Job description
We're looking for driven and enthusiastic individuals. We want you to be comfortable being open to feedback and making rapid improvements; to enable and empower your peers; and finally, we want you to learn. Jar isn't paying you just to work, but also paying you to learn - you're bringing and taking something from the table.
Responsibilities
• Analyze large amounts of information to discover trends and patterns
• Create data sets and data models to build intelligence upon.
• Developing prediction systems and machine learning algorithms
• Collaborate with engineering and product development teams
• Propose solutions and strategies to business challenges
Requirements
• Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc.
• Good applied statistics skills, such as distributions, statistical testing, regression, etc.
• Experience with NoSQL database
• Good scripting and programming skills
• Analytical mind and business acumen
• Problem-solving aptitude
