Senior Software Engineer - Data Science Engineering

Senior Software Engineer - Data Science Engineering  
Malmö, Sweden

RichRelevance is the global leader in Experience Personalization, driving digital growth and brand loyalty for more than 200 of the world’s largest B2C and B2B brands and retailers. The company leverages advanced AI technologies to bridge the experience gap between marketing and commerce to help digital marketing leaders stage memorable experiences that speak to individuals – at scale, in real time, and across the customer lifecycle. Headquartered in San Francisco, RichRelevance serves clients in 42 countries from 9 offices around the globe. For more information, please visit http://www.richrelevance.com.

Primary responsibilities:   
• Building high performance systems for personalization, optimization, and targeting
• Coordinating with a research team to move prototypes into production
• Contributing to algorithm design, research and scalability
• Building systems with Hadoop and Spark (Mllib, GraphX), Mesos, Marathon
• Designing and implementing data pipelines to support data needs for machine learning (both batch and online), reporting, monitoring and alerting. (Crunch, Cassandra, HBase, Hive, Presto, no-SQL databases) 
• Software engineering in Java and Scala
• Working with rapid development methodologies such as Continuous Delivery and SCRUM
• Automating tests at various levels, including end to end integration testing with synthetic known data, unit testing with JUnit, performance testing and tuning
• Coordination with internal and external teams
• Mentoring junior engineers
 
Minimum requirements:
• Bachelor of Science or Master of Science in Computer Science, Electrical Engineering or the equivalent
• At least 5+ years of software development experience  
• Expert in Java, Scala or any other object-oriented language
• Experience with HDFS and Spark
• Proficient in data modeling with advanced knowledge of data structures
• Additional language skills for scripting and rapid application development
• Excellent communication and collaboration skills
 
Desired skills and experience:
• Production experience with big data (high volume, high velocity) systems
• Knowledge of numerical programming, data science, machine learning and/or statistics a strong plus
• Familiarity with UNIX (systems skills a plus)
• Working in a distributed environment and has dealt with challenges around scaling and performance