Join to apply for the Data Scientist - Predictive Maintenance role at TRACTIAN.Why join usTRACTIAN 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 TRACTIANThe Data Science team focuses on extracting valuable insights from vast amounts of industrial data using advanced statistical methods, algorithms, and data visualization techniques.
They transform raw data into actionable intelligence that drives decision-making across engineering, product development, and operational strategies.
The team works on optimizing prediction models, identifying trends, and providing data-driven solutions to enhance operational efficiency and product quality.What You'll DoAs a Data Scientist - Predictive Maintenance, you will develop algorithms and predictive models to monitor and predict equipment failures, optimizing asset reliability and reducing downtime.
You will work with large-scale time-series data, real-time data processing, and machine learning applications, collaborating with engineers to ensure our predictive maintenance solutions remain industry-leading.ResponsibilitiesDevelop predictive maintenance algorithms using machine learning techniques for time-series data.Analyze sensor data streams to identify failure patterns.Collaborate with engineers to improve data pipelines and model accuracy.Build scalable, real-time models for low-latency predictions.Create diagnostic tools for technicians to make data-driven decisions.Refine models based on real-world performance and feedback.RequirementsExperience 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 optionsOptional fully funded English / Spanish courses30 days of paid annual leaveEducation and courses stipendEmployee GivingEarn a trip anywhere in the world every 4 yearsDay off during the week of your birthdayUp to R$1.000/mo for meals and remote work allowanceHealth plan with national coverage and without coparticipationDental insurance for better quality of lifeGympass and sports incentive: R$300/mo extra if you practice activitiesSeniority levelEntry levelEmployment typeFull-timeJob functionEngineering and Information TechnologyIndustriesSoftware Development
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