Data Scientist - Predictive Maintenance

View all jobs

Data Scientist - Predictive Maintenance

São Paulo, SP

Data Science

Remote

Full-time

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.

Responsibilities

• Develop predictive maintenance algorithms using machine learning techniques for time-series data.
• Analyze sensor data streams to identify patterns that predict equipment failure.
• Research and stay up to date with academic literature and state-of-the-art condition monitoring techniques, translating relevant advances into practical solutions.
• Collaborate with engineers to improve data pipelines and enhance model accuracy.
• Build scalable, real-time models for low-latency predictions.
• Create diagnostic tools that enable data-driven maintenance decisions.
• Work with the laboratory team to design experiments and develop failure datasets using real machinery to validate hypotheses, develop new models, and optimize existing ones.
• Continuously refine models based on real-world performance, experimental results, and feedback.

Requirements

• Expertise in machine learning, time-series analysis, and anomaly detection.
• Proficiency in Python and common data science and ML libraries (e.g., NumPy, pandas, scikit-learn, PyTorch).
• Solid understanding of signal processing concepts and hands-on experience with industrial sensor data (e.g., vibration, current, temperature, pressure).
• Ability to read, interpret, and apply insights from academic literature and state-of-the-art research in condition monitoring and fault diagnosis.
• Experience designing experiments to validate hypotheses and benchmark models.
• Strong problem-solving skills and ability to handle noisy, high-dimensional data.
• Advanced English.

Bonus Points

• Familiarity with both academic research and real-world applications in condition monitoring, fault diagnosis, and prognostics (e.g., vibration-based methods, model-based vs. data-driven approaches).
• Experience translating academic methods into robust, production-ready algorithms.
• Prior experience working in industrial or manufacturing environments.

Compensation & Benefits

• Competitive salary and stock options
• 30 days of paid annual leave
• Education and courses stipend
• Earn a trip anywhere in the world every 4 years
• R$1.035/month for meals allowance
• Health plan with national coverage and without coparticipation
• Dental Insurance: we help you with dental treatment for a better quality of life.
• Wellhub and Sports Incentive: R$300/mo extra if you practice activities

Ready to apply?

Powered by

First name *

Last name *

Email *

LinkedIn URL *

Phone number

Location

Resume

Click to upload or drag and drop here

Cover letter

Click to upload or drag and drop here

City of Residence *

State/Province of Residence *

Country of Residence *

How did you hear about this opportunity? *

Tractian Employee Referral

LinkedIn

RepVue

Job Board

Event or Conference

Newsletter

Other

If you were referred by a Tractian employee, please provide their first and last name.

If you selected “Other,” please tell us where you found the role.

English Proficiency *

Basic (A1 / A2)

Intermediate (B1 / B2)

Advanced / Professional (C1 / C2)

Native or Bilingual

Highest Level of Education Completed *

High School / Secondary School

Associate Degree / Community College

Bachelor’s Degree

Master’s Degree

Doctorate (PhD, MD, etc.)

Other / Self-taught

Are you legally authorized to work in the country where this role is located? *

Yes

No

Will you now or in the future require visa sponsorship? *

Yes

No

What is Your Gender Identity? (Optional)

This question is optional. Your response will not be considered as part of the hiring decision.

Male

Female

Other

What is your sexual orientation? (Optional)

This question is optional. Your response will not be considered as part of the hiring decision.

Heterosexual / Straight

Gay or Lesbian

Bisexual

Another orientation

Prefer not to say

What is Your Race/Ethnic Background? (Optional)

This question is optional. Your response will not be considered as part of the hiring decision.

Asian (not Hispanic or Latino)

Hispanic/Latino

White (not Hispanic or Latino)

Black or African

Indigenous Peoples

Other

Prefer not to inform

Do you consider yourself to have a disability? (Optional)

This question is optional. Your response will not be considered as part of the hiring decision.

Yes

No

Prefer not to say

Veteran Status (Optional)

This question is optional. Your response will not be considered as part of the hiring decision.

I am a veteran

I am not a veteran

Prefer not to say

GitHub Profile URL

Degree/Field of Study

Select an option

Linkedin URL

Apply

Req ID: R121