CareersData ScienceData Scientist - Predictive Maintenance

Data Scientist - Predictive Maintenance

Remote

Brazil

#LI-IM1

#LI-Remote

Why join us

TRACTIAN is reimagining industrial systems so that every frontline maintenance worker can realize their full potential. We're building software and hardware in one place—disrupting long-standing institutions with products and experiences that better serve the ambitions of our clients.


Working at TRACTIAN allows you to push your limits, challenge the status quo and collaborate with some of the brightest minds in the industry. Our team members have the autonomy needed to accomplish challenging goals. We are a growth-stage startup and you will work directly with the founders, helping to define the vision, product and user experience.

Data Science at TRACTIAN

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.


What you'll do

In the Senior Data Scientist role, your primary responsibility will be to delve deep into complex datasets, using your advanced analytical skills to uncover insights, develop predictive models, and provide data-driven solutions. Your work will directly contribute to enhancing our product offerings and improving business strategies through rigorous data analysis and model development.

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

R$800/mo for you to use with food in supermarkets, restaurants and delivery

GymPass so you don't sit/work all day

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

R$200 a month for remote work allowance

Mental health support: we cover 40% of the cost of your therapy

Health plan with national coverage and without coparticipation

Dental Insurance: we help you with dental treatment for a better quality of life.

Sports Incentive: R$300/mo extra if you practice activities

Up to R$5.000 bonus for referring new Blue Caps

I want to apply
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