Exploitation Specialist/Data Scientist

Leidos; Virginia, Springfield (MN, IL); On-site; USD 80,000 - 130,000; Full time

Job summary

An established industry player is seeking a Senior Exploitation Specialist/Data Scientist to join a dynamic team. This role involves data collection, analysis, and the development of innovative cloud applications to streamline processes. With a focus on statistical modeling and data visualization, you'll be at the forefront of transforming complex data into actionable insights. Ideal candidates will possess strong programming skills and a passion for data science, with opportunities to work on impactful projects in a collaborative environment. If you're ready to take on exciting challenges in data analytics, this position is perfect for you.

Qualifications

• 10+ years of experience in data science or related field with a Bachelor's degree.
• Experience managing data science projects and performing data analysis.

Responsibilities

• Collect, process, and analyze data for insights and decision-making.
• Develop and maintain cloud applications for data migration.

Skills

Python

Data Mining

Statistical Modeling

SQL

Java

JavaScript

R

Spatial Analysis

Data Visualization

Education

Bachelor's Degree in Quantitative Field

Master's Degree in Quantitative Field

PhD in Quantitative Field

Tools

Docker

Jupyter Hub

GIT

Job description

Description

Leidos has an exciting opportunity for a Senior Exploitation Specialist/Data Scientist to join our team in Springfield, VA.

Primary Job Duties:

1. Collect, process data, and perform data analysis.
2. Integrate, protect, and maintain data in DBMS.
3. Clean, massage, and organize data.
4. Perform ad hoc analysis and present results clearly.
5. Communicate complex quantitative analysis using storytelling and visualization.
6. Create, deploy, and maintain cloud applications for data migration and production processes.
7. Develop tools to extract features and metadata from various sources, including raster and vector data.
8. Write and maintain Python scripts in ArcGIS to improve production efficiency.
9. Support Business Process Re-engineering.
10. Perform data conversion and migration.
11. Conduct Business Analytics.

Basic Qualifications

• Quantitative Bachelor’s degree with 10 years of related experience or a related Master’s degree with 7 years of experience.
• Skills in programming (Python, Pig, Java, JavaScript, SQL, R), spatial analysis, data mining, database structures, and visualization.
• Experience in statistical and mathematical modeling.
• Experience managing data science projects, data mining, and spatio-temporal analysis. Familiarity with Docker, Jupyter Hub, GIT.

Preferred Qualifications

• Quantitative PhD.
• Experience with deep learning in data science.
• Proficiency in 2+ programming languages, 2+ data visualization tools, and 2+ cloud technologies.
• Experience with Windows/Linux command line interface.
• Demonstrated Intelligence Community (IC) experience.