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Sr. Data Scientist with Cyber Security - Charlotte and Dallas at Dallas, Texas, USA
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From:

John,

Vysystems

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Job Description

Cybersecurity is seeking a Sr Data Scientist to join the Cyber Analytics and Data Science team.

This position will use machine learning, data engineering, automation, and Data Science principles to solve enterprise problems and advance our Cyber Security mission.

This role is a key contributor to our practice and will be directly responsible for design, development, deployment, and automation.

The successful candidate will work closely with key stakeholders to rapidly advance the use of predictive and prescriptive analytics for cybersecurity as well as help the Cyber team with automation efforts.

We are seeking candidates with passion to lead the implementation of cutting-edge technology and methodologies while establishing strong partnerships with data owners and stakeholders across Cybersecurity.

The Sr Data Scientist will have demonstrated experience as a problem-solver, working alongside IT and business partners, and act as a trusted consultant.

Responsibilities

Structure business problems and drive viable, data-driven hypotheses in collaboration with business partners

Ability to skillfully enumerate a business problem, quantify its impact, size relevant data, and document applicable sources

Devise, develop and disseminate actionable intelligence from disparate data sources using advanced data analytics tools and techniques

Ability to identify needs and opportunities for advancements in innovations, processes and automation

Able to work proactively and take initiative without being specifically directed

Ability to extract & aggregate data from disparate data sources

Ability to perform in depth data analysis including but not limited to Machine Learning Classification Optimization Time Series analysis Pattern

  Recognition Establish and develop end-to-end automated processes (i.e.: data analyses, model development & implementation, manual processes, etc)

  Ability to communicate complex topics in an easy-to-understand manner when prese

Keywords: information technology
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Thu Dec 28 20:50:00 UTC 2023

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