Jobs2Careers logoHome

Data Scientist And Data Analyst

Herndon,VA

1915 Data Scientist And Data Analyst jobs in Herndon,VA

Recommended
Apply Directly
Data Scientist, Mid

BOOZ, ALLEN & HAMILTON

Washington, DC 20011

Remote

  • 2+ years of experience using data science programming languages such as Python or R
  • Experience with version control tools, including git, GitLab, GitHub, or Bitbucket
  • Knowledge of statistical analysis, predictive modeling, and machine learning methods
  • Ability to design and develop automated analytic software, techniques, and algorithms
  • Ability to develop solutions and integrate and extend free and open-source software ( FOSS ) or COTS products
  • Ability to generate data visualizations with tools such as Tableau, Power BI, or ArcGIS
  • TS / SCI clearance
  • Bachelor's degree
  • TS/SCI clearance with a polygraph
SmartExplore AI is experimental.
View now
Recommended
Senior Specialist, Federal Data Science

KPMG

Washington, DC 20007

Recommended
Apply Directly
Data Scientist

BOOZ, ALLEN & HAMILTON

Washington, DC 20011

RemoteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

  • 4+ years of experience using data science programming languages, such as Python or R
  • Experience creating ETL pipelines, including querying APIs, cleaning and conditioning data, and creating schemas for data storage
  • Experience with version control tools, including git, GitLab, GitHub, or Bitbucket
  • Experience developing scripts and programs for converting various types of data into usable formats and supporting project teams to scale, monitor, and operate data platforms in support of specific mission goals
  • Knowledge of statistical analysis, predictive modeling, and machine learning methods
  • Ability to design and develop automated analytic software, techniques, and algorithms
  • Ability to develop solutions and integrate and extend free and open-source software (FOSS) or COTS products
  • Ability to generate data visualizations with python libraries, such as Tkinter or Streamlit
  • TS/SCI clearance with a polygraph
  • Bachelor's degree and 4+ years of experience in data science, or 7+ years of experience in data science in lieu of a degree
  • Clearance: TS/SCI clearance with polygraph is required.
SmartExplore AI is experimental.
View now
Recommended
Apply Directly
Data Engineer

BAE Systems

Reston, VA 20191

RemoteHealth InsurancePaid Time OffRetirement Benefit

  • Bachelor's degree in an area related to the labor category (i.e., IT, Information Science, Computer Science, Data Science/Engineering) from a college or university accredited by an agency recognized by the U.S. Department of Education
  • 8 years of experience conducting data engineering and visualization support, with at least a portion of the experience within the last 2 years
SmartExplore AI is experimental.
View now
Recommended
Apply Directly
Sr. Infrastructure Reliability Engineer, Infrastructure Reliability & Quality

Amazon Data Services

Herndon, VA 20171

OnsiteUrgently HiringHealth InsurancePaid Time OffRetirement Benefit

  • 6+ years of data center design, construction, operations, or facility maintenance experience
  • 6+ years of industrial or commercial engineering in mission critical facilities including but not limited to: data centers, power generation or oil and gas facilities experience
  • Knowledge of critical data center mechanical and electrical equipment
  • The candidate should have experience in using Physics-of-Failure based approach to develop and implement both analytical and empirical approaches for product quality/reliability risk identification and assessment during product design, manufacture as well as deployment stages.
  • The individual should be able to drive AWS application-specific requirements in carrying out both lifecycle environmental and operational stress driven risk analysis, including thermal, electrical, chemical and mechanical stresses so to identify overstress and fatigue-related product weaknesses.
  • Candidate should be capable of evaluating not only product design quality/reliability risks, but also have the skills and experiences in assessing electronics manufacture process related quality/reliability issues.
  • Knowledge of statistical techniques and models is required to analyze test as well as field data.
  • At the component level, the individual will drive critical component identification and the associated vendor selection and qualification requirements.
  • The candidate will be expected to use knowledge of process capability for electronic component production as well as system-level performance requirements to establish critical to quality and reliability metrics.
  • At the system level, the individual will develop datacenter system level reliability model and related reliability quantification and risk analysis for datacenter configuration optimization.
  • The candidate will be expected to be familiar with system reliability engineering tools, such as reliability block diagram, statistical modeling and data analytics.
  • During sustaining stage, candidate will be responsible for monitoring product performance in the field and will be responsible to drive root cause analysis of any critical failures and the associated corrective and preventive actions.
  • The individual should also be able to drive effective vendor auditing and quarterly review process to drive the continuous improvements of datacenter availability.
  • The successful candidate should be considered as an expert in the reliability engineering field and have a proven track record of success in not only product reliability leadership, as well as business negotiations and program management.
  • Strong skill-set in problem analysis and solving as well as communication and vendor management are necessary.
  • Candidates should also be able to travel within US and internationally.
SmartExplore AI is experimental.
View now
Recommended
Head of Data & Analytics (Remote)

GlobalGiving Foundation

Washington Navy Yard, DC 20374

RemoteFlexible Schedule
New, Posted 12 hours ago
Apply Directly
Delivery Consultant- AI/ML, Data & Machine Learning (DML)

Amazon

Arlington, VA 22201

~ 29 min OnsiteHealth InsurancePaid Time OffRetirement Benefit

  • 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience
  • Current, active US Government Security Clearance of TS/SCI or above
  • Experience in defining and creating benchmarks for assessing GenAI model performance
  • Experience applying quantitative analysis to solve business problems and working on multi-team, cross-disciplinary projects
  • 2+ years of computer vision experience
  • This position requires that the candidate selected be a US Citizen and must currently possess and maintain an active TS/SCI security clearance.
SmartExplore AI is experimental.
View now
Apply Directly
Senior Computer Scientist - Quality Assurance Framework (QAF) Oversight & Monitoring

Peraton

Herndon, VA 20171

Onsite

  • Bachelor's degree in a relevant field, such as Computer Science, with a minimum of 17 years of experience or Master's degree with a minimum of 12 years of work experience.
  • Experienced in algorithm development, data structures, and software development practices.
  • Strong analytical and critical thinking skills to interpret complex data and draw meaningful conclusions.
  • Experienced in utilization of the Quality Assurance Framework and standards.
  • Experienced in advanced analytics, machine learning, and data integration methodologies.
  • Experienced with intelligence databases, software, and analytical tools.
  • Ability to work collaboratively with users and stakeholders.
  • Capacity to adapt to changing situations to prioritize tasks effectively.
  • Excellent communication, analytical, and problem-solving skills.
  • Security Clearance: This Position requires an Active TS/SCI and the ability to obtain a Poly, US Citizenship is required to hold this clearance.
SmartExplore AI is experimental.
View now
Recommended
Lead Specialist, Federal Data Science

KPMG

Washington, DC 20008

~ 34 min OnsiteHealth InsuranceRetirement Benefit

  • A minimum of five years of technical data science experience
  • U.S. Federal government consulting experience preferred
  • Bachelor's degree from an accredited college/university
  • Experience applying artificial intelligence techniques to achieve business goals
  • Proficiency with analytics tools and programming languages such as Python, R, Java, Scala, Spark, Hadoop, Alteryx, SQL; data visualization tools such as Tableau / QlikView
  • Experience developing Deep Learning models (e.g. - CNN, Recurrent, etc.) and their applications (object detection, text recognition, language modeling etc.) and tools (e.g. - TensorFlow, PyTorch, Keras, Fast.ai, etc.)
  • Experience leveraging cloud services or Cloud Certification (e.g. - AWS Solution Architect, AWS Machine Learning, Google Data Engineering, Azure AI Engineer Associate, etc.)
  • Experience building AI pipelines, ML development lifecycles, MLOps and containerization (such as Docker, Kubernetes, MLflow, Kubeflow, TFX, etc.)
  • Ability to travel as required to support firm engagements
  • Applicant must possess a U.S. Government Secret clearance
SmartExplore AI is experimental.
View now
New, Posted 10 hours ago
Recommended
Data Engineer - Senior

Cherokee Federal

Reston, VA 22096

Profile builder
Answer questions related to your search and surface your matches.
Browse Jobs
  • Jobs in Top Cities
  • Jobs by State
  • Jobs by Title
  • Jobs by Category
Tools
  • Free Resume Builder
  • Jobs2Careers+ Extension
Company
  • Post a Job
  • About
  • Advice
  • Contact
Jobs2Careers Powered by Talroo© 2026 Jobs2Careers
Logos provided by Logo.dev
© 2026 Jobs2Careers
Privacy PolicyTerms of UseYour Privacy ChoicesCalifornia Consumer Privacy Act (CCPA) Opt-Out Icon
Jobs2Careers Powered by Talroo