Reston, VA

Data Jobs in Reston, VA

18 jobs found

Include remote jobs

Today

Sr Data Scientist

Xenith Solutions Reston, VA

Reston, VA

Today

$150k - $175k/yr Full time Senior Analytics Business Analytics

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Job Description

The Sr Data Scientist role at Xenith Solutions applies statistical analysis, data processing, and visualization to turn complex datasets into actionable insights that support data-driven decision-making. The position includes building models and dashboards, working with structured and unstructured data, and partnering with stakeholders while upholding data integrity, security, and governance/compliance.

Key Responsibilities

Use statistical analysis, data processing, and visualization techniques to extract insights from complex datasets, enabling data-driven decision-making.
Clean, transform, and analyze both structured and unstructured data to surface trends, patterns, and key performance indicators.
Develop data models, optimize queries, and produce dashboards or reports to communicate findings effectively.
Collaborate with stakeholders to understand business or mission objectives and align data solutions with organizational goals.
Maintain data integrity by following security protocols and applying best practices for data governance and compliance.

Required Qualifications

Proficiency in one or more of: C++, Python, or Java.
Proficiency with Docker (or Podman) and Helm for application packaging and deployment.
Experience deploying and configuring applications within Kubernetes, including defining ingress rules for traffic routing, using Cert manager for SSL/TLS, and interfacing with persistent storage (e.g., Longhorn).
Proficiency with Git-based workflows using Bitbucket, GitHub, or GitLab.
Familiarity with the Atlassian Suite including Jira, Confluence, and Bitbucket.
Experience with Agile software development practices such as build automation, testing automation, pair programming, and code management.
Experience supporting configuration management and software release processes.
Experience with Linux (e.g., RHEL) and comfort working from the command line.

Preferred Qualifications

Experience managing the full lifecycle of distributed microservices in a production environment.
Experience building scalable RESTful APIs using frameworks such as FastAPI, Flask, or Spring Boot.
Experience implementing asynchronous, event-driven architectures using Kafka or RabbitMQ.
Experience optimizing PostgreSQL for high-volume data and using Redis for distributed caching and state management.
A deep understanding of cloud-native principles with a focus on scalability, high availability, and fault tolerance.

Technologies

Python, R, SQL, C++, Java
Docker, Podman, Helm, Kubernetes, Cert manager, Longhorn
Git, Bitbucket, GitHub, GitLab
Jira, Confluence, Atlassian Suite
Linux, RHEL
FastAPI, Flask, Spring Boot
Kafka, RabbitMQ
PostgreSQL, Redis

Location and Compensation

Location: Reston, VA (onsite).
Salary: USD 150,000 - 175,000 per year.

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Today

Data Scientist - Subject Matter Expert

Noblis Reston, VA

Reston, VA

Today

$177k - $276k/yr Full time Adversarial Ml Ai Ml Artificial Intelligence

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Job Description

Noblis is seeking a Data Scientist to serve as a subject matter expert in support of a government contracting program focused on advanced sensing, autonomous systems, and AI/ML. This onsite role in Reston, VA 20191 centers on validating machine learning performance, hardening models against adversarial threats, and advising on autonomous systems integration.

Key Responsibilities

Design, develop, and execute AI/ML validation and testing frameworks to evaluate model performance, robustness, and operational reliability across cross-domain remote sensing applications.
Lead data curation and feature engineering pipelines, converting raw multi-source sensor data into high-quality, mission-ready datasets aligned to machine learning workflows.
Conduct adversarial attack research and optimization to identify system vulnerabilities and support development of countermeasures that strengthen models against adversarial exploitation.
Use advanced AI/ML techniques to support enhanced characterization of sensor systems, improving detection, classification, and identification capabilities across operational domains.
Develop and contribute to analysis tools and software that support intelligence workflows, sensor data exploitation, and decision-support applications.
Perform uncertainty analysis on AI/ML model outputs, quantifying confidence levels and communicating risk to both technical and non-technical government stakeholders.
Provide SME-level guidance on autonomous systems integration, including advice on AI architecture, algorithm selection, and system-level performance evaluation.

Required Qualifications

Master’s degree or PhD in Data Science, Computer Science, Electrical Engineering, Applied Mathematics, or a closely related technical field.
10+ years of experience in data science or machine learning, including demonstrated expertise supporting U.S. government or defense/intelligence community programs.
Hands-on experience with AI/ML validation, testing, and adversarial robustness methodologies in operational or near-operational environments.
Strong proficiency in Python, R, or equivalent languages, with experience using TensorFlow, PyTorch, or scikit-learn.
Demonstrated experience with remote sensing data types such as EO/IR, SAR, and multi/hyperspectral, along with associated exploitation techniques.
Practical knowledge of uncertainty quantification methods and statistical analysis applied to sensor or intelligence data.
US Citizen with an Active Top Secret / SCI security clearance.

Technologies

Python
R
TensorFlow
PyTorch
scikit-learn

Benefits

Health, life, disability, financial, and retirement benefits
Paid leave
Professional development
Tuition assistance
Work-life programs
Award programs recognizing employees for exceptional performance and superior demonstration of service standards
Full-time and part-time employees working at least 20 hours per week on a regular basis are eligible to participate in benefit programs

Desired Qualifications

Preferred experience with rapid capability development and acquisition, relevant military operations, or technology transition from R&D to fielding.

Role Details

Location: Reston, VA 20191 (onsite)
Experience: 10+ years
Salary Range: USD 176,800 - 276,250 per year (USD $176,800.00 - USD $276,250.00 /Yr.)
Employment Type: Full-time (with benefit eligibility for certain part-time schedules working at least 20 hours per week)

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1mo ago

Junior Data Engineer

EpochGeo Reston, VA

Reston, VA

1mo ago Closed

$125k - $135k/yr Full time Big Data Data Data Analysis

This position is no longer accepting applications (closed Sep 15, 2026).

Job Description

EpochGeo is hiring a Junior Data Engineer in Reston, VA (onsite) to support an automated analytics effort in the national security space.

Responsibilities

Support and maintain data management systems to improve storage efficiency, data access, and data usability across platforms.
Partner with stakeholders to design and implement data architectures aligned to operational needs.
Design, build, and optimize data pipelines and ETL processes for reliable, high-performance data processing and access.
Assess and select suitable database and processing technologies, including SQL, NoSQL, and HPC, based on data and query requirements.
Ensure strong data integration across systems to enable analysis and data-driven decision-making.

Requirements

1+ years of relevant experience in data engineering or a related role.
Proficiency with Python, SQL, and Apache Airflow (or similar).
Experience designing and implementing data architectures and data management systems.
Familiarity with database technologies including SQL, NoSQL, and HPC, plus experience selecting and configuring them to optimize data systems.
Experience building and maintaining ETL processes and data pipeline management.
Track record optimizing data throughput, query performance, and system responsiveness for complex analytics workloads.
Strong problem-solving skills and experience collaborating with data users and other stakeholders.
TS/SCI clearance required and willingness to submit for a CI Poly.
Location requirement: Reston, VA 20191 (required).
Relocation requirement: Relocate before starting work to Reston, VA 20191 (required).

Technologies

Python
SQL
Apache Airflow
NoSQL
HPC

Benefits

100% health care premiums covered
FSA
HSA
401k with 6% match
Immediate vesting
14 holidays: All 11 Federal holidays, day after Thanksgiving, 24 DEC, 31 DEC
PTO: 4 weeks annually
Dental insurance
Flexible schedule
Flexible spending account
Health insurance
Health savings account
Life insurance
Paid time off
Parental leave
Referral program
Tuition reimbursement
Vision insurance

Job Details

Job type: Full-time
Pay: $125,000.00 - $135,000.00 per year
Work location: In person
Ability to commute: Reston, VA 20191 (required)
Ability to relocate: Reston, VA 20191: Relocate before starting work (required)
Security clearance: Top Secret (required)

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1mo ago

Sr. Data Scientist

Glint Tech Solutions LLC Reston, VA

Reston, VA

1mo ago Closed

Full time Senior Artificial Intelligence AWS

This position is no longer accepting applications (closed Sep 10, 2026).

Job Description

Sr. Data Scientist role supporting a federal healthcare insurance organization, delivering end-to-end data science projects with statistical modeling, ML, and AI in a mostly remote setup.

Responsibilities

Drive solutions to complex business problems using statistical modeling, machine learning, AI, operations research, and data mining
Own high-impact data science projects end-to-end, from inception through production deployment
Lead and coordinate other data scientists working on shared project efforts
Build, train, and deploy ML solutions on AWS, using SageMaker, Bedrock, Kendra, and Lambda
Develop production-ready code with documentation and unit tests
Apply advanced ML approaches including k-nearest neighbors, random forests, and ensemble methods
Partner with product teams and customers to explain and educate on AI, ML, and statistical models
Collaborate with Product teams to refine requirements and interface with stakeholders across departments

Requirements

8+ years of experience as a Data Scientist with both model building and deployment experience
Advanced Python and SQL proficiency
Advanced proficiency in Python plus Spark/Scala for statistical analysis, data modeling, ML, and ETL
Intermediate to advanced data visualization skills using Python
Solid hands-on knowledge of AWS SageMaker, AWS Bedrock, AWS Kendra, and AWS Lambda (required)
Ability to write production-ready code including documentation and unit tests
Hands-on experience with ML methods including k-nearest neighbors, random forests, and ensemble methods
Strong AI/ML expertise across Machine Learning, Deep Learning, Decision Trees, Random Forest, Neural Networks, Supervised/Unsupervised Learning, Forecasting, Predictive Modeling, and Clustering
Deep knowledge of machine learning fundamentals, data mining, and statistical predictive modeling
Proficiency with Python ML and data pre-processing libraries: Scikit-Learn, NumPy, Pandas
Strong software prototyping and engineering skills across Python, R, and Spark/Scala
Ability to initiate and drive projects to completion with minimal guidance
Strong communication skills for presenting analysis results clearly and effectively
Degree preferred; 4 additional years of experience may substitute for a degree

Location

Mostly Remote
Onsite requirements: 1x/month in Reston, VA (requirement also stated as 1–2 times/month in the DC Metro area)
Candidates must reside in DC, MD, or VA

Project Details

Mostly remote role with onsite requirements 1–2 times per month in the DC Metro area
Travel expenses will not be covered
Candidates must reside in the DC, MD, or VA area or a touching state

Technologies

Python, SQL, Spark, Scala
AWS SageMaker, AWS Bedrock, AWS Kendra, AWS Lambda
Scikit-Learn, NumPy, Pandas
R
k-nearest neighbors, random forests, ensemble methods
Deep learning, decision trees, neural networks

Nice-to-Have Skills

Experience with Agentic AI
Familiarity with statistical packages such as R, MATLAB, SPSS, SAS, or Stata
Proficiency with healthcare analytics and data structures
Experience with big data technologies, ETL, statistics, causal inference, and simulation
Experience with large data sets and distributed computing (Hive/Hadoop)
Prior experience leading data science projects or teams independently

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1mo ago

Audio AI Engineer

Dev Technology Reston, VA

Reston, VA

1mo ago Closed

$80k - $160k/yr Full time Ai Engineer Artificial Intelligence Asr

This position is no longer accepting applications (closed Sep 9, 2026).

Job Description

Build and optimize a speech-to-text core that powers mobile translation performance on iPhone-class devices.

Responsibilities

Ingest, clean, segment, label, and version multilingual audio and transcript data, with focus on code-switching and borrowed-word behavior across the target language set.
Fine-tune and compress large ASR models to meet iPhone memory, latency, and battery constraints while preserving transcription quality.
Apply parameter-efficient and size-reduction approaches such as LoRA/QLoRA, quantization, distillation, and/or other techniques as appropriate.
Design packaging and on-demand language selection so language-specific weights can be downloaded based on context (for example, selecting Chinese ASR weights when an operator interviews a Chinese speaker).
Build and evaluate decision logic for borrowed English terms: transcribe as-is versus output as transliteration or a native equivalent in the source language.
Create reproducible evaluation pipelines using metrics such as word error rate and character error rate, plus latency and robustness checks (accent, noise, speaking rate, and code-switching).
Communicate results against defined success criteria for each language and deployment target.
Write clear model cards, dataset documentation, and evaluation write-ups for technical and non-technical stakeholders, including what the model does, comparisons to alternatives, and risks/limitations.

Requirements

Bachelor's degree in Computer Science, Data Science, Machine Learning, Computational Linguistics, or a closely related field.
Strong data-engineering background building production pipelines for large, messy, or unstructured audio/text datasets.
Hands-on experience fine-tuning or adapting speech/audio models using parameter-efficient methods (LoRA, QLoRA, adapters) and/or compression techniques (quantization, distillation, pruning) for constrained hardware.
Practical experience developing and evaluating ASR/speech-to-text systems across multiple languages, including error analysis under real-world conditions (accents, noise, code-switching).
Strong Python and SQL skills; experience with PyTorch, Hugging Face Transformers/PEFT, torchaudio, librosa, or comparable tooling.
Experience deploying and monitoring production ML systems, including secure handling of sensitive audio, transcripts, and derived data in regulated environments.
Ability to explain model behavior, tradeoffs, and limitations to both technical and non-technical stakeholders.

Technologies

Python, SQL
PyTorch
Hugging Face Transformers, PEFT
torchaudio, librosa
LoRA, QLoRA
Quantization, distillation, pruning
iPhone, iOS
Swift, AVFoundation

Benefits

Generous and flexible time-off policy
Flexible work schedules and telework options, including remote work availability for eligible projects
Career development: mentorship program, Dev University technical and management training, DevLab hands-on learning, tuition reimbursement, and paid training opportunities
Industry-leading benefits including choice of two health plans with dental and vision, flexible spending account, commuter benefits, life insurance, and more
401K matching with a 5% matching contribution
Regular team and company social events (annual party, happy hours, fitness challenges, and more)
Community engagement: company-wide support activities, employer match for donations, and time off for volunteer efforts

Compensation: USD 80,000 - 160,000 per year.

Location: Reston, VA (onsite).

What this role is (and isn’t):

Owns the speech-to-text model: data, training/adaptation, model size and latency on-device, and transcription accuracy across languages.
Does not own iOS application development, translation (source-language to target-language), or the Swift/AVFoundation integration layer. Those are handled by a separate mobile engineering function this role will collaborate with.

Preferred (not required)

Prior exposure to mobile/on-device ML deployment constraints, even without owning the mobile codebase directly.
Experience with agentic or multi-step workflow orchestration involving model outputs, retrieval, or human review.

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1mo ago

Data Scientist

Noblis Reston, VA

Reston, VA

1mo ago Closed

$121k - $189k/yr Full time Artificial Intelligence Azure Big Data

This position is no longer accepting applications (closed Sep 6, 2026).

Job Description

Noblis is seeking a Computer Vision (CV) Data Scientist to support national security missions by building, deploying, and maintaining AI/ML models that interpret visual data. This onsite role is based in Reston, VA and works within an environment that combines scientific, engineering, and mission-focused expertise.

You will contribute to model development and evaluation across images, video, and sensor feeds, with responsibilities that include versioning, performance assessment, and identifying security vulnerabilities in deployed solutions. The position requires an active TS/SCI clearance with a current polygraph.

What you’ll do

Partner with the Sponsor to develop AI models enabling computers to interpret and analyze visual data such as images, video, and sensor feeds.
Design, develop, and deploy AI/ML models for capabilities including object detection, data triage, search optimization, inference, facial recognition, behavior detection, automated discovery, and decision support.
Maintain model versioning, evaluate model performance, and identify emerging vulnerabilities to strengthen security and effectiveness.
Identify, evaluate, and integrate cutting-edge research and open-source technologies into mission-focused AI/ML solutions.
Design, develop, train, and optimize machine learning and deep learning models.
Collect, curate, process, and analyze large, complex datasets to support model development.
Research, implement, document, and communicate technical approaches, methodologies, and results.
Leverage high-performance computing resources, including GPU clusters and cloud-based environments, to train and deploy scalable AI/ML solutions.
Collaborate with cross-functional teams to deliver capabilities that support national security missions.

Required qualifications

Active Top Secret/SCI (TS/SCI) clearance with a current polygraph.
Education and experience alignment:
- Bachelor’s degree with 5 years of related experience, or
- Master’s degree with 3 years of related experience, or
- Associate’s degree with 8 years of related experience, or
- High School diploma/GED with 11 years of related experience.
Experience developing and deploying machine learning models, including expertise in areas such as statistical modeling, time-series forecasting, geospatial analytics, or computer vision (CV).

Technologies you may use

Python
PostgreSQL/SQL
Apache Spark
Git
Apache NiFi
Hadoop
Amazon Web Services (AWS)
Google Cloud Platform (GCP)
Microsoft Azure
TensorFlow
PyTorch
OpenCV

Benefits

Health, life, disability, financial, and retirement benefits
Paid leave
Professional development
Tuition assistance
Work-life programs
Award programs recognizing employees for exceptional performance and superior demonstration of service standards
Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in benefit programs
Drug-free workplace

Additional information

Minimum experience: 3 years
Salary range: USD 120,700 - 188,725 per year
Posted salary range: USD $120,700.00 - USD $188,725.00 /Yr
Remote/hybrid status is subject to change based on Noblis and/or government requirements
Learn more and find opportunities at careers.noblis.org

Non-discrimination

All qualified applicants receive consideration without regard to protected characteristics under applicable federal, state, or local law.
Reasonable accommodation is available for the application and interview process, and for essential job functions and benefits.
E-Verify and Right to Work

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1mo ago

Senior Data Engineer (Azure Data Factory Databricks, PostgreSQL, Python)

Career Developers Reston, VA

Reston, VA

1mo ago Closed

Full time Python Senior Analytics

This position is no longer accepting applications (closed Aug 28, 2026).

Job Description

Career Developers is seeking a Senior Data Engineer to design and maintain scalable, production-grade data pipelines within Azure-based environments, leveraging Data Factory and Databricks alongside PostgreSQL and Python to empower analytics and reporting. This on-site role in Reston, VA requires a Bachelor's degree and at least several years of hands-on data engineering experience building reliable data products in enterprise settings.

Responsibilities

Design, build, and maintain scalable production data pipelines supporting enterprise data platforms
Perform exploratory data analysis, statistical analysis, and data validation to support analytics and reporting
Develop and optimize ETL/ELT workflows including job design, orchestration, and performance tuning
Build and maintain relational database schemas, queries, and stored procedures
Work within Azure-based data environments including Data Factory, Databricks, and Data Lake Storage
Collaborate with analytics, BI, and engineering teams to deliver reliable data products
Implement monitoring, logging, and observability for data pipelines
Maintain documentation, data lineage, and governance standards
Participate in architecture discussions and contribute to long-term data platform strategy

Requirements

Bachelor's degree in Computer Science, Statistics, Mathematics, Information Science, Data Engineering, Finance, or related field (Master's preferred)
5+ years of data engineering experience working with production data pipelines
5+ years of applied data analysis and statistical data work
3+ years of ETL / ELT development experience
3+ years working with relational databases and performance tuning
Experience with Azure data services (Data Factory, Databricks, Data Lake, Synapse, Delta Lake, or similar)
Strong programming experience with Python, PySpark, SQL, and Bash
Experience with Kafka, SAP data services, or similar integration tools preferred
Experience with PostgreSQL, SAP ASE, or comparable databases
Experience with Power BI or BusinessObjects is a plus
Experience with CI/CD pipelines, Git, Kubernetes, and infrastructure-as-code
Knowledge of data governance, cataloging, and access control
Experience with monitoring tools such as Datadog, Grafana, or Prometheus
Ability to work independently while managing multiple priorities
Strong communication and documentation skills
Must be eligible to work in the United States