Data Scientist

Leidos, Inc.
Springfield, VA, United States
13 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
2 years minimum
Compensation
$92,300.0 - $166,850.0
Working hours
Regular working hours

Tech stack

Java (Programming Language) Microsoft Windows Data Analysis ArcGIS (Software) Big Data Cloud Computing Computer Programming Databases Data Conversion Data Mining Data Visualization Database Storage Structures
+13 more
Python (Programming Language) Linux Commands SQL Databases Data Processing Scripting Apache Spark Deep Learning Jupyter Git Raster Graphics Docker Databricks Programming Languages

Job description

Leidos has an opening for a Exploitation Specialist/Data Scientist- Senior supporting our customer in Springfield Virginia.

Primary Responsibilities

  • Collect process data and perform data analysis.
  • Integrate centralized protect and maintain data in DBMS.
  • Clean, condition, 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.
  • Create/deploy/maintain cloud applications to support migration of data and production processes
  • Create/deploy/maintain tools to extract features data and metadata from a variety of sources, including raster to vector, vector to vector text, text to vector and text database.
  • Write/maintain Python scripts in ArcGIS to improve efficiency of the production process.
  • Support business processing re-engineering.
  • Perform data conversion/migration.

Requirements

  • Typically requires a Bachelor’s degree and 8 - 12 years of prior relevant experience or Master’s degree with 6 - 10 years of prior relevant experience.
  • Quantitative BS + 10 yrs or quantitative MS + 7 yrs.
  • Programming (Python/Pig/Java/JS/SQL/R), spatial analysis, data mining, database structures, visualization.
  • Statistical/mathematical modeling.
  • Experience managing data science projects, data mining, spatio-temporal analysis. Docker/Jupyter Hub/GIT.
  • Experience with “big data” processing and analytics (Databricks/Apache Spark or similar).
  • Active TS/SCI with ability to be approved for a Poly

Preferred Qualifications

  • Quantitative PhD.
  • Deep learning for data science.
  • 2+ programming languages, 2+ data visualization tools, 2+ cloud technologies.
  • Windows/Linux command line interface (CLI) experience.
  • Demonstrated IC experience.

GEOINTMISSION

Benefits & conditions

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 the company

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., 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 .

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.financialjobbank.com

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

6:21 min

Investigating push inefficiencies with upstream Git experts

Jonathan Creamer · Coffee With Developers

2:07 min

Inspecting default bridge architectures and custom Docker networks

Oliver Seitz Oliver Seitz · WWC 2025

3:31 min

Producing candlestick visualization charts inside integrated Jupyter notebooks

Akmal Chaudhri Akmal Chaudhri · LIVE

3:09 min

Balancing data science skillings alongside systems engineering rigor

Nico Schmidt · LIVE

56 sec

Favorite git commands and the importance of patch commits

Eileen Uchitelle Eileen Uchitelle +1 · Coffee With Developers

4:10 min

Introduction to technical background and geospatial roles

Joana Simoes · LIVE

Videos

See all

Related articles

See all