8460 Analytical Development Associate Biotech jobs in Annandale,VA

This position requires an active TS/Sensitive Compartmental Information (SCI) clearance or the ability to obtain a TS/Sensitive Compartmental Information (SCI)clearance to be considered.
A government contract requires that this position be restricted to U.S. citizens or legal permanent residents. You must provide documentation that you are a U.S. citizen or legal permanent resident to qualify.
Master's Degree (MS) from an accredited college or university in civil, mechanical, material, or industrial engineering or a closely related technical field in engineering and physical sciences
Ten plus (10+) years of experience in Science and Technology Development.
Demonstrated knowledge of Experimentation Planning and Operations Research methods to include Data Collection and Analysis Plan (DCAP), Modeling and Simulation, Wargaming, Technology Innovation Games (TIG), and other analytical methods to provide decision support to leadership for S&T; investments.
Ability to produce technical execution reports and reports on technical progress of S&T; portfolio and update collaboration sites as necessary.
Must have an active TS/SCI Clearance.
Proficiency with commercial office productivity software packages; at a minimum, Microsoft Office 365 (specifically, Word, Power Point, Outlook, SharePoint Online, Teams and Excel).
An active US Passport for occasional travel (OCONUS to UK)
Must successfully pass a drug screen and federal background check as a condition of employment.

Business Analyst, Worldwide Grocery, Merch Ops Business Analytics

Amazon

Arlington, VA 22212

Navy Federal Credit Union

Vienna, VA 22184

The United States Secret Service

Washington, DC 20022

Amazon Data Services

Chantilly, VA 20151

AMTRAK

Washington, DC 20001

Leidos

Springfield, VA 22151

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.