Data Scientist

Leidos

Leidos is at the forefront of delivering innovative solutions thanks to a diverse and talented workforce committed to customer success. The Data Scientist role in Aurora, Colorado is essential for driving data integration and modeling efforts, contributing to Leidos' mission of maintaining operational excellence and community trust.

In this role you can expect to have the responsibilities:

• Assemble large and complex datasets to fulfill functional requirements.
• Develop statistical models and visualize data findings for concise reporting.
• Optimize data infrastructure for extraction, transformation, and loading processes.
• Conduct research on diverse data sources, including unstructured data.
• Execute complex database search queries using SQL and API interfaces.
• Implement web scraping techniques to handle unstructured data.
• Identify and implement process improvements to enhance efficiency.
• Automate manual processes and optimize data delivery.
• Maintain data for metrics support and evaluation purposes.
• Design and manage data collection pipelines for analytics.
• Create dashboards for data analytics and visualization.
• Utilize resources for data normalization and predictive analysis.
• Participate in the development of enterprise analytical tools.
• Contribute to the design of enterprise data architecture.
• Collaborate with technical teams and stakeholders.
• Ensure compliance with standards and regulations.

This role comes with the following benefits:

• Opportunities for career advancement.
• Engagement in emerging technology learning.

This role requires you to have:

• TS/SCI clearance or TS with a current SSBI, and eligibility for TS/SCI w/Poly.
• Bachelor's in Data Science, Computer Science, Mathematics, or Statistics.
• Proficiency in Python and R programming.
• Experience with SQL and complex database queries.
• Skilled in data visualization tools and business insights.
• Proficiency in MS Excel and MS Access.
• Strong problem-solving skills for unstructured datasets.
• Effective oral and written communication abilities across technical levels.
• Organizational and time management skills.
• Technical writing and critical reading capabilities.

You would benefit from having:

• Familiarity with non-linear workflows and TTP development.
• Expertise in computer science, data architecture, and statistics.
• Knowledge of frequentist statistics and predictive modeling.

The position requires U.S. citizenship and an active clearance. The role is expected to remain open based on business needs, with the initial closing scheduled no earlier than three days after the original posting date.