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.

Close Window
Join our talent network

Job #: R-00066729
Location: Remote, United States
Category: Data Scientist
Schedule (FT/PT): Full Time
Travel Required: Yes, 10% of the time
Shift: Day
Potential for Telework: Yes, 100%
Clearance: Top Secret/SCI
Referral Eligibility: Eligible
Referral Bonus Amount: $5000.00
Group: Leidos Innovations Center (LInC)

Share: mail twitter linkedin

Description

Job Description:

Looking for work life balance working from home doing Natural Language Processing? Look no further as we have just the job for you!

Leidos is looking for Data Scientists who want to be responsible for the collecting, cleaning and munging of data to facilitate natural language processing (NLP). The candidate must be familiar  with NLP contextual  analysis in order to judge the suitability to enable information for discovery and decision support. Our data scientist are part detectives and business analysis. The detective work comes in handy when parsing, clustering, and stratifying the data to find and amplify signals in the data. The business analysis is used to determine what signals they should look for based their understanding of the client’s business goals for collecting the data. 

These are the fun things you will be doing on the job:
Be responsible for handling  and directing technical teams to extract, transform, and load for  features to support NLP for multi-domain datasets. You will be customizing and creating various machine learning algorithms to multi-domain data and determine and implement ways to optimize that performance of those algorithms on the data. 

Employ NLP  libraries/toolkits like Stanford CoreNLP, Spacy, NLTK, Word2Vec and Gensim along transformer models like BERT. With those models and libraries, explore subjects like domain adaptation both with supervised and unsupervised approaches. Build domain adaptive prototypes to examine the operational capabilities of bi-directional learning. Need to be a self-starter and honestly self-assessing to know when to seek assistance. Also, the position requires you to conduct research, document that research, submit your research for publication, and present your research at conference and other public forums.

Skills you need to be successful in this role:
•    Bachelor's degree in Computer Science, Data Science or related field and at least 6 years of relevant experience or Masters with 4 years’ experience or 4 additional years of experience in lieu of Bachelor's degree.
•    Must be able to obtain TS/SCI with Poly security clearance
•    Good understanding of machine learning algorithms, tools and platforms
•    Experience in at least three of these Toolkits: NumPy, SciPy, scikit-learn, TensorFlow, Pytorch, Keras, Genism, vow pal wabbit, Stanford CoreNLP, ,  etc.
•    Understanding of programming fundamentals
•    Python proficiency
•    Self-starter and intellectual curiosity
•    Great communication skills, ability to explain predictive analytics to non-technical audience
•    Proficiency in data exploration techniques and tools

You will wow us even more if you have these skills:
•    Experience programming machine learning algorithms for GPUs
•    Understanding of Convolutional Neural Nets
•    Working knowledge of Word2Vec, NLTK, BERT
•    Discernment of when and how to use machine learning regulation

LInC
AIML

Pay Range:

Pay Range $71,500.00 - $110,000.00 - $148,500.00

#Remote

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.

   Save Job Saved

Talent Community

Join our Talent Community to create a profile, enabling a streamlined application process and to help our recruiters better understand your areas of expertise and interest.

Join our Talent Community