3897 Statistician jobs in Reston,VA

Expert Statistician/Mathematician - Quality Assurance Framework (QAF) Oversight & Monitoring

Peraton

Herndon, VA 20170

Master's degree in a relevant field, such as Statistics/ Mathematics or Computer Science, etc., with a minimum of 20 years of work experience.
Expertise in Statistics/ Mathematics application and QAF Oversight & Monitoring.
Strong analytical and critical thinking skills to interpret complex data and draw meaningful conclusions.
Experienced in utilization of the Quality Assurance Framework and standards.
Experienced in advanced analytics, machine learning, and data integration methodologies.
Experienced with intelligence databases, software, and analytical tools.
Ability to work collaboratively with users and stakeholders.
Capacity to adapt to changing situations to prioritize tasks effectively.
Excellent communication, analytical, and problem-solving skills.
This Position requires an Active TS/SCI and the ability to obtain a Poly, US Citizenship is required to hold this clearance.

Apple, Inc.

Reston, VA 22096

Navy Federal Credit Union

Vienna, VA 22184

Leidos

Great Falls, VA 22066

Active TS/SCI clearance with willingness to obtain a Polygraph.
Bachelor's degree and 12+ years of relevant experience, or Master's degree and 10+ years of relevant experience in Data Science, Computer Science, Analytics, or related field. Additional experience may be considered in lieu of degree.
Demonstrated senior-level experience designing, training, and deploying machine learning models.
Strong coding skills in Python (or similar), with experience building scalable and maintainable solutions.
Demonstrated experience applying data science methodologies (machine learning, statistical analysis, data engineering) to real-world problems.
Experience structuring and processing large, complex, and unstructured datasets.
Experience processing unstructured data and documents (e.g., text, reports, open-source content).
Experience developing or supporting NLP capabilities, including querying across aggregated data sources.
Strong understanding of data pipelines, feature engineering, and model evaluation techniques.
Experience working with geospatial data and integrating spatial context into analytic workflows.
Strong research, critical thinking, and analytic writing skills.
Familiarity with working in high-side (classified) environments.
Experience operating effectively in fast-paced, mission-driven environments both independently and as part of a team.