We are looking for a Sr. Data Science Engineer to work remotely in Brazil with experience in Software Development to join us in the Sourcing Automation group in order to analyse, design and implement machine learning algorithms for systems that provide recommendations to source carriers, and that optimize margins of carrier prices.

Key Responsibilities:

• Model predictive techniques to a variety of logistic problems
• Develop new (and improve existing) machine learning algorithms
• Implement, release, and then maintain the algorithms running in production
• Analyse metrics and look for sourcing improvement opportunities

Qualifications:

• Experience in modeling and implementing predictive algorithms (either from scratch or by having used libraries / frameworks) 
• Software development skills in Python, databases (such as PostgreSQL, Redis) and REST APIs (other programming languages, a plus)
• Software Design / Object-Oriented Programming / SOLID Principles
• Experience implementing automated tests - unit and integration tests(test-driven development, a plus)
• 2+ years of experience as a data scientist/machine learning engineer 
• 3+ years of experience as a software developer
• 5+ years of experience total
• You’re very comfortable communicating in English (both written and spoken) - you will work in an international team with native and non native english speakers
• Native proficiency in Portuguese language
• Curiosity. You're keen on learning new technologies and tools as well as evaluating their pros and cons. You ask questions and are hungry to learn more
• MS or PhD in a technical discipline would be cool, but it is not mandatory.

Because we are an international company, we only accept resumes in English.

At Loadsmart, we believe our biggest asset is our people. We are proud to be an equal opportunity employer, hiring and developing individuals from diverse backgrounds and experiences to add to our collaborative culture. Loadsmart treats all candidates and employees with respect and does not discriminate in our recruiting, hiring, and promoting processes, including on the basis of race, color, religion, sex, age, sexual orientation, gender identity and/or expression, national origin, veteran status, or disability.