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Statistical Engineering Jobs in Virginia (NOW HIRING)

AI/ML Engineer Specialist

Arlington, VA · On-site +1

$208K - $381K/yr

Bachelor's degree in Computer Science, Statistics, Engineering or other related discipline * 12+ years of experience * 3+ years of software engineering experience with deep proficiency in Python

AI/ML Engineer Specialist

Arlington, VA · On-site +1

$208K - $381K/yr

Bachelor's degree in Computer Science, Statistics, Engineering or other related discipline * 12+ years of experience * 3+ years of software engineering experience with deep proficiency in Python

Senior Data Engineer

Arlington, VA · Hybrid

$121K - $165K/yr

Bachelor of Science degree in a relevant field such as statistics, computer science, economics, mathematics, analytics, data science, data engineering, business, or social sciences * 8+ years of ...

Senior Data Engineer

Arlington, VA · On-site

$122K - $165K/yr

Bachelor of Science degree in a relevant field such as statistics, computer science, economics, mathematics, analytics, data science, data engineering, business, or social sciences * 8+ years of ...

$63K/yr

... and statistical sciences in order to design, test or upgrade software. Experience in administrative aspects of task engineering and management, e.g., procurement policies, preparation of work ...

Senior AI Engineer

Alexandria, VA · Hybrid

$131K - $237K/yr

Bachelor's, Master's, or equivalent graduate degree in a quantitative or analytical field (Computer Science, Mathematics, Statistics, Engineering, Physics, Computational Social Science, etc.

$63K/yr

... and statistical sciences in order to design, test or upgrade software. Experience in administrative aspects of task engineering and management, e.g., procurement policies, preparation of work ...

Use engineering and statistical software to perform analyses; assist in developing tools to perform analyses where none exist * Conduct and present the results of engineering studies * Perform ...

Use engineering and statistical software to perform analyses; assist in developing tools to perform analyses where none exist * Conduct and present the results of engineering studies * Perform ...

Use engineering and statistical software to perform analyses; assist in developing tools to perform analyses where none exist * Conduct and present the results of engineering studies * Perform ...

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Showing results 1-20

Statistical Engineering information

What are the key skills and qualifications needed to thrive as a Statistical Engineer, and why are they important?

To thrive as a Statistical Engineer, you need strong quantitative analysis skills, a background in statistics or mathematics, and often a relevant degree such as in engineering or applied statistics. Proficiency with statistical software (e.g., R, SAS, Python), data management systems, and sometimes Six Sigma certification is typically required. Critical thinking, problem-solving, and clear communication are crucial soft skills for interpreting data and collaborating with multidisciplinary teams. These skills ensure accurate data-driven decisions, efficient process improvements, and effective solutions to complex engineering challenges.

What is the difference between Statistical Engineering vs Data Scientist?

AspectStatistical EngineeringData Scientist
Required credentialsStatistics, Data Analysis, EngineeringStatistics, Computer Science, Data Analysis
Work environmentManufacturing, R&D, Engineering teamsBusiness, Tech, Research sectors
Employer usageOptimizing processes, designing experimentsBuilding models, insights, predictive analytics

Statistical Engineering focuses on applying statistical methods to improve engineering processes and product development, often within manufacturing or R&D settings. Data Scientists analyze large datasets to extract insights, build predictive models, and support business decisions. While both roles require strong statistical skills, Statistical Engineering emphasizes process optimization and experimental design, whereas Data Scientists focus on data-driven insights across diverse industries.

How does a Statistical Engineer typically collaborate with cross-functional teams to implement data-driven solutions?

Statistical Engineers frequently work alongside data scientists, software engineers, and business analysts to design and implement robust data-driven solutions. They are responsible for translating complex statistical models into actionable insights and ensuring that these models are integrated effectively within existing systems. Collaboration often involves regular meetings to align on project goals, sharing progress updates, and troubleshooting technical challenges together. This interdisciplinary teamwork is essential for ensuring that statistical methodologies are not only theoretically sound but also practically applicable to real-world business problems.

What is statistical engineering?

Statistical engineering is an interdisciplinary field that focuses on the integration and application of statistical methods and principles to solve complex, large-scale problems in science, business, and engineering. It involves designing data collection processes, analyzing and interpreting data, and implementing statistical solutions within larger systems. Statistical engineers often work on projects that require collaboration with other engineering disciplines, using statistics as a foundational tool to drive decision-making and innovation.
What are popular job titles related to Statistical Engineering jobs in Virginia? For Statistical Engineering jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Statistical Engineering jobs in Virginia look for? The top searched job categories for Statistical Engineering jobs in Virginia are:
What cities in Virginia are hiring for Statistical Engineering jobs? Cities in Virginia with the most Statistical Engineering job openings:
AI/ML Engineer Specialist

AI/ML Engineer Specialist

ManTech

Arlington, VA • On-site, Remote

$208K - $381K/yr

Other

Medical, Life, Retirement, PTO

Re-posted 3 days ago


ManTech rating

9.0

Company rating: 9.0 out of 10

Based on 14 frontline employees who took The Breakroom Quiz

30th of 209 rated software companies


Job description

Description & Requirements
Elevate your career with MANTECH International Corporation! Join a dynamic team dedicated to national security through cutting-edge technology. Since 1968, MANTECH has led in delivering advanced solutions to government intelligence, the Department of Defense, and Federal Civilian sectors. Dive into innovation in Digital Transformation, Cybersecurity, IT, Data Analytics and Software Development. Your journey to impactful work and rapid growth starts now-be extraordinary at MANTECH!
***This is for a future opportunity***
Job Description

MANTECH seeks a motivated, career and customer-oriented AI/ML Engineer Specialist to join our team. On-site at the Pentagon.


Summary:
Join a dynamic and diverse team at an industry-leading organization where our employees are our top priority. At MANTECH, you'll contribute to protecting national security while working on cutting-edge AI/ML projects. You'll have the opportunity to push the boundaries of AI/ML innovation in support of our government clients. ManTech also provides excellent opportunities for career growth and advancement. We are currently seeking a motivated, career-oriented, and customer-focused Senior AI/ML Engineer to join our team full-time.
Responsibilities include, but are not limited to:

  • Provides technical/management leadership on major tasks or technology assignments. Establishes goals and plans that meet project objectives.

  • Directs and controls activities for a client, having overall responsibility for financial management, methods, and staffing to ensure that technical requirements are met.

  • Interactions involve client negotiations and interfacing with senior management.

  • Decision making and domain knowledge may have a critical impact on overall project implementation.

  • Develop and implement infrastructure for training, validating, and deploying machine learning models

  • Create reusable components and libraries to accelerate AI/ML development and use of Generative AI capabilities

  • Build model serving platforms for efficient inference

  • Design systems for model monitoring and performance tracking

  • Develop tools for model explainability and interpretability

  • Optimize AI/ML algorithms for performance and scalability

Minimum Qualifications:

  • Bachelor's degree in Computer Science, Statistics, Engineering or other related discipline

  • 12+ years of experience

  • 3+ years of software engineering experience with deep proficiency in Python

  • Proven experience operationalizing Machine Learning models in production environments

  • Hands-on experience with model evaluation, versioning, and CI/CD integration

  • Strong API development skills

  • Familiarity with MLOps frameworks such as AWS SageMake, MLflow, Kubeflow, or Airflow.

  • Expertise in scalable model serving platforms such as TensorFlow Serving, TorchServe, or ONNX runtime.

  • Advanced knowledge of cloud platforms (e.g., AWS, Azure, or GCP) and DevOps practices including Terraform or Helm.
     

Preferred Qualifications:

  • Master's degree in Computer Science, Statistics, Engineering or other related discipline

  • 14+ years of experience

  • Experience with Kubernetes and deploying containerized ML services

  • Experience working with feature stores

  • Experience utilizing Databricks or similar cloud-native ML tooling

  • Experience working with feature stores and distributed data frameworks (e.g., Spark).

  • Proficiency in model interpretation tools like SHAP or LIME.

  • Foundational understanding of linear algebra, calculus, and numerical computation to support algorithm optimization.

Clearance Requirements:

  • US Citizenship with a DoD Top Secret clearance.

Physical Requirements:

  • Must be able to remain in a stationary position 50%

  • Frequently communicates with co-workers, management, and customers, which may involve delivering presentations


The projected compensation range for this position is $208,100.00-$381,100.00. There are differentiating factors that can impact a final salary/hourly rate, including, but not limited to, Contract Wage Determination, relevant work experience, skills and competencies that align to the specified role, geographic location (For Remote Opportunities), education and certifications as well as Federal Government Contract Labor categories.  In addition, MANTECH invests in its employees beyond just compensation.  MANTECH's benefits offerings include, dependent upon position, Health Insurance, Life Insurance, Paid Time Off, Holiday Pay, short-term and long-term Disability, Retirement and Savings, Learning and Development opportunities, wellness programs as well as other optional benefit elections.

MANTECH considers all qualified applicants for employment without regard to disability or veteran status or any other status protected under any federal, state, or local law or regulation.
If you need a reasonable accommodation to apply for a position with MANTECH, please email us at careers@mantech.com and provide your name and contact information.

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