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    Python Data Scientist - Norfolk, United States - Latitude, Inc.

    Latitude, Inc.
    Latitude, Inc. Norfolk, United States

    2 weeks ago

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    Description

    Job Description

    Job Description

    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

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