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Data Scientist - Predictive Maintenance

Tractian — Physical AI for asset-heavy industries

São Paulo, SP Remote Mid Posted Jan 19, 2026
ML

About the role

Data Science at TRACTIAN

The Data Science team at TRACTIAN focuses on extracting valuable insights from vast amounts of industrial data. Using advanced statistical methods, algorithms, and data visualization techniques, this team transforms raw data into actionable intelligence that drives decision-making across engineering, product development, and operational strategies. The team constantly works on optimizing prediction models, identifying trends, and providing data-driven solutions that directly enhance the company’s operational efficiency and the quality of its products.

What you'll do

As a Data Scientist - Predictive Maintenance at TRACTIAN, you will work at the intersection of advanced data science and industrial operations. Your mission is to develop cutting-edge algorithms and predictive models to monitor and predict equipment failures before they occur, optimizing asset reliability and reducing downtime. You’ll face complex challenges involving large-scale time-series data, real-time data processing, and machine learning applications, while collaborating closely with engineers and laboratory teams to ensure our predictive maintenance solutions remain industry-leading.

What the index says about this role

  • First seen by JobLarper — Aug 2, 2026, 6 days ago. Older postings collect hundreds of applicants — a tailored résumé matters more the longer a role has been live.
  • What Data Scientist roles ask for — across 355 indexed openings: Python (76%), SQL (63%), ML (58%), REST/APIs (34%), AI/LLM (30%). This posting names ML.
  • Tractian is hiring actively — 39 open roles indexed.

Derived from the 27,000 roles JobLarper indexes daily from official company boards — not from the job description above.

⚡ JobLarper watched this role appear on Tractian's official board on Jan 19, 2026. Sign up free to get alerted minutes after roles like this go live, and tailor your real résumé to the exact description — nothing invented.

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