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Data Scientist - Predictive Maintenance

Remote:

Full Remote

Contract:

Full time

Experience:

Mid-level (2-5 years)

Work from:

Brazil, Anywhere

Offer summary

Qualifications:

Experience in predictive maintenance., Expertise in machine learning techniques., Proficiency in Python., Knowledge of signal processing and sensor data., Strong problem-solving skills..

Key responsabilities:

Develop predictive maintenance algorithms.
Analyze sensor data to identify patterns.
Collaborate with engineers on data pipelines.
Build scalable models for low-latency predictions.
Refine models based on real-world feedback.

TRACTIAN 𝗕𝗥 Scaleup https://tractian.com/

51 - 200 Employees

See more TRACTIAN 𝗕𝗥 offers

Job description

Why join us

TRACTIAN is transforming the industrial world by empowering frontline maintenance workers to achieve more. We’ve fused cutting-edge hardware with innovative software into one powerful platform, disrupting legacy systems and delivering smarter, faster solutions for our clients.

At TRACTIAN, you'll break boundaries, question convention, and collaborate with top talent to drive real change. As a part of our growth-stage startup, you’ll work alongside the founders, shaping the vision, products, and experiences that will define the future of industrial tech.

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 to ensure our predictive maintenance solutions remain industry-leading.

Responsibilities

Develop predictive maintenance algorithms using machine learning techniques for time-series data.
Analyze sensor data streams to identify patterns that predict equipment failure.
Collaborate with engineers to improve data pipelines and enhance model accuracy.
Build scalable, real-time models for low-latency predictions.
Create diagnostic tools for technicians to make data-driven maintenance decisions.
Continuously refine models based on real-world performance and feedback.

,Requirements

Experience in predictive maintenance and condition monitoring.
Expertise in machine learning, time-series analysis, and anomaly detection.
Proficiency in Python
Knowledge of signal processing and industrial sensor data.
Experience with real-time data pipelines and cloud platforms.
Strong problem-solving skills and ability to handle noisy, high-dimensional data.

Compensation:

Competitive salary and stock options
Optional fully funded English / Spanish courses
30 days of paid annual leave
Education and courses stipend
Earn a trip anywhere in the world every 4 years
Day off during the week of your birthday
Up to R$1.000/mo for meals and remote work allowance
Health plan with national coverage and without coparticipation
Dental Insurance: we help you with dental treatment for a better quality of life.
Gympass and Sports Incentive: R$300/mo extra if you practice activities