Senior Data Scientist

1918 St. Louis MO

Leidos

Leidos is an innovation company rapidly addressing the world's most vexing challenges in national security and health. Our 47,000 employees collaborate to create smarter technology solutions for customers in these critical markets.

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The Intelligence Group at Leidos has an opening for a Sr. Data Scientist to support our customer in St. Louis Missouri. This work requires staff to perform deep data investigations on complex problems using applied statistics, building algorithms, and collaborating with domain expertise to convey complicated realities to non-technical audiences.

Position Description: Exploitation Specialist/Data Scientist - Senior

Staffing Requirement:

This work requires staff to perform deep data investigations on complex problems using applied statistics, building algorithms, and collaborating with domain expertise to convey complicated realities to non-technical audiences.

Duties

Provide the customer with data science management and automation support. Any data management solutions created by the contractor should take into consideration any modernization objectives including the modernized database applications as well as other enterprise activities (e.g., GEOINT Workbench Foundation).

  • Provide embedded GEOINT/ Data Science expertise to assure continuity of Precise Imagery data provision to the customer.

  • 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.

  • Provide data visualization of disparate sources via dashboards that can be understood by non­ technical audiences.

  • Coordinate utilization and sustainment of the new database management processes and workflows with database developers and analysts.

  • Ensure new workflows have ability to be integrated seamlessly with our modernized database applications and enterprise-level APls.

  • Data modeling and simulation of production and change detection data of in-house created data.

  • Data visualization of production metrics of in-house created data.

  • Statistical analysis of in-house created data.

  • Scripting and coding to include converting Visual/Basic Maplnfo scripts to Python.

  • Implementing enterprise database management processes.

  • Automating repetitive data management tasks.

Skills and Experience:

Required

  • Bachelor’s degree in related field

  • Typically requires a BA degree and 8 – 12 years of prior relevant experience or Masters with 6 – 10 years of prior relevant experience.

  • A combination of 9 years of demonstrated experience in any three of the following tools/methodologies:

    • Python

    • ArcGIS, ArcSDE, ArcPro

    • Quantum GIS (QGIS)

    • PostgreSQL, Postgis, PgAdmin

    • Application programming interfaces (APls)

    • Using applied statistics

    • Building algorithms

  • Understanding and familiarity with the following tools:

    • Maplnfo, MapBasic

Desired

  • Experience with workflow management systems, such as Flowable

  • Understanding of the Customer Requirements process.

Original Posting Date:

2024-12-13

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:

Pay Range $89,700.00 - $162,150.00

The Leidos pay range for this job level is a general guideline only and 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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Category: Data Science Jobs

Tags: Data management Data visualization PostgreSQL Python Statistics

Perks/benefits: Equity / stock options

Region: North America
Country: United States

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