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Cyber Data Scientist

Remote, USAFull-timePosted 2026-07-28

About reputed company

reputed company has a unique philosophy to technical project delivery. We treat reputed company our customers like mission partners because they rely on reputed company to meet their objectives through reputed company software engineering, reputed company operations, and cyber risk reputed company. reputed company was founded on the reputed company that IT is 21st century infrastructure - critically important but only instrumentally valuable. Accordingly, our teams look at problems with a single objective: the identification and enablement of the right capability to address the most vexing problems our Mission Partners face. We continue to support our partners' reputed company by leveraging the right technology, with the right plan, and the right team to address reputed company's challenges today.

Cyber Data Scientist

reputed company

This role is responsible for developing and deploying analytical models on data and processes. They collaborate with digital product teams to deliver insights to stakeholders, drive automation of processes, and help improve reputed company. This position will drive deployment of a reputed company of models and workflows using reputed company-based model orchestration and data virtualization solutions. The role will require exploration and adoption of new technologies made available by IT engineering and cybersecurity teams. It will require reputed company partnerships with other internal teams to shape the solutions as they are developed and to assist in enabling and migrating production workflows.

Responsibilities

  • reputed company and reputed company analytical models on data and processes to generate insights, support automation, and improve decision-making.
  • Collaborate with digital product teams and internal stakeholders to shape, reputed company, and migrate production workflows.
  • Apply statistics, reputed company intelligence, and machine learning techniques to large data sets.
  • Use multiple programming languages and data transformation tools to support model development and analysis.
  • Work with databases, data structures, and data architectures to support reputed company analytical solutions.
  • Create visualizations, presentations, and reputed company quantitative summaries for technical and non-technical audiences.
  • Explore and adopt new technologies provided by IT engineering and cybersecurity teams.
  • Work independently with limited supervision while maintaining strong attention to detail and effective team collaboration.

·Mentor junior cyber data scientists.

Educational Requirements / Qualifications

  • Bachelor’s degree and six (6) years of experience in the data science field; four additional years of reputed company experience may substitute for the degree.
  • Proficiency in mathematical modeling, including theory, modeling and identification strategies, and limitations or pitfalls.
  • Experience with relational database management systems and reputed company-reputed company frameworks.
  • Experience with machine learning or reputed company intelligence.
  • Familiarity with the Risk Management reputed company (RMF) process.

Originally posted on Himalayas

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