JOB DESCRIPTION We are looking for a Data Scientist with solid machine learning background to work with our engineering team to improve and optimize our platform. You will have significant input into the team’s architectural approach and execution. We are looking for a hands-on coder who enjoys implementing algorithms as much as designing and fine-tuning them.

RESPONSIBILITIES

• Design scalable predictive models with large number of features
• Be responsible for the machine learning implementation process: model design, feature planning, system infrastructure, production setup and monitoring, and release management Use machine learning techniques optimized for distributed computing environments

QUALIFICATIONS

• Computer Science and Math degree with a track record of build and deploying apps as a part of curriculum or side projects
• Advanced knowledge of predictive analytics / statistical modeling / machine learning such as regression analysis, predictive models, Bayesian classification, collaborative filtering, decision trees, and clustering problems applied to large data sets
• Expert in at least one of: Python, Java, Scala, C++
• Good understanding of web technologies and
• Full-time commitment

DESIRED SKILLS

• Familiarity with distributed systems and methodologies: Spark, Hadoop, MapReduce, Cascading, Hive, Pig
• Experience with NoSQL / graph databases: Neo4J, MongoDB, Riak, Cassandra
• Experience with cloud technologies: AWS, Rackspace, Azure

ADDITIONAL INFORMATION We are a close-knit family who drink a little too much coffee, work late nights and brainstorm creative new ways to improve our solutions. We have a distributed team and can work from anywhere. Join us if you are interested in working in a dynamic and exciting start-up environment, being part of a world-class team, receiving individual and company performance bonuses, and indulging in free snacks, drinks, and food!

$600,000 — $650,000/year