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Remote Machine Learning Postdoc Jobs in Alexandria, VA

Elder Research

Data Scientist (Remote)

Arlington, VA · On-site +1

Maintain current in emerging tools and techniques in machine learning, statistical modeling, and ... Washington DC Metro Area - Remote (candidates MUST BE located in the National Capital Region - DMV ...

Elder Research

Data Scientist (Remote)

Arlington, VA · On-site +1

Maintain current in emerging tools and techniques in machine learning, statistical modeling, and ... Washington DC Metro Area - Remote (candidates MUST BE located in the National Capital Region - DMV ...

Knexus

AI Software Engineer (Remote)

Vienna, VA · Remote

This is a fully remote position for candidates in the continental U.S., with work hours aligned to ... This role involves leveraging cutting-edge technologies, including GenAI and machine learning ...

Lateral Insights LLC

Senior AI/ML Engineer

Great Falls, VA · Remote

$105K - $145K/yr

... machine learning platforms, and practical experience operationalizing AI solutions from concept to production. Location: Vienna VA (We will consider Remote candidates within US Mainland on EST ...

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All JobsMachine Learning Postdoc JobsRemote Machine Learning Postdoc JobsRemote Machine Learning Postdoc Jobs in Alexandria, VA

Remote Machine Learning Postdoc information

Is ML a high paying job?

Machine learning postdoctoral positions are generally well-paid compared to many academic roles, with salaries often ranging from $60,000 to over $100,000 annually depending on experience, location, and funding. These roles typically require strong programming skills in Python or R and knowledge of algorithms and data analysis, which can contribute to higher compensation levels.

Is a PhD in ML worth it?

A PhD in machine learning can enhance qualifications for a remote machine learning postdoc position, often leading to higher-level research opportunities and increased earning potential. However, it requires significant time investment and may not be necessary for industry roles that value practical skills and experience with tools like Python and TensorFlow. The decision depends on career goals and the specific requirements of the desired position.

What are the key skills and qualifications needed to thrive as a Remote Machine Learning Postdoc, and why are they important?

A Remote Machine Learning Postdoc requires a PhD in computer science, statistics, or a related field, with expertise in machine learning algorithms, statistical modeling, and research methodologies. Proficiency in programming languages like Python or R, experience with machine learning frameworks such as TensorFlow or PyTorch, and familiarity with version control systems (e.g., Git) are typically necessary. Strong written and verbal communication, self-motivation, and collaboration skills are vital for remote research and effective teamwork. These capabilities enable impactful independent research, smooth collaboration across distributed teams, and the successful dissemination of findings to the wider scientific community.

Is a postdoc harder than a PhD?

A remote machine learning postdoc typically involves more specialized research, higher expectations for independence, and often requires advanced skills in programming and data analysis. While a PhD focuses on completing a dissertation and gaining foundational expertise, a postdoc emphasizes producing publishable research and may involve longer hours and greater responsibility, making it generally more demanding in terms of research output and expertise. However, the difficulty varies based on individual experience and research environment.

What is a Remote Machine Learning Postdoc?

A Remote Machine Learning Postdoc is a postdoctoral researcher specializing in machine learning who works predominantly or entirely from a location outside their host institution, often from home. Their work involves conducting advanced research, developing new algorithms, analyzing data, and publishing findings related to machine learning while collaborating virtually with faculty and research teams. This role is ideal for researchers seeking flexibility or those who cannot relocate but wish to contribute to academic or industrial research from a distance.

Do you need H-1B for postdoc?

A remote machine learning postdoctoral position typically does not require H-1B sponsorship if the candidate is already authorized to work in the country, such as through a visa or citizenship. However, international candidates may need H-1B or other work visas depending on the employer and local immigration laws. Employers often sponsor visas for postdocs to comply with legal requirements and facilitate employment.

What are some common challenges faced by remote machine learning postdocs when collaborating with research teams?

Remote machine learning postdocs often encounter challenges related to communication and coordination, especially when working across different time zones or with teams that have varying schedules. Effective collaboration usually requires proactive communication through virtual meetings, shared code repositories, and regular progress updates. Building rapport with colleagues and staying engaged with ongoing research discussions can take extra effort remotely, but leveraging collaborative tools and participating in virtual seminars or group chats can help bridge the gap. Being organized and self-motivated is key to ensuring productive contributions to the team’s research objectives.
What are popular job titles related to Remote Machine Learning Postdoc jobs in Alexandria, VA? For Remote Machine Learning Postdoc jobs in Alexandria, VA, the most frequently searched job titles are:
What job categories do people searching Remote Machine Learning Postdoc jobs in Alexandria, VA look for? The top searched job categories for Remote Machine Learning Postdoc jobs in Alexandria, VA are:
What cities near Alexandria, VA are hiring for Remote Machine Learning Postdoc jobs? Cities near Alexandria, VA with the most Remote Machine Learning Postdoc job openings:
Remote Machine Learning Postdoc jobs near you
Infographic showing various Remote Machine Learning Postdoc job openings in Alexandria, VA as of July 2026, with employment types broken down into 63% Full Time, 17% Part Time, and 20% Contract. Highlights an 100% Remote job distribution.
Senior Data Scientist (Secret Clearance) - Remote

Senior Data Scientist (Secret Clearance) - Remote

Praescient Analytics

Fairfax, VA • On-site, Remote

Full-time

Retirement, PTO

Posted 13 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.

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