To our valued Leidos candidates:

Coronavirus is on everyone's mind with the effects being felt around the world. The markets are volatile, and we're all concerned for the health and safety of our families, friends, and colleagues. Please know that we're taking all necessary measures to safeguard our employees, customers and the communities in which we live, including following all recommended best practices around social distancing.

With that in mind, in an abundance of caution, we are canceling all face to face career events, such as job fairs and open house events. In the coming days and weeks, we will be hosting career events virtually, using our online chat tools so that we may continue our hiring practice safely and securely. You can find available virtual career events at https://career-events.leidos.com.

We are using telephone meetings and online chats via Brazen to conduct interviews and hiring discussions, and we are offering options for video interviews so that you can have a virtual face to face meeting with your potential new leader. We do not conduct interviews or extend offers via text or chat based social media, such as WhatsApp or MySpace.

Leidos will never ask you to provide payment-related information at any part of the employment application process, nor will Leidos ever advance money as part of the hiring process. And Leidos will communicate with you only through emails that are generated by Leidos.com automated system. If you receive an email purporting to be from Leidos that asks for payment-related information or any other personal information, please report the email to Chris Scalia, Leidos’ Senior Vice President of Talent Acquisition, at [email protected].

As a company, as a country, as a world, we have confronted challenging moments before. We are confident that, guided by our values and the strength of our community as well as the commitment we have to the important work we do each day, we will find our way through this time together. We will do this with the care and concern for one another and the common good that defines. Please keep those impacted by the virus in your thoughts.

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Job #: R-00067337
Location: Gaithersburg, MD
Category: Data Scientist
Schedule (FT/PT): Full Time
Travel Required: No
Shift: Day
Potential for Telework: No
Clearance: Top Secret
Referral Eligibility: Ineligible
Group: Civil

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Description

Job Description:

Leidos is looking for a Data Scientist to support a large opportunity for Leidos supporting operations for Integrated Information & Cyber Security Services including Enterprise Operations, End User Support, Software Engineering, Cloud technologies and Cyber Security.  The Scientist will be expected to build statistical models, test hypotheses, interpret, summarize, visualize, and succinctly report on data findings. The Data Scientist will perform research on various data sources, to include unstructured data using quantitative and qualitative content analytics. The Scientist will construct and perform complex database search queries in multiple databases using SQL and API interfaces. The Scientist will perform web scraping and apply various techniques for processing unstructured data.  The Scientist will leverage automation and machine learning to manage data, predict scenarios and make recommendations. The Data Scientist will contribute to building new analytical tools and packages across the enterprise and will be expected to collaborate with team members in a highly technical environment.

Primary Responsibilities

Responsibilities include the following:

  • Identify business opportunities through the use of algorithmic, statistical, visualization, and data mining techniques.
  • Lead business problem definition explaining to the business the value that advanced analytics solutions will drive, as well as possible complications, needed resources, and who will interact with the predictions or results.
  • Lead the development of the data necessary to execute analytics solutions by collating and cleaning data from various sources to create input datasets.
  • Support exploratory data analysis and feature engineering to prepare data for modeling.
  • Build base models by selecting the appropriate approach per the data and business problem and carefully tune hyperparameters in order to produce the best result.
  • Lead the communication of results to technical and non-technical audiences including senior business leaders.
  • Produce and disseminate non-technical reports that detail the successes and limitations of each project.
  • Stay informed about developments in Data Science and adjacent fields to ensure that outputs are always relevant.
  • Perform other duties as assigned.

Basic qualifications

  • Active TOP SECRET clearance and/or U.S. Department of Energy Q clearance
  • Bachelor’s degree in a highly quantitative subject or related field (for example, statistics, mathematics, economics, or related field) and 12 years of experience
  • Strong experience working with Python or R programming languages
  • Experience working with data manipulation, analytic/business insight tools, and data visualization experience
  • Experience with SciPy stack or Tidyverse packages
  • Experience constructing and performing complex database search queries
  • Experience/ knowledge of computer science concepts, data architecture, and experience/knowledge of statistics
  • Demonstrated experience using statistical and machine learning techniques including supervised and unsupervised learning and natural language processing
  • Experience /familiarity with frequentist statistics and probability including predicative modeling
  • Experience with visualizing data using popular packages including Tableau, ggplot or Matplotlib
  • Ability to communicate technical findings to non-technical audiences
  • Staff shall meet DoD 8570 SD 205.1
  • IAT Level III Certified

Preferred Qualifications

  • Experience/knowledge of social network and link analysis tools is desired (e.g., Palantir, i2 Analyst’s Notebook, or Proton)
  • Experience working with Amazon Web Services (AWS) is desired
  • Experience with front end web development is desired but not required
  • Experience designing and implementing neural network architectures

Pay Range:

COVID Response

Effective October 1, in order to enter Leidos facilities in the US and to attend Leidos business events outside our facilities, employees will be required to be vaccinated for COVID-19 or maintain proof of a negative COVID-19 test within 96 hours of entry.  Effective December 8, all Leidos employees must be fully vaccinated (2 weeks past final dose) unless they are entitled to a legal accommodation. 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® information 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 $12.30 billion for the fiscal year ended January 1, 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

Leidos will never ask you to provide payment-related information at any part of the employment application process. And Leidos will communicate with you only through emails that are sent from a Leidos.com email address. If you receive an email purporting to be from Leidos that asks for payment-related information or any other personal information, please report the email to [email protected].

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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