Data Scientist

Description

Leidos is seeking a Data Scientist to support an enterprise IT program. The Sponsor requires expertise in data science to help identify and facilitate integration of AI/ML capabilities into Sponsor-developed enterprise applications.

Primary Responsibilities

The Sponsor is an IT-oriented office that aims to revolutionize analysis by creating and supporting tools that enable analysts to find relevant information more effectively, to identify connections across datasets, and efficiently publish reports to the community. It also provides IT consultation services to help various customers to achieve their strategic goals. To that end, the Sponsor requires expertise in data science to help identify and facilitate integration of AI/ML capabilities into Sponsor-developed enterprise applications. The Data Scientists will identify and advise the Sponsor about the feasibility of integrating AI/ML capabilities—both internally developed "experimental" capabilities and commercial off-the-shelf (COTS) packages—into existing enterprise applications used for search and discovery or the production of reports. They will advise and assist in integration of AI/ML capabilities into the Sponsor’s existing enterprise applications as required as well as advise the Sponsor about the feasibility of technical requirements and the plausibility of technical claims. Finally, they will be responsible for reviewing commercial, open source, and government-provided technical information, systems, and demonstrations to evaluate claims of system performance and capabilities.

Basic Qualifications

• Bachelors degree and 12 years of experience. Work experience can be used/combined with education.
• Demonstrated experience collecting and interpreting customers’ technical requirements and (including AI/ML requirements) translating those requirements into action items for solicitation or development.
• Demonstrated experience evaluating technical information, systems, and demonstrations—particularly AI/ML focused—in light of requirements and communicating conclusions to customers.
• Demonstrated experience performing system testing to validate performance and functionality claims and to assess integration potential with existing systems.
• Demonstrated experience working in a technical environment with data visualization tools such as Tableau and Power BI.
• Demonstrated experience evaluating tools and algorithms that perform natural language processing, data mining, and analysis.
• Demonstrated experience with machine learning concepts and associated computing frameworks.
• Demonstrated experience developing for, and deploying software onto, cloud computing environments such as Amazon Web Services.
• Demonstrated experience working in a technical environment with data formats such as XML, and JSON.
• Demonstrated experience working in a technical environment with hierarchical, relational, and non-structured databases.
• Demonstrated experience working in a technical environment with programming languages such as SQL, No-SQL, Python, C++, Java, and Ruby on Rails.

Preferred Qualifications

• Demonstrated experience integrating AI/ML capabilities into existing enterprise applications.
• Demonstrated experience with the Sponsor’s datasets, to include unstructured, structured, and semi-structured datasets
• Demonstrated experience working with the Sponsor’s analyst cadre and familiarity with the Sponsor’s analytic culture.
• Demonstrated experience working with large language models and general artificial intelligence models.
• Demonstrated ability to creatively solve problems and an established track-record for working across organizations while effectively engaging with analysts, managers, developers, data scientists, and other stakeholders.
• Demonstrated experience working with the Sponsor’s startup incubator, to identify, evaluate, and transition commercial software tools.
• Demonstrated experience with functional evaluation of the Sponsor's proprietary software.
• Academic and or work experience in the fields of Data Science, Operations Research, or Computer Science

Pay Range:

Pay Range $122,200.00 - $220,900.00

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.

While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.

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 47,000 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.

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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.