Data Scientist

Leidos Inc

Englewood (CO)

On-site

USD 108,000 - 195,000

Full time

5 days ago
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Job summary

Leidos Inc. is seeking an experienced Data Scientist in Englewood, CO. The role focuses on assembling large data sets, building pipelines, and developing predictive models to support data-driven decisions across the enterprise.

The candidate will design and maintain data infrastructure, perform unstructured data analysis, create dashboards, and collaborate with cross-functional teams to drive analytics and improve operations. A strong background in Python/R and SQL is required.

Qualifications

  • Bachelor of Science degree in a relevant technical field with 8+ years of experience (or additional experience in lieu of degree).
  • Experience extracting and analyzing data from COTS products.
  • Experience building data pipelines and normalizing data.
  • Proficiency with Python and/or R and machine learning toolkits.
  • Ability to present technical information to diverse audiences.

Responsibilities

  • Assemble and analyze large, complex data sets to meet requirements.
  • Build statistical models, test hypotheses, and report findings.
  • Develop data pipelines and automate data collection/ETL processes.
  • Create dashboards for data analytics and visualizations.
  • Collaborate with stakeholders to drive data integration and insights.

Skills

Data analysis
Statistical modeling
Machine learning toolkits
Data visualization
Python
R
MS Excel
MS Access

Education

Bachelor of Science in Data Science / CS / Math / Stats or related field

Tools

SQL
API interfaces
Tableau
Web scraping
Data pipelines

Job description

Description

Leidos is seeking an experienced Data Scientist in Englewood, CO.

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 scraping 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 client's 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 data-driven 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
  • US Citizenzhip
  • Active TS/SCI and eligible to obtain a TS/SCI w/poly clearance
  • Bachelor of Science Degree in Data Science, Computer Science, Mathematics, Statistics or other relevant technical program, with 8+ years of experience. Additional years of experience in lieu of degree are acceptable.
  • 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 problem-solving skills for unstructured datasets
  • Capable of presenting technical information effectively to both technical and non-technical audiences
  • Strong organizational, time management, and omnidirectional communication abilities
  • Technical writing and critical reading
  • Experience producing executive-level products
  • Ability to work efficiently on small, distributed teams
Desired Knowledge
  • Familiarity with non-linear 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
  • Experience with Tableau

#NSBA

If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo - because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 - and moving faster than anyone else dares.

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.

Pay Range $107,900.00 - $195,050.00

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 at www.leidos.com/careers/pay-benefits.

About Leidos

Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. Headquartered in Reston, Virginia, with 47,000 global employees, Leidos reported annual revenues of approximately $16.7 billion for the fiscal year ended January 3, 2025. For more information, visit www.Leidos.com.

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 LeidosCareersFraud@leidos.com.

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 Non-Discrimination

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.

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