Principal Data Scientist

Description

Job Description:

The Principal Data Scientist is to provide mission critical support to our customer.  As part of an Agile Team, you will design, develop, and maintain software applications using a tailored SAFe Agile DevSecOps Scrum process. This role implements data auditing, reporting, and security through the use of existing tools and developing new ones. This role requires familiarization with a broad range of data analysis tools and techniques This role leads complex projects requiring data analysis, interpretation, and communication to support decision-makers and customers.

This role evaluates and uses algorithms for Natural Language Processing (NLP), Artificial Intelligence (AI), and Machine Learning (ML). This role develops scripts, notebooks or applications (using Python or Java and associated libraries or frameworks: Scikit-Learn, Numpy, Tensorflow, Pytorch, Spark, Spark MLlib, H20.ai, etc.) that utilize, collect, aggregate and clean large data sets to perform analysis, clustering, entity resolution and structured information extraction for work products. Models are trained and refined using these tools and evaluated for effectiveness using appropriate criteria/metrics for the task. This role collaborates across a team of Data Scientists, Data Administrators, Software and Data Engineers to produce work products.

Primary Responsibilities:

• This role designs and develops methods, processes, and systems to consolidate and analyze structured and unstructured, diverse sources including big data sources

• This role develops and uses advanced software programs, algorithms, query techniques, models complex business problems, and automated processes to cleanse, integrate, and evaluate datasets

• This role supports objectives and tasks by leveraging numerous tools and techniques to include Python, Splunk, query experience, R and the like

• Works with cross-discipline teams to ensure connectivity between various data sources and business problems

• Identifies meaningful insights and interprets and communicates findings and recommendations

• This role develops algorithms and analytical techniques to improve business performance

• Maintains awareness of emerging analytics and big-data technologies

Basic Qualifications:

• Experience with Python, Splunk, and query experience is required

• Experience negotiating complex scenarios and challenges and devising courses of action to resolve situations with predictable outcomes

• Experience leading critical objectives where decision-making is of utmost concern to the outcome.

• Experience supervising others

• Candidate must have Masters with 12-15 years of prior relevant experience or Doctorate with 8+ years of prior relevant experience. Additional years of experience may be accepted in lieu of education.

Clearance/Citizenship:

• Candidate must be US Citizen

• Candidate must have an active TS/SCI with Polygraph

Preferred Qualifications:

• Experience with R and MapReduce

NSORCT

Pay Range:

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.

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 46,000 employees support vital missions for government and commercial customers. Headquartered in Reston, Virginia, Leidos reported annual revenues of approximately $14.4 billion for the fiscal year ended December 30, 2022.  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.