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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 ...

LSAT Logical Reasoning Tutor

Salem, VA ยท Remote

$26 - $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 ...

... 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 ...

LSAT Logical Reasoning Tutor

Norfolk, VA ยท Remote

$26 - $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 ...

... 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 ...

LSAT Logical Reasoning Tutor

Fairfax, VA ยท Remote

$26 - $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 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 Scientist (Secret Clearance) - Remote

Senior Data Scientist (Secret Clearance) - Remote

Praescient Analytics

Fairfax, VA โ€ข On-site, Remote

Full-time

Retirement, PTO

Posted 8 days ago


Job description

Location: Remote
Job Type: Full-Time
Clearance Requirement: Secret Clearance (Top Secret Preferred)

U.S. Citizenship is Required.
Position Overview:
Praescient Analytics is seeking a highly skilled and visionary Senior Data Scientist to provide enterprise-level analytical leadership, advanced statistical modeling, and machine learning oversight for the National Background Investigation Services (NBIS) and Enterprise Information Technology (EIT) application development suites. In this role, you will define the overarching predictive analytics vision, establish rigorous machine learning workflows, and conceptualize advanced statistical models optimized for a secure cloud environment. Working without supervision on highly complex initiatives, you will lead the evolution of traditional reporting into modern, highly scalable, and secure predictive models within an AWS GovCloud environment. You will collaborate closely with principal data architects, data engineers, chief data officers, and federal program stakeholders, exercising wide latitude for independent judgment to ensure our nation's background investigation analytics frameworks are resilient, secure, and compliant with zero-trust mandates. Key Responsibilities: Advanced Statistical Analysis & Modeling: Formulate, experiment with, and articulate alternative statistical frameworks. Apply rigorous experimental design, hypothesis testing, and statistical analysis to massive federal datasets, validating results against strict requirements and security assumptions.
Machine Learning Engineering & Vision: Design, build, and deploy end-to-end machine learning pipelines (including predictive modeling, anomaly detection, and NLP), aligning model development life cycles with the Agile SAFe v6.0 roadmap.
Scalable Analytics & Cloud Optimization: Author the scripts and frameworks for modernizing legacy analytics systems into highly distributed, cloud-native processing and intelligence solutions specifically optimized for AWS GovCloud.
Data Exploration & Advanced Querying: Establish standardized methodologies for data extraction, manipulation, and feature engineering across enterprise-grade relational and non-relational datastores. Maintain strict data integrity and reproducible research practices.
High-Throughput Integration Strategy: Partner with data engineers to design and integrate ML models directly into high-volume, low-latency batch and stream processing pipelines (e.g., Kafka, Spark) that effortlessly bridge application and analytics tiers.
Cross-Functional Collaboration: Serve as the principal data science advisor across the entire program. Work with software engineers, data architects, and customer application experts to evaluate technical trade-offs and drive advanced analytics capabilities.
Agile Requirements Optimization: Leverage Jira, Confluence, and SAFe processes to translate high-level mission capabilities and agency mandates into foundational analytical epics, technical features, and modeling roadmaps.
Required Qualifications:
Clearance & Citizenship: Active U.S. Secret clearance is required. Must be a U.S. Citizen to meet federal contract mandates.
Education & Experience: * Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, or a related quantitative field with 10-12 years of relevant data science and machine learning experience OR Master's degree in a related field with 8-10 years of relevant experience OR PhD in a related field with 5-7 years of relevant experience.
Mastery of Statistics & Machine Learning: Deep, extensive proficiency in advanced statistical methods (regression analysis, forecasting, causal inference) and machine learning algorithms (supervised/unsupervised learning, ensemble methods, deep learning, NLP).
Expert-Level Programming & Querying: Mastery of Python (including PyData stack: Pandas, NumPy, Scikit-Learn, SciPy) and advanced SQL (complex joins, window functions, analytical queries) for handling multi-million row datasets.
AWS GovCloud Ecosystem: Comprehensive experience designing and deploying scalable ML models and analytics pipelines within AWS and AWS GovCloud, specifically utilizing SageMaker, Redshift, Glue, EMR, Athena, S3, and DynamoDB.
Advanced Database Experience: Expert-level knowledge of extracting and manipulating data from enterprise-grade relational databases (Oracle, PostgreSQL), NoSQL engines, and massive parallel processing (MPP) data warehouses.
Tools & Lifecycle Management: Expert proficiency with Git, Jira, Confluence, and MLOps principles within an automated DevSecOps environment to manage model versioning and deployment pipelines.
Autonomy & Communication: Proven ability to work without supervision on highly complex, mission-critical projects, exercising wide latitude for independent judgment. Strong interpersonal skills with the ability to articulate complex mathematical and analytical visions to both engineering teams and senior federal stakeholders.
Preferred Qualifications:
An active Top Secret (TS) clearance.
Prior experience providing enterprise data science oversight or technical leadership directly on Department of Defense (DoD), DCSA, or NBIS programs.
Advanced expertise in federal data compliance frameworks (e.g., NIST, HIPAA), responsible AI principles, and automated data encryption at rest and in transit within machine learning workflows.
The projected compensation range for this position is $135,000.00 to $175,000.00 (annualized USD).
What You Can Expect From Us:
  • Real opportunity for career growth in an environment where your achievements will be celebrated
  • Constant collaboration with numerous teams to ensure client success
  • A team that respects and embraces your ideas and expertise
  • Coworkers that are motivated by pursuing excellence, rather than the prospect of personal gain
  • A workplace dedicated to supporting and bettering public safety and government agencies

Benefits:
  • Very competitive salary based on qualifications and experience
  • Comprehensive, Company paid healthcare for you (We pay your premiums and deductibles)
  • 401(k) with company match
  • Travel & performance incentives
  • 3 weeks paid time off (plus Federal Holidays)
  • $5K annual training allowance

Praescient Analytics is a Certified Woman-Owned Small Business (WOSB) with over a decade of expertise in advanced analytics, engineering, and DevOps, specializing in transforming complex data into actionable intelligence for informed decision-making. Since 2011, we have supported over 40 organizations across diverse domains, including military intelligence operations, financial and fraud investigations, and insider threat detection.
Our team of experts-skilled in cloud computing, artificial intelligence, machine learning, data science, DevOps, and engineering-brings deep experience in solving complex challenges. With a proven track record in federal contracting, we deliver tailored, high-impact solutions designed to enhance operational efficiency, ensure mission success, and address the evolving needs of our clients. Praescient's innovative and adaptive approach makes us a trusted partner in delivering data-driven insights and technological excellence for critical missions.
Applicants selected will be subject to a government security investigation and must meet eligibility requirements for access to classified information.
US Citizenship Required
Interested Candidates: Please forward your resume to recruiting@praescientanalytics.com and please visit our website to apply online at www.praescientanalytics.applicantstack.com/x/openings.