890 Engineering Data Scientist jobs in Arlington,VA

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Data Scientist, Mid

BOOZ, ALLEN & HAMILTON - Washington, DC

Data Scientist, Mid

Paid Relocation to Washington, DC

RemoteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

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Data Scientist

BOOZ, ALLEN & HAMILTON

Washington, DC 20011

RemoteUrgently HiringEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

Experience with data exploration, data cleaning, data analysis, data visualization, data science, or data mining
Experience with statistical and general-purpose programming languages for data analysis such as Python, R, or SQL
Knowledge of statistical analysis, predictive modeling, and machine learning methods
Ability to design and develop automated analytic software, techniques, and algorithms
TS/SCI clearance
Bachelor's degree

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Data Scientist - Experienced to Expert Level (Maryland)

National Security Agency

Arlington, VA 22204

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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

SmartExplore AI is experimental.

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Manager, Economic Services - Data Science

KPMG

Washington Navy Yard, DC 20398

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Additive Manufacturing Scientist

Johns Hopkins Hospital

Laurel, MD 20723

$105,000/yr

~ 39 min OnsiteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

Possess a M.S Degree in Mechanical and or Electrical Engineering, Materials characterization, data science, or a related field.
5+ years of demonstrated experience related to manufacturing research, focusing on additive manufacturing.
Understand the unique capabilities of additive processing, including complex material properties, stemming from process defects, microstructure and thermodynamic solidification.
Experience in generating and interpreting data utilized to enable qualifying AM produced hardware.
Have demonstrated experience leading a team to achieve impactful results.
Are an excellent communicator, in written and oral formats, and for a variety of audience types including high-level government sponsors.
Demonstrated history of authoring proposals and high impact publications.
Are willing and able to perform work in a laboratory setting and travel for field testing, sponsor visits, conference attendance, and presentations.
Are able to obtain a Secret level security clearance. If selected, you will be subject to a government security clearance investigation and must meet the requirements for access to classified information. Eligibility requirements include U.S. citizenship.

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Data Scientist - Workforce Analytics

ManTech

Springfield, VA 22150

~ 20 min Onsite

Bachelor's Degree or higher in Operations Research, Mathematics, Statistics, Data Science, or a related quantitative field.
7+ years of progressively responsible experience in social science or workforce analytics-related fields.
Experience conducting qualitative and quantitative data analysis using descriptive and inferential statistics such as ANOVA, t-tests, and regression modeling.
Experience with and demonstrated ability to extract and synthesize complex information to prepare briefings, read-aheads, and presentations with high attention to detail.
Experience and proficiency with data science and visualization tools, predominantly Tableau, as well as Python, R, or SQL.
Experience utilizing human capital data regarding promotion, attrition rates, and internal churn within an EEO context.
An active TS/SCI with the ability to obtain and maintain a Polygraph.
Must be able to remain in a stationary position 50%.
Constantly operates a computer and other office productivity machinery, such as a copier, scanner, and computer printer.
Frequently communicates with co-workers, management, and customers, which may involve delivering presentations.
Must be able to exchange accurate information in these situations.

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Systems Engineer - Data Requirement Focus

BAE Systems

Rockville, MD 20850

~ 33 min OnsiteHealth InsurancePaid Time OffRetirement Benefit

Bachelor's degree in an Engineering field (Aerospace, Electrical, or Systems Engineering referred) and 4 years professional work experience OR Master's degree in Engineering and 2 years professional work experience
Ability to lead and drive documentation changes to completion
Ability to public speak and present confidentally to customer and large groups of stakeholders, both virtually and in-person (This is vital to perform this role successfully)
Strong analytical and technical problem-solving skills, and takes initiative
Excelent oral, written, and interpersonal communication skills to interact with various teams internally
Strong understanding of engineering principles
Capable to adeptly research and understand SWS interface data requirements using SSP documentation available to BAE Systems
Innovative & Determined mindset
Proficiency in Microsoft Office tools
Ability to obtain a clearance
A limited amount of travel to off-site locations could be required

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Data Scientist - Experienced to Expert Level (Maryland)

National Security Agency

Seven Corners, VA 22044

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AI & Analytics Solutions Engineer

Trident Maritime Systems

Arlington, VA 22202

Onsite

Bachelor's degree in Computer Science, Engineering, Data Science, Mathematics, or a related technical field
3-5+ years of experience building and deploying machine learning or AI systems
Eligibility to work within government tenants (GCC, GCCH) and with FEDRAMP compliant solutions
Certifications in MS Azure, Dev Ops, Analytics, and AI
Strong programming skills in Python and SQL
Experience with machine learning model development, including supervised, unsupervised, and deep learning techniques
Familiarity with cloud platforms (e.g. Azure) and GPU-accelerated computing
Experience integrating AI models with enterprise systems, APIs, or edge devices
Experience with M365 Copilot deployment and Copilot Studio
Experience using Microsoft's Power Platform (Power Automate, Power BI, etc.)
Hands-on experience with ML Ops tools (ML flow, Kubeflow, Airflow, Docker, Kubernetes, CI/CD pipelines)
Strong understanding of data structures, algorithms, and software engineering best practices
Strong problem-solving mindset and curiosity
Ability to translate ambiguous business needs into technical solutions
Comfortable working in fast-paced, iterative environments
Clear communication with both technical and nontechnical stakeholders
Understanding of AI governance, model monitoring, and responsible AI practices
Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions
All Trident Maritime Systems employees are encouraged to be fully vaccinated against COVID-19