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.


• 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


• 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

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