Company Description

Based in sunny Santa Monica, Retention Science is the global leader in Retention Marketing. We analyze sales, behavioral, demographic and custom data to profile and predict customer behavior. Our automated platform delivers targeted multi-channel marketing campaigns that increase customer spending and advocacy. Retention Science powers marketing campaigns for Target, Neiman Marcus, Vitamin Shoppe, and has been featured in Forbes, Wall Street Journal, and CNN.

Job Description

We are looking for a Data Scientist with a solid machine-learning background who can work with our engineering team to architect our big data infrastructure. Data science lies at the core of our company’s mission to help eCommerce companies implement effectual retention strategies.

The Data Scientist will have significant input into the team’s architectural approach and execution. The ideal candidate will be 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
• Oversee the entire 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

• Prefer Ph.D. (will consider B.S. or M.S. in Computer Science or related field)
• Advanced knowledge of predictive analytics, statistical modeling, and machine learning
• Proficiency in skills including but not limited to regression analysis, predictive models, Bayesian classification, collaborative filtering, decision trees, and clustering problems applied to large data sets
• Expert in at least one of: Ruby, Python, Java, C++
• Good understanding of web technologies and Unix/Linux
• Full-time commitment

Desired Skills

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

Additional Information

We value teamwork and thrive on each of us reaching our full potential. With regular team lunches, team-building activities, and a kitchen stocked full of snacks, join us if you are interested in working in a dynamic and exciting start-up environment and being part of a world-class team.