Geospatial Mission Solutions Data Scientist

Description

The Leidos Geospatial Mission Solutions Portfolio is seeking a change and thought leader in the field of geospatial data science. This is an exciting opportunity to elevate critical national-level missions through innovation, data-driven insight, and advanced analytic solutions.

As a Geospatial Mission Solutions Data Scientist, you will help shape the next generation of geospatial capabilities by applying data science to real-world intelligence challenges. This position straddles the worlds of direct customer mission support and Leidos-driven innovation, blending hands-on problem solving with forward-looking solution development.

We're looking for someone who thrives at the intersection of technology, analytics, and mission, and who is passionate about transforming geospatial data into actionable intelligence that drives smarter decisions and stronger outcomes.

Staffing Requirement

The work requires staff to provide the customer with data science and automation support. Staff will collect, process, and perform data analysis and deliver data driven solutions to quantitatively improve multiple mission areas. They will perform deep investigations on complex problems using applied statistics, building algorithms, and collaborating with teammates and customers to use their domain expertise to convey complicated realities to non-technical audiences. Any data management solutions created should take into consideration any modernization objectives, including modernized database applications as well as other enterprise activities.

Duties:

• Provide embedded GEOINT/ Data Science expertise to assure continuity of data provision to the customer.
• Statistical analysis and modeling of in-house created data.
• Automating repetitive data management tasks.
• Clean, convert, migrate, and organize data.
• Perform ad hoc analysis and present results in a clear manner.
• Communicate complex quantitative analysis in a clear, precise and actionable manner using storytelling/visualization. This may include data visualization of disparate sources via dashboards that can be understood by nontechnical audiences.
• Create/deploy/maintain tools to extract features data and meta-data from a variety of sources, including rasters, vectors, text, and other source databases.
• Write/maintain Python scripts for various environments and software including ArcGIS to improve efficiency of the production process.
• Deliver service solutions that integrate best practices to modernize current practices.
• Perform data Investigations on complex problems using applied statistics, building algorithms and collaborating with domain expertise to convey complicated realities to non-technical audience.
• Ensure new workflows can be integrated seamlessly with modernized database applications and enterprise-level APls.
• Data visualization of production metrics of in-house created data.

Skills and Experience

Required

• Typically requires a BA degree and 8 - 12 years of prior relevant experience or Masters with 6 - 10 years of prior relevant experience.
• 5 - 7 years of demonstrated programming skills with the ability to write/maintain scripts, including Python and JavaScript
• 3-5 years' experience in data science, including the areas of data collection processing exploitation, transformation services, modeling, and analytics.
• 3-5 years of demonstrated experience performing geospatial data management, including data type conversions coordinate systems in (latitude and longitude, UTM) and their conversions and knowledge of projections and their properties/conversions.
• Knowledge and experience using version control tools such as Git
• Knowledge and experience using GIS tools such as QGIS and/or ArcGIS
• Knowledge and experience using PostgreSQL, Postgis, PgAdmin
• Knowledge and experience using Application programming interfaces (APls)
• Knowledge and experience using applied statistics
• Knowledge and experience building algorithms

Desired

• Experience in combining digital cartography, computer technology, GIS, cartographic and geospatial production techniques, remote sensing, photography, and digital data formats.
• Experience performing data analysis to examine data from a variety of angles to determine hidden values, weaknesses, trends, and or opportunities next line knowledge of ESRI, ArcGIS/ArcPro and Arc Server
• Knowledge of database systems and architecture
• Ability writing SQL and NoSQL
• Understanding of cloud architecture, infrastructure, services (including geospatial specific microservices), and DevOps
• Experience working with geospatial data in multiuser enterprise environment.
• Experience with analyzing existing production systems and providing feature recommendations to enhance data science capabilities
• Experience working with DataBricks
• Experience working with Apache Spark

We're not looking for perfectly polished resumes or perfect fits. We're looking for people who break limits, ask hard questions, and don't wait to be told what's next. At Leidos, we're not following the roadmap - we're redrawing it.

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.

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.

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

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-Descrimination

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.