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Are you ready for a rewarding career
Unleash your potential at Leidos where we deliver innovative solutions through the efforts of our diverse and talented people who are dedicated to our customers success. We empower our teams contribute to our communities and operate sustainably. Everything we do is built on a commitment to do the right thing for our customers our people and our community. Our Mission Vision and Values guide the way we do business.
The MultiDomain Solutions Division is seeking a Data Scientist in Aurora Colorado. Candidate must have an active TS/SCI w/Poly Clearance.
Primary Responsibilities:
Assemble large complex sets of data to meet functional and other requirements
Build statistical models test hypotheses interpret summarize visualize and succinctly report on data findings
Build requisite infrastructure for optimal extraction transformation and loading of data from various sources
Perform research on various data sources to include unstructured data using quantitative and qualitative content analytics
Construct and perform complex database search queries in multiple databases using SQL and API interfaces
Perform web sing and apply various techniques for processing unstructured data
Identify design and implement internal process improvements
Optimize data delivery and automate manual processes
Curate and maintain data stored in support of metrics and evaluation
Design build test maintain and automate data collection/pipelines
Develop Dashboards for Data Analytics
Leverage available resources to normalize and manage data predict scenarios and make recommendations
Contribute to building new analytical tools and packages across the enterprise
Contribute to the design and evolution of the clients enterprise data architecture ensuring interoperability security and alignment with business goals
Collaborate with team members in a highly technical environment
Collaborate with multiple stakeholders to drive data integration initiatives and foster a datadriven culture
Analyze current data structure tagging and quality standards to discover and address anomalies
Analyze current practices to ensure compliance with relevant regulations and contract requirements
Learn and leverage emerging technologies as they become available/accepted within the customer environment
Brief and interact with personnel at all levels of experience including Senior Officials
Basic Qualifications:
Must have an active TS/SCI w/Poly clearance
US Citizen
Bachelor of Science Degree in Data Science Computer Science Mathematics Statistics or other relevant technical program with 8 years of experience or additional years of experience in lie of degree
Skilled in data extraction and analysis from COTS products
Experience with data manipulation analysis analytic/business insight tools and data visualization
Experience constructing and performing complex database search queries
Experience establishing/developing data pipelines and normalizing data
Proficiency with MS Excel and MS Access for design development and exploitation of datasets and databases
Proficiency with programming (e.g. Python R) and machine learning toolkits
Advanced problemsolving skills for unstructured datasets
Capable of presenting technical information effectively to both technical and nontechnical audiences
Strong organizational time management and omnidirectional communication abilities
Technical writing and critical reading
Experience producing executivelevel products
Ability to work efficiently on small distributed teams
Preferred Qualifications:
Familiarity with nonlinear workflows
Familiarity with TTP development process
Knowledge of computer science concepts data architecture and statistics
Experience/familiarity with frequentist statistics and probability including predicative modeling
For U.S. Positions: 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.
Full-Time