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Data Science Specialist

2 months ago

Atlanta, United States gbit Full time

Mandatory: Python Data Science (Python Basics, Pandas, SciKit learn, Tensor Flow), SQL Developer, MSSQL Server.


Job Summary

Use data science knowledge and experience to identify, explore, and validate use cases, collaborate with stakeholders to build rapid prototypes and run pilots that test key technical and business assumptions while developing, implementing, and scaling up solutions that bring business value and/or reduce risk. Collaborate with data scientists, data engineers, software engineers, and UX developers who are part of the cyber data team. Perform sophisticated analytics (statistical and predictive analytics, root cause analysis, machine learning modeling, etc.) to provide actionable insights that improve business outcomes, minimize risk and provide consultation to business leaders and other stakeholders on how to leverage analytics insights and build strategies around analytics.


Qualifications

The requirements listed below are representative of the knowledge, skill and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

  • Bachelor’s degree in a quantitative field such as Finance, Mathematics, Analytics, Data Science, Computer Science, or Engineering, or equivalent education and related training.
  • In-depth knowledge in practices, theories and methodologies associated with the professional discipline such as statistics, programming (such as Python, etc.), machine learning, model development, business information visualization, etc.
  • High level of competency in statistical and analytical principles, tools, and techniques including a broad understanding of classical statistics, probability theory, econometrics, time-series, and primary statistical tests.
  • In-depth knowledge of SQL, relational databases, ETL development and concepts, data integration concepts and big data concepts.
  • Experience in managing multiple projects with tight deadlines in a collaborative online environment.
  • Strong analytical and critical thinking capabilities and ability to multi-task, work independently, and deliver under pressure.