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Job #: R-00087400
Location: Remote, US
Category: Data Scientist
Schedule (FT/PT): Full Time
Travel Required: No
Shift: Day
Potential for Telework: Yes, 75%
Clearance: Secret
Referral Eligibility: Eligible
Referral Bonus Amount: $3000
Group: Defense

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Description

Job Description:

The Defense Group at Leidos has an opening for a 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

  • 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.

  • Communicate effectively with team members and managers.

  • 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.

  • 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.

  • 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.

  • Develop, train and deploy AI/ML models using resources and tools in an AWS containerized environment.

  • Prototype ML solutions in Jupyter notebooks.

  • Collaboratively work 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.

Basic Qualifications

  • B.S. degree in Aerospace Engineering, Computer Science, Mathematics, Statistics, Physics, Electrical Engineering, Computer Engineering, Data Science, or Data Analytics and 2+ year of related experience obtained through any combination of coursework and internships.

  • Educational experience or courses/projects in Artificial Intelligence, Machine Learning and Statistics.

  • 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.

  • 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.

  • Experience in R, Java, Python, Scala, SAS, SPSS or similar.

  • Experience following a software development lifecycle, including developing and maintaining production quality code.

  • Ability to obtain interim Secret DoD Security clearance prior to start date.

  • Ability to obtain Security+ certification or equivalent DoD 8570 IAT II certification within 60 days of start date.

Preferred Qualifications

  • Experience developing data analysis prototypes.

  • Practical experience applying data analytics to business problems.

  • Experience automating data cleansing, formatting, staging, and transformation.

  • 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.

  • Familiarity with CI/CD techniques to develop and release software using containerized pipelines.

  • Experience with Big Data tools including Elasticsearch, Logstash and Kibana, Apache Kafka, NiFi, Apache Spark, Neo4J, Predictive Insights, and Splunk.

  • Experience with Deep Learning Frameworks.

  • Experience with interpretability of deep learning models.

  • Python experience with ML libraries, such as SciKit Learn, TensorFlow, and Keras on both CPU and GPU compute architectures.

Pay Range:

Pay Range $60,450.00 - $93,000.00 - $125,550.00

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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Covid Guidance

In order to enter Leidos facilities in the U.S. and to attend Leidos events outside our facilities, employees are required to be vaccinated for COVID-19 or maintain proof of a negative COVID-19 test within 96 hours of entry. In addition, we are receiving guidance from certain customers that onsite contractor personnel will need to be fully vaccinated to access customer facilities. If you are not vaccinated, please consider getting your COVID-19 vaccination as soon as possible. If you have any questions, please contact your Talent Acquisition POC. 

About Leidos

Leidos is a Fortune 500® technology, engineering, and science solutions and services leader working to solve the world’s toughest challenges in the defense, intelligence, civil, and health markets. The company’s 43,000 employees support vital missions for government and commercial customers. Headquartered in Reston, Virginia, Leidos reported annual revenues of approximately $13.7 billion for the fiscal year ended December 31, 2021. For more information, visit www.Leidos.com.

Pay and Benefits

Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available here.

Securing Your Data

Beware of fake employment opportunities using Leidos’ name. Leidos will never ask you to provide payment-related information during any part of the employment application process (i.e., ask you for money), nor will Leidos ever advance money as part of the hiring process (i.e., send you a check or money order before doing any work). Further, Leidos will only communicate with you through emails that are generated by the Leidos.com automated system – never from free commercial services (e.g., Gmail, Yahoo, Hotmail) or via WhatsApp, Telegram, etc. If you received an email purporting to be from Leidos that asks for payment-related information or any other personal information (e.g., about you or your previous employer), and you are concerned about its legitimacy, please make us aware immediately by emailing us at [email protected].

If you believe you are the victim of a scam, contact your local law enforcement and report the incident to the U.S. Federal Trade Commission.

Commitment to Diversity

All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws.

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