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Data Stage

Silver Spring,MD

2259 Data Stage jobs in Silver Spring,MD

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Sr. Infrastructure Reliability Engineer, Infrastructure Reliability & Quality

Amazon Data Services

Herndon, VA 20171

~ 37 min OnsiteHealth 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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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.
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Lead Specialist, Federal Data Science

KPMG

Washington, DC 20004

~ 22 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
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GD164 Technical Data Curator

Adnet Systems

Greenbelt, MD 20768

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Data Analytics Team Lead

Parsons Corporation

Washington, DC 20080

Flexible Schedule
New, Posted 22 hours ago
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Data Center Category Manager, Data Center Sourcing&Procurement

Amazon Data Services

Arlington, VA 22201

Financial Data and Analytics Manager

JENSEN HUGHES

Columbia, MD 21045

Digital Program Manager

Datavant

Washington, DC 20080

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Data Scientist, Mid

BOOZ, ALLEN & HAMILTON

Alexandria, VA 22304

RemoteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

  • Experience with Python, PySpark, SQL, or Databricks
  • Experience with data engineering and analytics, delivering actionable insights and performance met rics
  • Experience building and maintaining automated ETL pipelines leveraging API integrations to efficiently ingest, transform, and deliver data across systems
  • Experience extracting and structuring information from unstructured sources such as reports and documents, into clean, analysis-ready data
  • Experience mentoring junior analysts
  • Ability to communicate complex technical concepts clearly and effectively to both technical teams and executive stakeholders
  • TS/SCI clearance
  • HS diploma or GED and 7+ years of experience as a data scientist, Bachelor's degree and 6+ years of experience as a data scientist, or Master's degree and 5+ years of experience as a data scientist
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New, Posted 12 hours ago
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Delivery Consultant- Data, WWPS ProServe Data and Machine Learning

Amazon

Arlington, VA 22201

~ 32 min OnsiteHealth InsurancePaid Time OffRetirement Benefit

  • Bachelor's degree in business administration, finance, economics, computer science, data science, engineering, or other related field
  • Experience with SQL, Python, schema definition, and software engineering best practices including secure, testable, and maintainable code
  • Understanding of distributed systems, data integration techniques (ETL vs. federation), database optimization (partitioning, indexing), and relational database performance tuning
  • Current, active US Government Security Clearance of Top Secret or above
  • This position requires that the candidate selected be a US Citizen and currently possess and maintain an active Top Secret security clearance.
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