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Remote Statistical Programmer Jobs in Leesburg, VA

Booz Allen Hamilton, Inc.

AI/ML Engineer, Lead

Ashburn, VA · On-site +1

$104K - $138K/yr

Remote Work: Hybrid Job Number: R0246710 Location: Ashburn,VA,US Share job via: Share AI/ML ... Your ability to conduct statistical analyses on business processes using ML techniques makes you an ...

Booz Allen Hamilton, Inc.

AI & ML Engineer

Chantilly, VA · On-site +1

$99K - $225K/yr

Remote Work: No Job Number: R0242901 Location: Chantilly,VA,US Share job via: Share AI & ML ... Your ability to conduct statistical analyses on business processes using ML techniques makes you an ...

System One

Legacy .NET Developer

Vienna, VA · Remote

Hybrid - onsite and remote Responsibilities * Identify business requirements (e.g., needs ... Extensive experience in the application of statistical methods, mathematical techniques ...

System One

Legacy .NET Developer

Vienna, VA · Remote

Hybrid - onsite and remote Responsibilities * Identify business requirements (e.g., needs ... Extensive experience in the application of statistical methods, mathematical techniques ...

System One

Legacy .NET Developer

Vienna, VA · Remote

Hybrid - onsite and remote Responsibilities * Identify business requirements (e.g., needs ... Extensive experience in the application of statistical methods, mathematical techniques ...

Booz Allen Hamilton, Inc.

AI and ML Engineer

Chantilly, VA · On-site +1

$99K - $225K/yr

Remote Work: No Job Number: R0245368 Location: Chantilly,VA,US Share job via: Share AI and ML ... Your ability to conduct statistical analyses on business processes using ML techniques makes you an ...

Booz Allen Hamilton, Inc.

AI/ML Engineer, Mid

Chantilly, VA · On-site +1

$77K - $176K/yr

Remote Work: No Job Number: R0245169 Location: Chantilly,VA,US Share job via: Share AI/ML Engineer ... Your ability to conduct statistical analyses on business processes using ML techniques makes you an ...

Halvik

Machine Learning Engineer - Remote

Vienna, VA · On-site +1

$140K - $150K/yr

Engineer high-quality features and maintain training/inference pipelines. Cloud and Platform ... Strong understanding of mathematics and statistics relevant to machine learning and AI. * Proven ...

SAIC

Data Scientist Lead

Chantilly, VA · On-site +1

$160K - $200K/yr

Engineering and Sciences Subcategory: Modeling/Sim Engr Schedule: Full-Time Shift: Day Job Travel ... None Potential for Remote Work: ORA_ON_SITE Description SAIC is seeking a Data Scientist Lead to ...

SAIC

Data Scientist Principal

Chantilly, VA · On-site +1

$160K - $200K/yr

Engineering and Sciences Subcategory: Modeling/Sim Engr Schedule: Full-Time Shift: Day Job Travel ... None Potential for Remote Work: ORA_ON_SITE Description SAIC is hiring a Data Scientist Principal ...

SAIC

Data Scientist

Chantilly, VA · On-site +1

$200K - $240K/yr

Engineering and Sciences Subcategory: Modeling/Sim Engr Schedule: Full-Time Shift: Day Job Travel ... None Potential for Remote Work: ORA_ON_SITE Description  SAIC is hiring a Data Scientist to ...

ICF

Manager, Data Analytics - Remote

Reston, VA · Remote

Support advanced analytics capabilities, including statistical analysis, predictive modeling, trend ... Partner with cybersecurity, engineering, product, and program management teams to align data ...

Booz Allen Hamilton, Inc.

AI Researcher

Chantilly, VA · On-site +1

$99K - $225K/yr

Knowledge of model architecture, statistics, and object-oriented programming * Ability to translate ... Remote : If this position is listed as remote, there may still be occasions when you are required ...

Booz Allen Hamilton, Inc.

Data Scientist

Chantilly, VA · On-site +1

$99K - $225K/yr

Experience with data cleansing, data analytics, inferential statistics, programming, data ... Remote : If this position is listed as remote, there may still be occasions when you are required ...

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All JobsStatistical Programmer JobsRemote Statistical Programmer JobsRemote Statistical Programmer Jobs in Leesburg, VA

Remote Statistical Programmer information

See Leesburg, VA salary details

$85.5K

$149K

$251.9K

How much do remote statistical programmer jobs pay per year?

As of Sep 12, 2026, the average yearly pay for remote statistical programmer in Leesburg, VA is $148,982.00, according to ZipRecruiter salary data. Most workers in this role earn between $126,400.00 and $161,800.00 per year, depending on experience, location, and employer.

What is a remote statistical programmer?

A remote statistical programmer is a professional who uses statistical software and programming languages to analyze data, typically for research, clinical trials, or business insights, while working from a location outside of a traditional office environment. They are responsible for managing, cleaning, and organizing large datasets, and for developing programs that generate statistical analyses and reports. Remote statistical programmers often collaborate with statisticians, data scientists, and project teams using online communication tools. This role requires strong skills in programming languages such as SAS, R, or Python, and attention to detail when handling complex data. Working remotely provides flexibility but also requires good time management and communication skills.

What does a remote statistical programmer do?

As a remote statistical programmer, you use programming techniques to produce useful data sets from raw data. In this role, you may evaluate the programming needs of each project, use validation techniques to ensure the accuracy of all data sets your programs make, and manage both a database and the operating environment of your software. Remote statistical programmers often work from home and collaborate with other programmers through video calls, voice chat, or remote office software. This job is also known as SAS, which stands for statistical analysis system programming, and companies may advertise under either title.

What are the key skills and qualifications needed to thrive as a remote statistical programmer, and why are they important?

To thrive as a Remote Statistical Programmer, you need strong proficiency in statistics, data analysis, and programming languages like SAS or R, typically supported by a degree in statistics, mathematics, or a related field. Familiarity with statistical software, clinical trial data standards (such as CDISC), and regulatory submission requirements is often necessary. Attention to detail, problem-solving ability, and effective remote communication are essential soft skills for collaborating with cross-functional teams. These competencies ensure high-quality data analysis, regulatory compliance, and seamless teamwork in a remote environment.

How do remote statistical programmers typically collaborate with cross-functional teams despite working remotely?

Remote Statistical Programmers often work closely with biostatisticians, data managers, and clinical research associates using collaborative tools such as video conferencing, project management platforms, and secure data-sharing systems. Regular virtual meetings are scheduled to discuss project progress, address data or programming issues, and align on analysis plans. Clear documentation and version control are essential to ensure seamless teamwork and maintain data integrity. Effective communication skills and proactive updates help bridge the physical distance and contribute to successful project outcomes.

What is the difference between Remote Statistical Programmer vs Clinical Data Analyst?

AspectRemote Statistical ProgrammerClinical Data Analyst
Required CredentialsBachelor's/Master's in Biostatistics, Statistics, or related field; programming skills in SAS, R, or PythonBachelor's/Master's in Statistics, Data Science, or related; strong analytical and statistical skills
Work EnvironmentRemote or office-based, collaborating with biostatistics teams in clinical trialsRemote or on-site, analyzing clinical data to support study outcomes
Employer & Industry UsagePharmaceuticals, biotech, CROs, clinical research organizationsPharmaceuticals, healthcare, research institutions, CROs

Remote Statistical Programmers focus on programming and data management for clinical trials, while Clinical Data Analysts interpret and analyze clinical data. Both roles require strong statistical skills and often work in similar environments within the healthcare and pharmaceutical industries, but their core responsibilities differ.

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What are popular job titles related to Remote Statistical Programmer jobs in Leesburg, VA?

For Remote Statistical Programmer jobs in Leesburg, VA, the most frequently searched job titles are:

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Cities near Leesburg, VA with the most Remote Statistical Programmer job openings:

Remote Statistical Programmer jobs near you
Infographic showing various Remote Statistical Programmer job openings in Leesburg, VA as of August 2026, with employment types broken down into 75% Full Time, 10% Part Time, and 15% Contract. Highlights an 100% Remote job distribution, with an average salary of $148,982 per year, or $71.6 per hour.

AI/ML Engineer, Lead

Ashburn, VA • On-site, Remote

Booz Allen Hamilton, Inc.
IT Services • 10K+ employees
Learn more about Booz Allen Hamilton, Inc.external

$104K - $138K/yr

Full-time, Part-time

Medical, Life, Retirement, PTO

Re-posted yesterday

Key responsibilities

  • Design, develop, and deploy machine learning models and AI systems for large-scale production environments.

  • Lead end-to-end ML lifecycle processes including data exploration, feature engineering, experimentation, model training, evaluation, and deployment.

  • Architect scalable ML pipelines and infrastructure using modern frameworks and cloud technologies.

Booz Allen Hamilton rating

8.9

Company rating: 8.9 out of 10

Based on 49 frontline employees who took The Breakroom Quiz

Job description


Remote Work:
Hybrid
Job Number:
R0246710
Location:
Ashburn,VA,US
Share job via:
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AI/ML Engineer, Lead
The Opportunity:
As an AI/Machine Learning Engineer, you'll lead the design, development, and deployment of advanced AI and ML systems that support enterprise products and strategic initiatives. This role combines deep technical expertise with the ability to collaborate across engineering, product, and data teams. The ideal candidate has extensive experience building production-grade ML models, optimizing model performance, and guiding architectural decisions around scalable AI systems. As an experienced engineer, you know that machine learning is critical to understanding and processing massive datasets. Your ability to conduct statistical analyses on business processes using ML techniques makes you an integral part of delivering a customer-focused solution.
What You'll Do:
  • Design, develop, and deploy machine learning models and AI systems for large-scale production environments.
  • Lead end-to-end ML lifecycle processes including data exploration, feature engineering, experimentation, model training, evaluation, and deployment.
  • Architect scalable ML pipelines and infrastructure using modern frameworks and cloud technologies.
  • Collaborate with cross-functional stakeholders to translate business requirements into ML-driven solutions.
  • Mentor junior engineers and contribute to best practices, coding standards, and technical excellence.
  • Evaluate and integrate emerging AI technologies, tools, and frameworks aligned with organizational goals.
  • Monitor and optimize deployed models for accuracy, performance, drift, reliability, and ethical considerations.
  • Partner with data engineering teams to ensure high-quality datasets and robust pipeline integrations.
  • Design, build, and deploy large language model (LLM) and agentic AI solutions, including multi-agent orchestration, tool use, autonomous workflows, and retrieval-augmented generation (RAG).
  • Optimize and deploy AI/ML models for edge environments, applying techniques such as quantization, pruning, and distillation to enable low-latency inference on resource-constrained and edge devices.

Work with us to solve real-world challenges and define ML strategy for law enforcement and homeland security clients.
Join us. The world can't wait.
You Have:
  • 8+ years of experience developing and deploying machine learning models in production environments
  • Experience in Python and ML frameworks
  • Experience with cloud platforms, such as AWS, Azure, or GCP, and tools for scalable ML systems, such as SageMaker, Azure ML, or Vertex AI
  • Experience building data pipelines
  • Experience with MLOps practices including CI/CD for ML, model versioning, monitoring, and deployment automation
  • Knowledge of ML algorithms, statistics, model optimization, and evaluation methodologies
  • Ability to design distributed systems and work with microservice-based architectures
  • Ability to communicate complex technical concepts clearly to non-technical stakeholders
  • Ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements
  • Bachelor's degree in a Computer Science, Data Science, or Engineering field

Nice If You Have:
  • Experience with LLMs, generative AI, RAG systems, and prompt engineering
  • Experience building agentic AI systems, including multi-agent frameworks, autonomous agents, tool and function calling, orchestration libraries such as LangChain, LangGraph, LlamaIndex, AutoGen, or CrewAI
  • Experience with edge AI optimization and deployment, including model quantization, pruning, and distillation, and deployment to edge and embedded hardware using frameworks such as TensorRT, ONNX Runtime, OpenVINO, or TensorFlow Lite
  • Experience with open-source containerization and container orchestration technologies, including Docker and Kubernetes
  • Experience with MLOps for production and machine learning workloads
  • Possession of strong problem-solving skills
  • Master's degree preferred; Doctorate degree a plus

Vetting:
Applicants selected will be subject to a government investigation and may need to meet eligibility requirements of the U.S. government client.
Compensation
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $128,700.00 to $292,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date.
Identity Statement
As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.
Candidate AI Usage Policy
AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.
Work Model
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.
  • Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
  • Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.
  • Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.
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About Booz Allen Hamilton

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Booz Allen Hamilton is a leading provider of management and technology consulting services to the US government in defense, intelligence, and civil markets. Headquartered in McLean, Virginia, the firm also serves major corporations, institutions, and not-for-profit organizations. Founded in 1914 by Edwin G. Booz, the company has a long-standing tradition of helping clients achieve success by delivering a wide range of consulting services that include strategic planning, human capital and learning, communication, systems development, and others. The company's mission is to empower people to change the world, and it has a reputation for maintaining the highest standards of integrity and-excellence.

Industry

It services

Company size

10,000+ Employees

Headquarters location

McLean, VA, US

Year founded

1914

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