Data Scientist

Description

Looking for the opportunity to work on problems that matter, with colleagues that share your interest and expertise in Data Analytics?

Leidos is looking for a Data Scientist to apply their expertise in Artificial Intelligence, Machine Learning, and Data Science solutions for the Solution Architects (SA) Program, internal and corporate research and as well as for clients' operational environments. In this role, you'll work on solving unique, challenging problems while identifying patterns within data sets to support process improvement, inform decision-making, and predict future outcomes.

This role requires a strong foundation in Data Science concepts, Python programming experience, and the ability to work in fast-paced development teams.
To be successful in this role, you should be highly motivated and collaborative, working well independently and within a team of junior and senior engineers, researchers, and corporate managers. You should be effective at documenting and presenting your work, and comfortable creating and communicating plans, progress, and results.

Primary Responsibilities
-Analyze data provided to identify trends, inform decisions
-Support developmental plans based on data findings related to program, personnel, training needs
-Support development and maintenance of primary program database and run interval reporting
-Implement appropriate modeling and data science strategies required to address customer needs.
-Communicate results and methods for solutions to internal and external stakeholders.
-Design, build, train, and evaluate machine learning models
-Work within teams of AI/ML researchers and engineers using Agile development processes

Basic Qualifications
-Bachelors' Degree and 12+ years experience in Data Science, Computer Science, Mathematics, or similar field. Additional years experience may be used in lieu of a degree.
-Strong Python programming fundamentals
-Strong R programming fundamentals
-Experience with data repositories and reporting tools, such as Power BI, SharePoint
-Experience with workflow tools, such as Tableau, Alteryx, Databricks
-Basic DevOps skills such as utilizing Docker containers, Git, and the CLI
-Experience with AI/ML tools, such as common Python packages (e.g., scikit-learn, NumPy, Pandas) and Jupyter notebooks
-Experience with tabular data analysis using languages such as SQL, R, and/or Python
-Demonstrated strong oral and written communication
-Ability to work in a team environment, as well as independently
-Adaptability to new challenges with a strong motivation to grow and learn in new areas
-General knowledge of Leidos business practices and overall corporate functions and organization
-Must have a Secret security clearance with the ability to obtain
a Top Secret clearance.

Preferred Qualifications
-Advanced study towards Masters university degree or data science-related certifications desired, but not required.
-Experience with data visualization libraries such as Plotly, Streamlit, and matplotlib.
-Experience with building LLM and other Generative AI applications.
-Willing to learn new skills and platforms to support data analytics.

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.

The Leidos pay range for this job level is a general guideline onlyand 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.

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