Senior Data Scientist

Leidos•Springfield, VA

10d•$92,300 - $166,850•Onsite

About The Position

Leidos has an opening for a Exploitation Specialist/Data Scientist- Senior supporting our customer in Springfield Virginia. This role involves collecting and processing data, performing data analysis, integrating, protecting, and maintaining data in a DBMS, and cleaning, conditioning, and organizing data. The position also requires performing ad hoc analysis and presenting results clearly, communicating complex quantitative analysis effectively using storytelling/visualization, and creating/deploying/maintaining cloud applications and tools to support data migration and production processes. Additionally, the role involves writing and maintaining Python scripts in ArcGIS to improve production efficiency, supporting business process re-engineering, and performing data conversion/migration.

Requirements

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.