UNKNOWN

FEED

Overview: We are looking for seasoned Data Scientist to work with our existing team of Data Architects and Developers to develop strategies, create ML/AI solutions, and deliver results. About steampunk : Steampunk relies on several factors to determine salary, including but not limited to geographic location, contractual requirements, education, knowledge, skills, competencies, and experience.

YEAR

Steampunk

Data Scientist

[AW]-iCims

The AI Evaluation Scientist will work closely with engineers, data scientists, governance analysts, and product teams to develop evaluation metrics, build test harnesses, analyze model behavior, and support responsible deployment. Bachelor’s or Master’s degree in Computer Science, Statistics, Machine Learning, Cognitive Science, Human-Computer Interaction, Data Science, or a related field.

AI Evaluation Scientist

Legacy SAS Modernization: Read and reconcile legacy SAS workflows as needed and support a controlled migration to tested, maintainable Python workflows, including characterization of source tables and business rules, reconciliation testing, discrepancy investigation, and modular redevelopment. Data Quality & Reproducibility: Establish repeatable checks for source lineage, date coverage, record counts, duplicates, missing values, unexpected categories, and cohort attrition; preserve traceability from client-facing outputs back to code, parameters, and validated source data.

Logistics Management Institute

Data Scientist - Program Evaluation & Analytics

Peraton Labs is seeking a Data Scientist to support the BNATCS CTO Advanced Analytics and Digital Command Center teams by transforming complex workstream, program, schedule, requirements, and operational data into trusted metrics, analytical insights, and decision-support products. Candidates for this role should be able to analyze, reason, and communicate well enough to contribute to analytics workflows, dashboard logic, data validation, and integration activities supporting the consolidated data environment that feeds the program's agentic AI engine.

Peraton Inc

Preferred Qualifications: Experience supporting IC, DoD, or DOJ mission programs, Experience working with operational, intelligence, or enterprise data, Familiarity with cloud‑based analytics environments, Experience with Agile delivery environments. Data Scientist II independently performs data analysis and modeling to support mission outcomes, providing actionable insights to government and program leadership.

VTG.

Data Scientist II

This person will analyze complex datasets to identify patterns and relationships, select and implement appropriate machine learning algorithms for specific problems, and develop feature engineering approaches to improve model performance. Salary at Avalore is determined by various factors, including but not limited to location, the individual's particular combinaition of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements.

Avalore, LLC

Workable

In this role, you will design and implement automation and augmentation capabilities that connect databases, applications, and enterprise systems to reduce manual effort, improve data accessibility, and accelerate production workflows. 9+ years of relevant experience in data science, automation, software development, data engineering, database integration, GEOINT support, or related technical disciplines.

Grvty

Data Scientist – Mid

Design, fine-tune, and implement Large Language Models (LLMs) into workflows to support knowledge management systems, including: Development of LLM-driven tools to automate summarization, tagging, and retrieval of internal data, reports, and documentation. Vantor is a place for problem solvers, changemakers, and go-getters-where people are working together to help our customers see the world differently, and in doing so, be seen differently.

Maxar Technologies Inc (Inactive)

Senior Data Scientist

OTHER

Position Overview: As a Mid-Level Machine Learning/AI Software Engineer, you will be responsible for developing, implementing, and applying machine learning/AI algorithms and solutions to address complex challenges within defense applications. You will collaborate closely with cross-functional teams, including data scientists, software engineers, and defense analysts, to enhance the capabilities of our systems and support mission-critical operations.

Riverside Research Institute

Mid-Level Software Engineer

The successful candidate will own a portfolio of senior business leaders relationships and is expected to contribute to OP planning cycles, participate in 2x2 business reviews, contribute to collective upskilling, and help advance the knowledge and code-sharing infrastructure that defines how WFP scales throughout AWS. The ideal candidate combines the subject matter depth of a workforce planning expert, and quantitative rigor of a data scientist, focused on problem solving and change management– but above all, is a self-driven builder, eager to roll up their sleeves and make their expertise accessible and scalable throughout AWS.

At Amazon, we don’t wait for the next big idea to present itself. We envision the shape of impossible things and then we boldly make them reality. So far, this mindset has helped us achieve some incredible things. Let’s build new systems, challenge the status quo, and design the world we want to live in. We believe the work you do here will be the best work of your life. 
Wherever you are in your career exploration, Amazon likely has an opportunity for you. Our research scientists and engineers shape the future of natural language understanding with Alexa. Fulfillment center associates around the globe send customer orders from our warehouses to doorsteps. Product managers set feature requirements, strategy, and marketing messages for brand new customer experiences. And as we grow, we’ll add jobs that haven’t been invented yet. 
It’s Always Day 1 
At Amazon, it’s always “Day 1.” Now, what does this mean and why does it matter? It means that our approach remains the same as it was on Amazon’s very first day – to make smart, fast decisions, stay nimble, invent, and stay focused on delighting our customers. In our 2016 shareholder letter, Amazon CEO Jeff Bezos shared his thoughts on how to keep up a Day 1 company mindset. “Staying in Day 1 requires you to experiment patiently, accept failures, plant seeds, protect saplings, and double down when you see customer delight,” he wrote. “A customer-obsessed culture best creates the conditions where all of that can happen.” You can read the full letter <a href="https://hiring.amazon.com/why-amazon/culture#/">here</a> 
Our Leadership Principles 
Our Leadership Principles help us keep a Day 1 mentality. They aren’t just a pretty inspirational wall hanging. Amazonians use them, every day, whether they’re discussing ideas for new projects, deciding on the best solution for a customer’s problem, or interviewing candidates. To read through our Leadership Principles from Customer Obsession to Bias for Action, visit <a href="https://www.amazon.jobs/principles" target="_blank">https://www.amazon.jobs/principles</a>

Amazon

Senior Workforce Planning Strategist, AWS Workforce Planning

IRecruitee

With a culture centered on innovation and service stewardship, DNA stands as a community of leaders with eyes toward the future -- leaders who truly care about growing not only their team members, but themselves, and take pride in their employees who shine. Translate ambiguity to impact: Frame undefined problems with entrepreneurial clarity: define success metrics, scope solutions, and move from question to insight at speed.

W. R. Berkley Corp

FULL_TIME

CitizenshipActive Secret Security ClearanceAbility to obtain DHS Entry on Duty (EOD) SuitabilityBachelor's degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, Computer Engineering, or related STEM fieldFive (5) or more years of professional experience developing AI, ML, automation, or data engineering solutionsStrong Python development experienceExperience with Databricks AI PlatformExperience implementing machine learning pipelinesExperience integrating Large Language Models (LLMs)Experience with Amazon Bedrock and AWS AI servicesExperience building REST APIs and cloud-native applicationsExperience with Git, CI/CD pipelines, and software development best practicesStrong analytical, problem-solving, and communication skillsPreferred QualificationsActive TS/SCI ClearanceExperience supporting DHS, CISA, NSA, FBI, DoD, or Intelligence Community programsExperience implementing Generative AI solutionsExperience developing autonomous AI agentsExperience building RAG architecturesExperience with LangChain, LangGraph, CrewAI, AutoGen, Semantic Kernel, or similar AI orchestration frameworksExperience with vector databases (Pinecone, FAISS, ChromaDB, OpenSearch Vector Engine)Experience supporting malware analysis, digital forensics, or threat intelligenceExperience implementing MLOps pipelinesExperience deploying AI into production cloud environmentsDesired Technical SkillsArtificial IntelligenceLarge Language Models (LLMs)Generative AIRetrieval-Augmented Generation (RAG)Prompt EngineeringAI AgentsAgentic AIModel Fine-TuningReinforcement LearningNatural Language Processing (NLP)Embedding ModelsMachine LearningTensorFlowPyTorchScikit-learnXGBoostML PipelinesFeature EngineeringModel EvaluationModel DeploymentCloudAWSAmazon BedrockSageMakerLambdaECSEKSS3IAMCloudWatchDatabricksData EngineeringSparkKafkaKinesisAirflowPrefectSQLNoSQLData LakesETL/ELTVector DatabasesSoftware EngineeringPythonFastAPIREST APIsDockerKubernetesGitGitHub ActionsJenkinsTerraformCybersecurityMalware AnalysisThreat IntelligenceIncident ResponseDigital ForensicsMITRE ATT&CKDetection EngineeringSIEM IntegrationSecurity AutomationDesired CertificationsOne or more of the following certifications are highly desirable:AWS Certified Machine Learning – SpecialtyAWS Certified AI PractitionerAWS Solutions Architect – ProfessionalDatabricks Certified Machine Learning ProfessionalMicrosoft Azure AI Engineer AssociateGoogle Professional Machine Learning EngineerCSSLPDoD 8140 IAT Level IIICISSP (Preferred)GIAC Certified Forensic Analyst (GCFA) (Preferred)What Success Looks LikeWithin your first year you will:Deploy secure AI capabilities supporting DHS cyber operations. AI/ML Automation Engineer Location: Government Facility (Hybrid/Onsite)Security Clearance: Active Secret Clearance Required (TS/SCI Preferred)Customer: U.S. Department of Homeland Security (DHS)Employment Type: Full-TimeAbout Argo CyberArgo Cyber Systems is a Service-Disabled Veteran-Owned Small Business (SDVOSB) delivering advanced cybersecurity engineering, artificial intelligence, cloud security, digital forensics, threat intelligence, and cyber modernization services to Federal agencies and critical infrastructure organizations.

Argo Cyber Systems

AI Automation Engineer

Talent Acquisition

With a culture centered on innovation and service stewardship, DNA stands as a community of leaders with eyes toward the future -- leaders who truly care about growing not only their team members, but themselves, and take pride in their employees who shine. Shape the AI/ML platform: Evaluate and recommend tools, frameworks, and cloud services (Azure ML, Databricks, MLflow, etc.) that form the backbone of enterprise AI capability.

Principal Data Scientist

The university has a significant presence across Virginia, including Blacksburg, the greater Washington, D.C. area, the Health Sciences and Technology Campus in Roanoke, sites in Newport News and Richmond, and numerous Extension offices and research institutes . The university offers more than 280 majors to a diverse enrollment of more than 36,000 undergraduate, graduate, and professional students in eight undergraduate colleges , a school of medicine , a veterinary medicine college, Graduate School , and Honors College .

Virginia Tech

Tenure-Track Faculty Position in Computer Science

Experiment with a range of data science techniques to produce insight, including machine learning, deep learning, network analysis, sampling methodologies, text analytics in multiple languages and data visualization. Our teams are building capabilities to identify, plan, and deliver effects in the information operations space, and aim to provide a complete end-to-end solution to customers wishing to detect, analyze, and respond to events in real time.

Twosix Technologies

ea_via_bold

Verite Group, Inc.

Data Scientist - Mid

A career at Obsidian Solutions Group means you can put your expertise, credentials, and talents to great use working with customers in the DOD and Intelligence Community, while enjoying the excitement of working in a fast-growing organization committed to making a difference for our customers and in our community. Responsibilities: Develops, maintains, and updates tools that support risk and threat assessment activities within the Collections and Data Analytics Program, including the Technical Security Assessment (TSA) and Technical Anomaly Reporting System (TARS).

Obsidian Solutions Group LLC

Data Analyst II/Data Scientist II

This role independently owns analytical projects from problem framing through model deployment, applying statistical modeling and machine learning to claims and healthcare data in support of VA disability claims processing. We don't simply hire exceptional talent; we cultivate it, creating meaningful career pathways for veterans, military spouses, and professionals who share our passion for advancing technology and strengthening the missions we serve.

SteerBridge LLC

In terms of 'role levels', they're hiring across mid-level and senior (most of the FSP demand is for Senior Data Scientists) and due to the size of the organisation and the fact they're growing, opportunities for fast-tracked career development are there for those who want it. Due to the Top Secret nature of their work, I can't share too much detail around the day-to-day in this advert (for obvious reasons!), but they would prefer applicants with TS/SCI clearance (CI Poly or FSP is the preference due to project demand).

Your Remote Tech Recruiter

Senior Data Scientist (TS/SCI Clearance)

The position focuses on identifying capability gaps, informing senior‑leader decisions, supporting Army planning and resourcing processes, and applying AI/ML/NLP expertise where beneficial to Army Information Operations (IO) capabilities and policies. Track Army, Joint, Executive Communication and Control (ECC), and congressional actions assigned to DAMO‑SOI using the Enterprise Task Management Software Solution (ETMS2) and the OSD Correspondence and Task Management System (CATMS).

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Principal Data Scientist W. R. Berkley Corp

Tenure-Track Faculty Position in Computer Science Virginia Tech

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