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Senior Data Scientist

1 week ago

Vancouver, British Columbia, Canada Fortinet, Inc. Full time

**Job Description**

We are seeking a highly skilled Senior Data Scientist to optimize our security intelligence platforms based on machine learning systems.

The ideal candidate will have experience in evaluating existing machine learning (ML) processes, performing statistical analysis to resolve data set problems, and enhancing the accuracy of our AI software's predictive automation capabilities.

To succeed in this role, you should demonstrate solid data science knowledge and experience in a related ML position. A first-class data scientist will be someone whose expertise translates into the enhanced performance of predictive automation software.

Responsibilities:

  • Consulting with managers to determine and refine machine learning objectives.
  • Designing machine learning systems and self-running artificial intelligence (AI) software to automate predictive models.
  • Transforming data science prototypes and applying appropriate ML algorithms and tools.
  • Ensuring that algorithms generate accurate user recommendations.
  • Turning unstructured data into useful information by auto-tagging images and text-to-speech conversions.
  • Solving complex problems with multi-layered data sets, as well as optimizing existing machine learning libraries and frameworks.
  • Developing ML algorithms to analyze huge volumes of historical data to make predictions.
  • Research in NLP, Code Embeddings, and writing patents/whitepapers.
  • Building models using Graph Machine Learning for predictive analysis tasks.
  • Building MLOps pipelines in an end-to-end manner for complex tasks.
  • Running tests, performing statistical analysis, and interpreting test results.
  • Documenting machine learning processes.
  • Keeping abreast of developments in machine learning.

Requirements:

  • Bachelor's degree in computer science, data science, mathematics, or a related field.
  • Master's degree in Natural Language Processing, Machine Learning, or similar will be advantageous.
  • Past experience in developing code embeddings, of any programming language for a real-world ML application.
  • Understanding of advanced threat detection using static and dynamic ML.
  • At least two years' experience as a machine learning developer.
  • Advanced proficiency with Python code writing.
  • Experience in practical MLOps, and knowledge of Data Version Control, Git/SVN.
  • Extensive knowledge of ML frameworks, libraries, data structures, data modeling, and software architecture.
  • In-depth knowledge of mathematics, statistics, and algorithms.
  • Superb analytical and problem-solving abilities.
  • Great communication and collaboration skills.
  • Excellent time management and organizational abilities.