Required Skills

Data Scientist

Work Authorization

  • US Citizen

  • Green Card

  • EAD (OPT/CPT/GC/H4)

  • H1B Work Permit

Preferred Employment

  • Corp-Corp

  • W2-Permanent

  • W2-Contract

  • Contract to Hire

Employment Type

  • Consulting/Contract

education qualification

  • UG :- - Not Required

  • PG :- - Not Required

Other Information

  • No of position :- ( 1 )

  • Post :- 18th Dec 2023

JOB DETAIL

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 toMachine LearningClassificationOptimizationTime Series analysisPattern RecognitionEstablish 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 

Company Information