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Data Science Intern

Job Description

We are looking for an entrepreneurial, collaborative person with hands-on experience in machine learning and predictive analytics.

If you are working towards a degree in information technology or a closely related field at EPFL or ETH , if you are a self-motivated and collaborative person with hands-on experience in machine learning or predictive analytics, this is the right place for you!

Logmind can offer you a variety of interesting technical challenges in the field of data science and machine learning. You will be working on solving problems that will help IT teams from modern organizations with automatic detection and diagnosis of complex problems from their IT environments.

Your responsibilities will be:

  • Optimize, prototype, design and develop machine learning algorithms for unstructured/time-series log data.
  • Implement and test proposed machine learning models for large-scale environment.
  • Closely collaborate with the software engineering team to integrate proposed models to the existing platform.

Required skills:

  • Experience in modern analytics tools and programming languages such as Python, Spark, Scala, Elasticsearch, Hadoop, Kafka, etc.
  • Knowledge of data mining algorithms and statistical modeling techniques such as clustering, classification, regression, decision trees, neural nets, support vector machines, anomaly detection, sequential pattern discovery, and text mining.
  • Relevant industry experience or interest would be a plus.

We look forward to receiving your resume at jobs@logmind.com!