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Data Sciences Analytics Informatics

Washington,DC

1562 Data Sciences Analytics Informatics jobs in Washington,DC

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Data Scientist

BOOZ, ALLEN & HAMILTON

Alexandria, VA 22304

RemoteUrgently HiringEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

  • 6+ years of experience with data science, statistical analysis, or quantitative research
  • 6+ years of experience with the development of algorithms, leveraging R or Python in data analysis libraries, including pandas, NumPy, scikit-learn, or Tidyverse
  • 6+ years of experience analyzing structured and unstructured data sources
  • Experience with statistics, including hypothesis testing, regression analysis, experimental design, and uncertainty quantification
  • Experience with data management in SQL, including managing large-scale data across multiple databases and data warehouses
  • Experience working with large-scale datasets and distributed computing frameworks, including Spark or DASK
  • TS/SCI clearance
  • Bachelor's degree
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Data Scientist- Financial Investigation

Guidehouse

Washington, DC 20080

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Data Scientist, Mid

BOOZ, ALLEN & HAMILTON

Reston, VA 20191

RemoteUrgently HiringEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

  • 2+ 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
  • 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 and 3+ years of experience in data science, or 7+ years of experience in data science in lieu of a degree
  • Clearance: TS/SCI clearance is required
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New, Posted 1 day ago
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Lead Specialist, Federal Data Science

KPMG

Washington, DC 20007

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
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Sr. Infrastructure Reliability Engineer, Infrastructure Reliability & Quality

Amazon Data Services

Herndon, VA 20171

~ 34 min 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.
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New, Posted 15 hours ago
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Head of Data & Analytics (Remote)

GlobalGiving Foundation

Parcel Return Service, DC 56904

RemoteFlexible Schedule
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Compliance Audit / Investigator / Coder - CCS / CPC / or CCA

MedStar Health

Washington, DC 20024

$117,291/yr
Onsite

  • High School Diploma or GED required
  • 4 years related experience required
  • CCS-Certified Coding Specialist
  • At least one coding credential required: Certified Coding Specialist (CCS), Certified Coding Associate (CCA), or Certified Professional Coder (CPC) required
  • Must be proficient with MS Office (Word, Excel, PowerPoint, and Outlook).
  • Proficient knowledge of Medicaid, Medicare, and other third party payer requirements pertaining to documentation, coding, billing, and reimbursement.
  • Proficient with performing coding and documentation reviews.
  • Strong working knowledge of health care and provide billing regulations related to payer reimbursement policies and CPT/HCPCS coding guidelines.
  • Maintain confidentiality and comply with Health Insurance Portability and Accountability Act (HIPAA).
  • Demonstrated knowledge of and skill in data collection analysis and/or interpretation of provider claims data.
  • Prior coding and documentation auditing experience is required in a provider or insurance environment.
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Senior Specialist, Federal Data Science

KPMG

Washington, DC 20004

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Systems Engineer

Fibertek

Fort Belvoir, VA 22060

~ 27 min Onsite

  • A bachelorâ s degree in Aerospace, Electrical, Mechanical, Optical, or Systems Engineering, or a related technical STEM discipline; equivalent military experience may be considered
  • A minimum of 10 years of progressive systems engineering and Test and Evaluation (T&E;) experience supporting defense acquisition programs
  • Demonstrated experience supporting acquisition-level qualification, verification, and T&E; activities across the full acquisition life cycle
  • Working knowledge of U.S. Army T&E; processes, including coordination with ATEC, RTC, and other government test stakeholders
  • Demonstrated ability to lead complex T&E; efforts in support of Government program objectives with limited day-to-day direction
  • Experience developing, reviewing, or assessing test plans, procedures, readiness documentation, and test reports for complex defense systems
  • Experience supporting the development, integration, qualification, or test and evaluation of EO/IR systems, seekers, sensors, or other complex electro-optical payloads
  • Strong technical briefing, analytical, and technical writing skills
  • Ability to effectively communicate technical results, risks, and recommendations to government and contractor stakeholders
  • U.S. citizenship is required
  • Active DoD Secret clearance
SmartExplore AI is experimental.
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New, Posted 15 hours ago
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Head of Data & Analytics (Remote)

GlobalGiving Foundation

Washington, DC 20289

RemoteFlexible Schedule
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