Duties:

•    Work across functional teams to identify data capture and analysis requirements. 
•    Implement a big data architecture onto NCTE. 
•    Design and build analysis capabilities into the architecture 
•    Collaborate with software engineers on a data-driven predictive maintenance tool
•    Keep up-to-date on current technologies and applications of big data architectures
•    Identify opportunities use cases for supervised and unsupervised learning to expand the use of the big data architecture within NCTE
•    As needed deliver KPIs and automated reporting to teams supporting the NCTE

Required Skills:

•    Bachelor's degree in technical discipline (i.e. data science, computer science, engineering, mathematics, etc.) and 8-10 years of relevant experience
•    At least 3 years of experience as a data scientist
•    Educational requirements may be adjusted for applicable work experience. Work experience may be adjusted for highly specialized knowledge or uniquely applicable experience.
•    Experience in RESTful web services and/or Object Oriented Programming (OOP) paradigms
•    Experience with Python, R, or other data science related tools
•    Experience querying data from SQL databases
•    Experience with machine learning, artificial intelligence, neural networks (e.g. Tensorflow)
•    Experience with the Linux operating system
•    Experience with configuration management tools (e.g. Git, Nexus, Maven)
•    Experience with the agile software lifecycle
•    Experience with anomaly detection, time series forecasting, and predictive maintenance
•    Has a proven ability to learn quickly and works well both independently as well as in a team setting

Desired Skills: 
  
•    Experience rapidly scaling data storage and processing
•    Experience with causal analysis methods for root cause analysis
•    Experience in Modern Java Frameworks and Libraries (e.g. Spring, Guava)
•    Experience with data visualization 
•    Experience with web frontend frameworks (e.g. React) and accessing REST APIs
•    Experience in distributed databases, NoSQL, or Graph databases (e.g.Neo4j or MongoDB) a high plus
•    Experience in streaming and/or batch analytics (e.g. Kafka, Spark, Flink, Storm, MapReduce, Hadoop)
•    Experience implementing a distributed storage system such as HDFS, HBASE etc.
•    Experience creating a distributed analytics engine such as DASK or SPARK directly on virtual machines

Must be able to obtain and maintain a Secret clearance.  US Citizenship is required