Position: Data Analyst

Job type: Full Time, Permanent

Experience: 2 - 5 years

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Job content

Degree in Statistics/Quantitative Analyses, Computer Science, Mathematics, Operations Research, or other related technical fields with equivalent practical experience Candidate should have at least 2 years of experience working on data science projects delivered to external clients.

• Proficiency with programming languages: Python, PySpark, and SQL.

• Proficiency with common data science tools: Scikit-learn and at least one among TensorFlow, Keras, PyTorch, or equivalent

• Experience with forecasting techniques using Time series methods and causal forecasting methods

• Experience with applying supervised and unsupervised learning techniques on unstructured and semi-structured data

• Experience with predictive modeling, deploying, and monitoring ML solutions in an iterative or Agile/DevOps environment using lifecycle management methods and tools

• Excellent English verbal and written communication skills Nice to have:

• Experience with Natural Language Processing (NLP) techniques.

• Familiarity with Microsoft Azure services and tools

• Experience with the agile methodology for data scienceprojects.

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Deadline: 20-06-2024

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