2662 Statistician jobs in Ashburn,VA

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.

Full-Time Store Manager Trainee

ALDI

Fairfax, VA 22038

Leidos

Great Falls, VA 22066

An active TS/SCI clearance with willingness to obtain a Polygraph is required to be considered.
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.