Join the team

We are looking for a highly motivated and skilled professionals to join our team. Please, see our current vacancies. If you are passionate about promoting sustainable living and have the skills and experience we are looking for, we would love to hear from you. Please submit your resume and a cover letter outlining your qualifications to our email [email protected]

Software Developer

Skills and experience needed:

• A bachelor’s degree in computer science or software engineering is required;
• The ability to work within the programming languages: JavaScript, Python, Java, with proficiency in at least one;
• Experience creating and interfacing with developer workflow automation;
• Constant desires to improve, learn more, and take things higher.

Essential job functions:

• Design, write, read, test, and correct code for digital platform;
• Analyze information to recommend and plan the installation of new systems or modifications of an existing system;
• Evaluate simple interrelationships between programs such as whether a contemplated change in one part of a program would cause unwanted results in a related part;
• Support the full cycle of design, development, and testing (Agile, Waterfall — be flexible);
• Write documentation for new and updated software.

Data Scientist

Skills and experience needed:

• A bachelor’s degree in statistics, mathematics, computer science, computer systems engineering or a related discipline or completion of a college program in
• Proficiency in using one or more programming or scripting languages to work with data such as: Python, Perl, or C#;
• Some experience and or project course work performing data analysis and applying statistics working with tools such as: Excel, R, MATLAB, AMPL, or SAS.

Essential job functions:

• Implement cutting-edge techniques and tools in machine learning, deep learning and artificial intelligence to make data analysis more efficient;
• Perform large-scale experimentation to identify hidden relationships between variables in large datasets;
• Create advanced machine learning algorithms such as regression, simulation, scenario analysis, modeling, clustering, decision trees and , neural networks;
• Prepare and extract data using a programming language.