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Senior Data Scientist

  • Company: Securiport1
  • Location: Reston, VA
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  • New
  • Full Time
  • Reston, VA
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Securiport1 — company details are preparing and update automatically in a few seconds (or refresh).

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 role and offers a supportive team environment.

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To apply for this job please visit securiport1.bamboohr.com.

Local insights for this role are preparing — this section updates automatically in a few seconds (or refresh).

Listing facts

  • Role Senior Data Scientist
  • Employer Securiport1
  • Location Reston, VA
  • Type Full Time
  • Posted July 16, 2026
  • Apply by 2026-08-15
  • Country context US
  • Overview Full original description on this page (384 words; rewritten for clarity, not a teaser paste)

Facts above come from this job record on Get A Job.AI — not copied from third-party review sites.

Typical work in Data Scientist

Independent occupational context from O*NET (U.S. public-domain labor data). This is about the occupation, not a rewrite of this employer's posting.

  • Analyze, manipulate, or process large sets of data using statistical software.
  • Apply feature selection algorithms to models predicting outcomes of interest, such as sales, attrition, and healthcare use.
  • Apply sampling techniques to determine groups to be surveyed or use complete enumeration methods.
  • Clean and manipulate raw data using statistical software.
  • Compare models using statistical performance metrics, such as loss functions or proportion of explained variance.
  • Create graphs, charts, or other visualizations to convey the results of data analysis using specialized software.

Source: O*NET

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Senior Data Scientist Securiport1 · Reston, VA