Junior Data Science Engineer

Description

The Defense Group at Leidos has an opening for a Junior Data Science Engineer for the Global Solutions Management – Operations II (GSM-O II) contract. This contract includes the Operations, Sustainment, Maintenance, Repair and Defense of the Defense Information System Network (DISN) within the DOD Information Network (DODIN) in support of the Defense Information Systems Agency (DISA).

This role is primarily remote, but candidates must be within commuting distance to Scott AFB, IL or Ft. Meade, MD or Ogden, UT for on-site support.

Primary Responsibilities

• Configure and prototype ML solutions in Jupyter notebooks.
• Leverage AI/ML techniques, including supervised and unsupervised learning, to increase efficiencies by creating and optimizing data pipelines that support predictive analytics, classification, anomaly detection, and decision tree use cases.
• Solve stakeholder problems and improve business efficiency through direct quantitative and qualitative data analysis, followed by the design, implementation, and documentation of the solutions as repeatable processes.
• Obtain and integrate data sets from disparate technical environments to support network, performance, application and configuration use cases, performing extraction, transform, and load (ETL) tasks and developing ETL pipelines.
• Work collaboratively with a cross-functional, geographically dispersed team and partner closely with Network Operations stakeholders to develop data analytics automation techniques to improve results and efficiency.
• Develop, test, and maintain data models (both physical and logical), including identifying the data’s relevant metadata to ensure consistency, quality, accuracy, integrity, information assurance, and security.
• Develop, train and deploy AI/ML models using resources and tools in an AWS containerized environment.

Basic Qualifications

• Experience following a software development lifecycle, including developing and maintaining production quality code.
• Ability to obtain Security+ certification or equivalent DoD 8570 IAT II certification within 14 days of start date.
• Practical experience with Machine Learning, Natural Language Processing, and/or Artificial Intelligence and the ability to apply these techniques concrete problems.
• Practical hands-on data experience, including the ability to hypothesize, test and explain statistical analysis techniques that can be applied to the data to provide business value.
• Educational experience or courses/projects in Artificial Intelligence, Machine Learning and Statistics.
• Ability to obtain interim Secret DoD Security clearance prior to start date.
• B.S. degree in Aerospace Engineering, Computer Science, Mathematics, Statistics, Physics, Electrical Engineering, Computer Engineering, Data Science, or Data Analytics and 1+ year of related experience obtained through any combination of coursework and internships.
• Strong communication skills that will enable proactive and effective collaboration with a virtual team of data engineers and DevOps engineers, including the ability to articulate data requirements and translate requirements from stakeholders for AI/ML project needs.
• Ability to obtain interim Secret DoD Security clearance prior to start date.
• Experience in R, Java, Python, Scala, SAS, SPSS or similar.

Preferred Qualifications

• Experience with Big Data tools including Elasticsearch, Logstash and Kibana, Apache Kafka, NiFi, Apache Spark, Neo4J, Predictive Insights, and Splunk.
• Experience with text mining tools and techniques, including in areas of summarization, search (e.g., ELK Stack), entity extraction, training set generation, and anomaly detection.
• Experience developing data analysis prototypes.
• Practical experience applying data analytics to business problems.
• Familiarity with CI/CD techniques to develop and release software using containerized pipelines.
• Experience automating data cleansing, formatting, staging, and transformation.
• Experience with Deep Learning Frameworks.
• Python experience with ML libraries, such as SciKit Learn, TensorFlow, and Keras on both CPU and GPU compute architectures.
• Experience with interpretability of deep learning models.

Pay Range

Pay Range $53,300.00 - $82,000.00 - $110,700.00

The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.

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