Ground every answer in facts on this page and the original listing. We never invent Glassdoor-style reviews or salaries that are not in our data.
Strong fit if you lead applied modeling from messy data to decisions, mentor others, and thrive on-site in Reston. Thin public company data for Securiport1 means you should probe mission, stack, and team structure in interviews.
As a Senior Data Scientist at Securiport1 in Reston, you would typically clean and process large datasets, build and compare predictive models with statistical metrics, apply feature selection and sampling, and deliver charts or visualizations that support product and operational decisions—not remote work based on this listing.
No—the listing indicates an on-site Senior Data Scientist role in Reston, VA.
Per O*NET, data scientists analyze large datasets, select features, compare models, and visualize results for decision-makers.
Ask about data sources, production ML vs. research mix, evaluation metrics, and how seniors partner with engineering and product.
Public-domain labor data — prepare examples for 2–3 of these.
Securiport1 is seeking a Senior Data Scientist for a full-time position based in Reston, VA. This opportunity invites experienced professionals to apply advanced analytics and machine learning to complex challenges while working on site with a collaborative team near Reston, VA. About the Role The Senior Data Scientist role at Securiport1 in Reston, VA calls for an individual who can own end-to-end data science initiatives, from problem framing through model deployment and continuous improvement. You will partner with stakeholders to surface actionable insights, set technical direction on analytical projects, and mentor colleagues while delivering measurable business impact. This full-time Senior Data Scientist position is located in Reston, VA and is ideal for candidates ready to deepen their expertise in a supportive setting. Responsibilities Design, build, and validate statistical models, machine-learning algorithms, and predictive pipelines that address high-priority organizational questions. Extract, clean, and explore large structured and unstructured datasets to uncover patterns and generate reliable insights. Translate analytical findings into clear recommendations and visualizations for technical and non-technical audiences. Collaborate cross-functionally to define success metrics, experiment designs, and data product roadmaps. Establish and promote best practices for data quality, feature engineering, model monitoring, and documentation. Guide junior data scientists through code reviews, pair problem-solving, and knowledge-sharing sessions. Stay current with emerging methods in machine learning, statistics, and related tooling, then evaluate their practical value for ongoing work. Requirements Advanced degree (Master’s or Ph.D.) in computer science, statistics, mathematics, engineering, or a related quantitative field, or equivalent practical experience. Several years of hands-on experience as a data scientist or in a closely related role, with demonstrated ownership of production models. Strong proficiency in Python or R for data analysis, plus solid SQL skills for querying relational data stores. Working knowledge of modern machine-learning libraries and frameworks, experimental design, and model-evaluation techniques. Ability to communicate complex technical concepts clearly in both written and spoken form. Proven track record of working effectively with product, engineering, and business partners in a professional environment. Experience with cloud platforms, version control, and data-pipeline tools is preferred but not required. More About Securiport1 Securiport1 is hiring for this…
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