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Atlas Copco

IoT Data Scientist (m/f/d)

3-5 Years
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Job Description

Your role As an IoT Data Scientist, you drive data-driven insights for our GENIUS Instant Insights™ platform. You develop predictive models to improve vacuum pump reliability, performance, and energy efficiency, working closely with global experts across engineering and product teams. Responsibilities
  • Build and deploy ML models (e.g. failure prediction, anomaly detection).
  • Analyze real-world IoT data and extract reliable signals.
  • Own end-to-end data science workflows from ideation to production.
  • Collaborate with domain experts and Data Engineering teams.
  • Improve models through continuous feedback and monitoring.
  • Apply modern AI approaches (e.g. GenAI) to enhance insights.
  • Communicate results clearly to stakeholders.
To succeed, you will need
  • Master's degree in Data Science, Computer Science, or similar.
  • 3-5 years of experience with applied data science (ideally IoT/industrial).
  • Strong skills in Python, SQL, and ML methods (e.g. time series, anomaly detection).
  • Experience with Azure and Databricks is a plus.
  • Interest in GenAI and new AI technologies.
  • Strong communication skills and ability to work in international teams.
In return, we offer
  • Culture of trust and accountability
  • Lifelong learning and career growth
  • Innovation powered by people
  • Comprehensive compensation and benefits
  • Health and well-being

Uniting curious minds
Behind every innovative solution, there are people working together to transform the future. With careers sparked by initiative and lifelong learning, we unite curious minds, and you could be one of them.

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About Company

Atlas Copco (Copco from Compagnie Pneumatique Commerciale) is a Swedish multinational industrial company that was founded in 1873.It manufactures industrial tools and equipment.The Atlas Copco Group is a global industrial group of companies headquartered in Nacka, Sweden. In 2019, global revenues totaled SEK 104 billion, and by the end of that year the company employed about 38,774 people. The firm's shares are listed on the Nasdaq Stockholm exchange and both 'A' and 'B' classes form part of the benchmark OMXS30 index.

Job ID: 147780555