| Microsoft Careers

Microsoft

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Posted
69 days ago

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How this pay compares to similar roles

Similar $180k
$106k most similar roles pay here $248k

This listing doesn't post a salary. Most similar roles pay $152,150–$207,350.

Based on 239 similar postings.

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About Microsoft

Microsoft Corporation is a global technology leader producing software, hardware, and cloud services including Windows, Office 365, Azure cloud platform, Xbox gaming, and Surface devices. Industry: Software & Cloud Computing

Microsoft currently has 1580 open roles on FindRole.

Listed pay typically runs $119,800–$234,700 across 1408 roles with salary data.

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At a glance

TL;DR · | Microsoft Careers

Senior Data Scientist at Tech Innovators Inc., you will join our cutting-edge R&D team focused on predictive maintenance solutions. Your primary responsibility involves analyzing complex data sets from various devices to identify patterns and predict potential failures, ensuring minimal downtime for clients across diverse industries. You will leverage machine learning algorithms, Python, and SQL extensively, while also working with big data platforms like Hadoop and Spark. This role demands a deep understanding of statistical modeling and the ability to communicate insights effectively to non-technical stakeholders. The team tackles large-scale datasets from industrial machinery, requiring robust analytical skills and an innovative approach to problem-solving in a fast-paced environment.

What you'll do

  • Analyzes device analytics to identify trends in equipment performance.
  • Proactively detects and addresses potential equipment issues before they arise.
  • Utilizes technical knowledge and industry experience to enhance system reliability.
  • Recommends improvements based on insights from equipment data analysis.
  • Monitors system behavior continuously for early problem detection.

What we're looking for

  • Requires at least 5 years of hands-on experience in technical troubleshooting and maintenance.
  • Proficient in analyzing device data to identify performance trends and predict failures.
  • Must have strong problem-solving skills for complex technical issues.
  • Experience with preventive maintenance strategies and equipment optimization needed.
  • Knowledge of industry-standard diagnostic tools and software is essential.

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