ME00575-Data Scientist 4

Job Summary

• Seeking a Data Scientist to support mission-focused data analysis and processing by developing data-driven solutions that enable optimization, automation, and enhanced collection workflows
• This role requires strong technical proficiency in data manipulation, API integration, and Python-based analytics, with the opportunity to apply or develop AI/ML techniques within operational environments
• Candidates with strong data science fundamentals will be supported with training in mission-specific AI/ML applications as needed

Primary Responsibilities

• Develop and implement data-driven solutions to support optimization, automation, and collection processing
• Interact with and integrate APIs to retrieve, process, and analyze data from multiple sources
• Build and maintain tools and scripts for data ingestion, transformation, and analysis
• Perform data manipulation and aggregation using Python (Pandas DataFrames)
• Analyze large datasets to identify patterns, trends, and actionable insights
• Develop and support data pipelines and workflows to enable efficient data processing
• Collaborate with cross-functional teams to support mission requirements and evolving priorities
• Document data processes, methodologies, and analytic findings

Required Qualifications

• Must have active Top Secret/SCI clearance with Full Scope Polygraph (MD Customer)
• Master’s Degree with 6 years of relevant experience, Bachelor’s Degree with 8 years of relevant experience, or Associate's Degree with 10 years of in-depth relevant experience that is clearly related to the position
• Strong proficiency in Python, including experience with Pandas for data manipulation and aggregation
• Experience working with APIs (reading, using, and building integrations for data retrieval)
• Experience working with large datasets and performing data analysis
• Strong problem-solving and analytical skills
• Ability to work effectively in a team-oriented, mission-driven environment

Desired Qualifications

• Experience applying AI/ML techniques for optimization, automation, or data processing (training can be provided for strong candidates)
• Experience with data visualization tools, such as Plotly, Shapely, or GeoPandas
• Familiarity with XKEYSCORE (XKS) / Data Exchange (DX) and understanding of data flow concepts
• Experience with Splunk, SQL, Elasticsearch, Kibana, or networking fundamentals

Exempt hourly position. 11 paid holidays, minimum of 3 weeks PTO, company sponsored group medical plan, company paid dental, vision, life insurance, and STD/LTD plans. Salary is dependent upon the candidate’s experience and qualifications.