DDN

Data Science Specialist

DDN

full-time

Posted on:

Origin:  • 🇮🇳 India

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Job Level

Mid-LevelSenior

Tech Stack

CloudDistributed SystemsHadoopJavaJenkinsPythonScikit-LearnSparkSQLTensorflow

About the role

  • Developing strategies to identify and mitigate inefficiencies in support operations for ExaScaler and SFA systems.
  • Automating the collection and analysis of logs to reduce support resolution times.
  • Designing and implementing real-time health scoring systems and dashboards for quick assessment of system status.
  • Enhancing the search functionality of the knowledge base using natural language processing (NLP) algorithms.
  • Developing a recommendation engine to suggest relevant articles and solutions based on context.
  • Implementing machine learning algorithms to detect duplicate issues in Jira and providing automated merge suggestions.
  • Creating and maintaining a centralized database of available patches and developing automated notifications for relevant patches.
  • Collaborating with support engineers, sales engineers, and other stakeholders to understand requirements and deliver effective solutions.
  • Documenting solutions, including implementation details and user guides, and providing training to support teams.

Requirements

  • BS/MS in Data Science, Computer Science, Computer Engineering, or equivalent degree/experience.
  • 4+ years of experience in data analytics, machine learning, and automation.
  • Proficiency in programming languages such as Python, R, or Java.
  • Experience with data processing frameworks like Hadoop, Spark, or similar.
  • Strong knowledge of machine learning algorithms and frameworks (e.g., TensorFlow, Scikit-learn).
  • Familiarity with natural language processing (NLP) techniques and tools.
  • Experience with database systems and SQL.
  • Strong problem-solving skills and ability to work with large datasets.
  • Excellent communication skills and ability to collaborate with cross-functional teams.
  • Self-starter with the ability to work independently and manage multiple tasks.
  • Knowledge of distributed systems is a plus.
  • Familiarity with version control systems like Git.
  • Experience with issue tracking and CI/CD tools such as JIRA, Jenkins, Gerrit, and GitHub is useful.