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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