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.