Data Science Architect

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What We Do:

Uptake's business is global, disruptive, differentiated and approaches the market in a new way. We help customers identify hidden value and create growth through business and technology innovation, while also enabling cost efficiencies that generate industry-leading business performance. Our team drives this success by connecting customers and partners to the value of the Internet of Things, business-centric architectures, and key technology transitions.

What You'll Do:
  • Lead the architecture for our data science engineering team
  • Develop prediction services that can scale
  • Design and develop and engine to re-train models on the fly
  • Create an engine that allows for A / B testing of models
  • Mentor data scientists to produce production ready scripts
  • Work alongside other team members in an Agile environment to deliver an enterprise-grade product in an iterative manner
  • Contribute to a team building a platform to stream real-time industrial data from airplanes and trains and mining equipment to an advanced visualizations format
Qualifications:
  • Experience with Spring
  • Familiarity with event driven architecture
  • Experience with Service-Oriented Architecture (SOA)
  • Familiarity with the structure and usage of REST API's
  • Excellent communication skills
  • 5+ years using messaging systems
  • 7+ years of development experience creating scalable applications
  • Understanding of statistical packages like R and MATLAB
  • Experience with noSQL solutions; Cassandra, HDFS
  • Experience with analytics packages like MAHOUT
  • Expertise in Machine Learning concepts, algorithms and technologies
  • Experience with high volume concurrent stream processing
  • Worked with Spark and/or Storm
Nice-to-have's:
  • Written R, Python, MATLAB scripts for to create models
  • Used Amazon machine learning
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Location

We are located in River North just right off the Chicago Brown Line stop. We also provide you with a free shuttle service to/from Ogilvie and Union.

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