Data Scientist Senior

Type of Requisition:

Regular

Clearance Level Must Currently Possess:

Interim Secret

Clearance Level Must Be Able to Obtain:

Top Secret/SCI

Public Trust/Other Required:

None

Job Family:

Data Science and Data Engineering

Job Qualifications:

Skills:

Big Data, Data Visualization Tools, Distributed Databases, Machine Learning Methods, Programming Languages

Certifications:

None

Experience:

1 + years of related experience

US Citizenship Required:

Yes

Job Description:

DATA SCIENTIST SENIOR

YOUR IMPACT 

Own your opportunity to work with the largest government agency in the nation. Make an impact by advancing the Department of War’s mission to keep our country safe and secure. 

 

OUR COMPANY 

Iron EagleX (IEX), a wholly owned subsidiary of General Dynamics Information Technology (GDIT), delivers agile IT and Intelligence solutions. Combining small-team flexibility with global scale, IEX leverages emerging technologies to provide innovative, user-focused solutions that empower organizations and end users to operate smarter, faster, and more securely in dynamic environments.  

JOB DESCRIPTION 

The Data Scientist will support the Data Stewardship Program in Colorado Springs, CO. 

MEANINGFUL WORK AND PERSONAL IMPACT

As a Data Scientist, you will play a critical role in designing, implementing, and maintaining data pipelines that meet highly impactful mission requirements. You will apply your advanced expertise in data science and analytics to analyze and interpret complex structured and unstructured datasets, enabling actionable insights and data-informed decision-making. Additionally, you will lead the planning, execution, and management of machine learning projects, leveraging cloud-native platforms and advanced analytics solutions to drive mission success. Your work will directly contribute to solving some of the most challenging problems in the field, empowering the organization with innovative and data-driven solutions.

JOB DUTIES (INCLUDE BUT ARE NOT LIMITED TO)

• Design, implement, and automate processes to manipulate, analyze, and model structured and unstructured data.

• Research, develop, and implement predictive and prescriptive modeling, natural language processing (NLP), robotic process automation (RPA), and other advanced statistical methods.

• Coordinate research and analysis activities utilizing diverse data sources (structured and unstructured).

• Collaborate with Data Engineers to create robust data environments and enable comprehensive analytics.

• Perform large-scale data processing using tools like Apache Spark or Hadoop.

• Build and refine statistical models, and create data visualizations using tools like Tableau, Microsoft Power BI, or R Shiny.

• Conduct programming using R, Python (NumPy, SciPy, Pandas), or similar analytical programming languages.

• Develop and implement machine learning and data engineering solutions using cloud-based platforms such as Databricks, IBM Cloud Pak, Cloudera, or Snowflake.

• Communicate complex data-driven insights effectively to non-technical stakeholders through digital storytelling.

REQUIRED SKILLS

• Strong proficiency in at least one programming language (e.g., Python, R, Java, C++).

• Experience with distributed SQL programming and relational/non-relational database queries.

• Hands-on experience in applying data science methods and machine learning techniques to real-world problems.

• Expertise in data visualization tools such as Tableau, Microsoft Power BI, or R Shiny.

• Familiarity with advanced data processing frameworks such as Apache Spark or Hadoop.

• Experience with cloud-based data management and ML platforms like Databricks, IBM Cloud Pak, or Snowflake.

• Background in mathematical modeling, statistics, and advanced analytics.