Data Scientist, Lead - 37736 in Norfolk, VA at Alion Science and Technology

Date Posted: 9/30/2021

Job Snapshot

  • Employee Type:
    Full-Time
  • Location:
    Norfolk, VA
  • Job Type:
  • Experience:
    Not Specified
  • Date Posted:
    9/30/2021
  • Job ID:
    37736
  • Telework
    Telework - Not Eligible

Job Description

Alion has been providing modeling and simulation software to the Navy Service Program for over 20 years, and the exciting work we do for this customer keeps growing with new and continued demand for our state-of-the-art modeling and simulation software that allows Navy sailors to simulate actual warfare scenarios.  The demands for Artificial Intelligence, Machine Learning, and sophisticated Cloud technologies requires that we rise to the challenge to meet the need for years to come.  Come be part of this challenging, exciting software development opportunity!  Read on for more details:

The Data Scientist is responsible for the data analytics and processing, user interface, utilities, and data modeling to meet Huntington Ingalls Industries research and development objectives. In this role, you will work with on a suite of warfighter simulation systems called the Navy Training Baseline (NTB) to enhance and develop new capabilities for futuristic products. The Data Scientist on the Software Development team provides modeling and simulation application development, live, virtual and constructive systems integration support, in-service engineering support, and data analytics to US Fleet Forces (USFF) and the Number Fleets. The Software Development team is directly responsible, in this context, for developing and maintaining technical solutions and standards to provide the greatest level of training capability to the warfighter, at the lowest possible cost, at the fastest pace achievable.
Candidate should have a strong working knowledge and experience developing cloud software-based capabilities and data science related expertise including machine learning or artificial intelligence. Candidate should have an inquisitive nature, responsiveness, and excellent testing skills. Must also possess strong troubleshooting skills and the ability to work under pressure with multiple deadlines. Will work in a fast paced, business environment with our talented team.

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.



Security Clearance: None
Telework - Not Eligible

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