Python Data Scientist
3 weeks ago
•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
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