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.
The pay range for this role is:
135,000 - 180,000 USD per year (Ft. Meade MD)
