Data Scientist - Optimization
Data
Machine Learning
São Paulo, SP
#LI-IM1
Remote
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.
Design and implement advanced optimization algorithms for deployment in real-time systems within TracOS.
Develop and apply methods such as linear programming, simplex, branch and bound, gradient descent, and other optimization techniques.
Work closely with engineering and data teams to integrate optimization models into production, ensuring smooth operation and high reliability.
Monitor algorithm performance continuously and adjust models to enhance effectiveness and accuracy.
Collaborate with product teams to identify client needs and customize optimization solutions accordingly.
Document optimization processes and models, providing guidelines and insights for future improvements and scaling.
Proven experience implementing optimization algorithms in production settings, with a preference for industrial or asset management applications.
Strong expertise in linear programming, including the application of simplex and other optimization methods.
Solid knowledge of gradient descent, branch and bound, and other algorithmic optimization techniques.
Proficiency in Python, with hands-on experience in libraries such as SciPy, NumPy, or similar tools for optimization.
Familiarity with maintenance planning processes and predictive maintenance principles is highly desirable.
Strong analytical skills, attention to detail, and an ability to work both independently and collaboratively in a fast-paced environment.
• 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
If you want to build a ship, don't organize people to collect wood, assign them tasks, and give orders. Instead, teach them to long for the vast and endless sea.
Antoine Saint-Exupery