncertainty, evaluating intervention effects, and supporting decision-making in complex operational environments.
• Expert proficiency in Python-based data science and ML frameworks, including experience with Apache Spark, Databricks, Great Expectations, and Delta Live Tables for large-scale pipeline validation, anomaly detection, statistical drift monitoring, and medallion architecture data quality management.
• Demonstrated experience building and deploying ML models, automated validation workflows, and data observability solutions in DoW-compliant cloud environments such as AWS GovCloud or AWS Secret Region, including operations across NIPRNet, SIPRNet, and JWICS security enclaves.
• Proven ability to design and deliver executive-facing data quality dashboards and mission impact assessments using tools such as Tableau, Power BI, or Databricks SQL, and to translate complex technical findings into actionable recommendations for senior leaders and cross-functional engineering teams.
• 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).
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.
The Data/ML Scientist SME is a principal-level subject matter expert responsible for architecting and sustaining the machine learning-driven data quality capabilities that underpin the WDP Core Integration enterprise, ensuring that mission data serving Combatant Commands, Joint Staff elements, and interagency partners meets the accuracy, completeness, and timeliness standards required for AI-enabled warfighter decision advantage. This role serves as the authoritative technical voice on ML-based data quality monitoring, anomaly detection, and analytic readiness across all WDP security enclaves, and operates in close collaboration with data engineering, platform, cybersecurity, and AI integration teams to drive continuous improvement across the program's full data lifecycle.
• Architects and optimizes machine learning-driven data quality capabilities across Unclassified and NIPR, Secret and SIPR, and Top Secret and JWICS environments to advance War Data Platform (WDP) Core Integration enterprise data readiness.
• Designs, builds, and maintains data quality monitoring tools using Apache Spark, Databricks, Python validation frameworks, Great Expectations, Delta Live Tables, and cloud-native observability services to evaluate accuracy, completeness, timeliness, lineage fidelity, and schema consistency across ingest pipelines and medallion zone storage layers.
• Develops automated anomaly detection methods, statistical drift monitoring models, and ML-based pattern recognition workflows that identify deviations in mission data supporting Combatant Commands, Joint Staff elements, and interagency partners.
• Conducts analysis of alternatives on data tooling solutions, benchmarks tool performance metrics, and recommends enhancements that increase throughput, scalability, and operational reliability across all enclaves.
• Implements dashboards using Tableau, Power BI, and Databricks SQL to visualize operational data health, tool performance indicators, and mission impact assessments for senior leaders and engineering teams.
• Integrates outputs into continuous improvement cycles by collaborating with data engineering, cybersecurity, platform, and artificial intelligence teams to strengthen War Data Platform (WDP) Core Integration data governance and enterprise resilience.
• Produces technical reports, engineering findings, data quality scoring models, and modernization roadmaps that drive measurable improvements in analytic readiness, model performance, and decision superiority across the Department of War.
• Performs other duties as assigned.
• Current Secret security clearance with the ability to obtain and maintain a Top Secret (TS) security clearance with Sensitive Compartmented Information (SCI).
• 12 or more years of progressively responsible experience in data science, machine learning engineering, or a closely related field, with demonstrated expert-level proficiency designing and operationalizing ML-driven data quality and analytics capabilities in enterprise or multi-enclave defense environments.
• Experience or expertise in Bayesian statistical frameworks, including Bayesian causal inference methods for reasoning under uncertainty, evaluating intervention effects, and supporting decision-making in complex operational environments.
• Expert proficiency in Python-based data science and ML frameworks, including experience with Apache Spark, Databricks, Great Expectations, and Delta Live Tables for large-scale pipeline validation, anomaly detection, statistical drift monitoring, and medallion architecture data quality management.
• Demonstrated experience building and deploying ML models, automated validation workflows, and data observability solutions in DoW-compliant cloud environments such as AWS GovCloud or AWS Secret Region, including operations across NIPRNet, SIPRNet, and JWICS security enclaves.
• Proven ability to design and deliver executive-facing data quality dashboards and mission impact assessments using tools such as Tableau, Power BI, or Databricks SQL, and to translate complex technical findings into actionable recommendations for senior leaders and cross-functional engineering teams.
• 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).