Challenges that make this job interesting:

• The problem we’re solving is hard - enterprise data is messy and there is a lot of it. It’s our job to derive value from this data in a flexible and scalable way
• Every customer is different - while there are similar use cases that we see repeatedly, every account presents new challenges and we need to be able to adapt quickly to each new situation

This job might be a good fit for you if:

• You have strong data science and/or software engineering experience
• You are excited about working for a startup and being a key contributor
• You enjoy working with customers and have excellent interpersonal skills
• You have machine learning knowledge/experience

Qualifications:

• BS, MS or PhD degree in Computer Science, Physics, Mathematics or similarly quantitative/technical field
• Polyglot programmer, with experience using technologies such as Python, Java, R, SQL
• Willingness and ability to travel to client locations on occasion
• Candidates for this position must be a U.S. Citizen. Please note if you have a security clearance (or if you have held one in the past).

Other Preferred Qualifications / Nice to Have:

• Deep understanding of data integration and transformation patterns such as messaging, ETL
• Hands-on experience with large distributed systems from an architecture and development perspective
• Hands-on experience with traditional data warehouse technologies and BI or visualization tools
• Machine learning knowledge/experience
• Front end software development expertise.  JS in particular
• Experience building enterprise applications, including integration with COTS systems
• Experience with any of the following technologies: Hadoop, Spark, ElasticSearch, Java, AWS
• DevOps and/or cloud solutions deployment experience a plus
• Advanced quantitative technical degree (MS or PhD) preferred