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.

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Job #: R-00059393
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: None
Referral Eligibility: Eligible
Referral Bonus Amount: $5000.00
Group: Leidos Innovations Center (LInC)

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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 in ways to determine the value of the data and extract that value 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 the extract, transform, and load (ETL) for multi-domain data. Apply various machine learning algorithms to the multi-domain data to measure the performance of the algorithm and the suitability of the data. Your first set of algorithms will be for natural language processing (NLP). The NLP includes libraries/toolkits like Stanford CoreNLP, Spacy, NLTK, Word2Vec and Gensim along transformer models like BERT. With those models and libraries, you will explore subjects like domain adaptation both with supervised and unsupervised approaches. You will also build domain adaptive prototypes to examine the operational capabilities of bi-directional learning. Helpful if you are a self-starter and honestly self-assessing to know when to seek assistance. We will need you to communicate well and able to present your work to internal and external groups.

Skills you need to be successful in this role:
•    Bachelor's degree in Computer Science, Data Science or related field and 2 years of relevant experience or Masters with less than 2 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

External Referral Bonus:

Eligible

External Referral Bonus $:

$5000.00

Potential for Telework:

Yes, 100%

Clearance Level Required:

None

Travel:

Yes, 10% of the time

Scheduled Weekly Hours:

40

Shift:

Day

Requisition Category:

Professional

Job Family:

Data Scientist

Pay Range:

Pay Range $54,600.00 - $84,000.00 - $113,400.00

#Remote

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, homeland security, civil, and health markets. The company’s 40,000 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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