Data Scientist

CAST AI
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Job Description

We are looking for a highly capable Data Scientist to optimize our machine learning systems. You will be 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.

Data Scientist 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.
  • 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.
  • Running tests, performing statistical analysis, and interpreting test results.
  • Documenting machine learning processes.
  • Keeping abreast of developments in machine learning.

Data Scientist Requirements:

  • Bachelor's degree in computer science, data science, mathematics, or a related field.
  • Master’s degree in data analytics, or similar will be advantageous.
  • At least two years' experience as a machine learning engineer.
  • Advanced proficiency with Python and Golang code writing.
  • 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.

Location:

  • Remote, EU

Company Info.

CAST AI

Driven by a vision of decentralizing the cloud industry, CAST AI frees innovators from the limits of cloud providers with an AI-powered cloud optimization engine that delivers a cost-efficient, high-performing, and resilient infrastructure for every Kubernetes workload.

  • Industry
    Information Technology,Artificial intelligence
  • No. of Employees
    71
  • Location
    Miami, FL, USA
  • Website
  • Jobs Posted

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