Data Scientist

Leidos•Springfield, VA

11d•$92,300 - $166,850•Onsite

About The Position

Leidos has an opening for a Data Scientist supporting our customer in Springfield Virginia. 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.

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

Nice To Haves

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.

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.