Maxar is seeking a Senior Data Scientist to develop accurate, scalable, and mission-tailored data solutions for a hard and deeply buried target mission set, providing critical analytic insights to government stakeholders to enable timely and informed decision-making and impact national security objectives.
Requirements
- Proficient in Python, R, SQL, and tools/libraries for data analysis, machine learning, and automation.
- Demonstrated ability to independently conduct full-cycle data projects, from processing to reporting.
- Familiarity with foundational LLM/NLP concepts and experience applying pre-trained models (e.g., GPT) for internal automation or data summarization.
- Ability to work with minimal supervision and produce logically structured, actionable insights.
- Master’s degree in a technical field such as data science, computer science, statistics, or engineering.
- Expertise in advanced statistical and machine learning techniques, including NLP and unsupervised learning.
- Experience developing or fine-tuning LLMs and integrating them into knowledge systems or workflows.
Responsibilities
- Automate and optimize data extraction, cleaning, processing, and analysis tasks using scripting languages and ETL pipelines.
- Process and analyze large-scale, structured and unstructured datasets using big data frameworks (e.g., Spark, Hadoop, or cloud-native equivalents).
- Develop, test, and validate predictive models and novel statistical methods to solve mission-critical problems.
- Independently conduct end-to-end data science/engineering workflows with minimal supervision, from hypothesis generation to delivery of actionable insights.
- Clearly document methodologies and findings in formal written reports and present outcomes to both technical and non-technical audiences.
- Design, fine-tune, and implement Large Language Models (LLMs) to support knowledge management systems, including: Development of LLM-driven tools to automate summarization, tagging, and retrieval of internal data, reports, and documentation.
- Integration of LLMs into workflows to streamline knowledge capture, institutional memory, and information sharing.
Other
- Current/active TS/SCI security clearance and be willing and able to obtain CI polygraph.
- 10+ years of experience (or 12+ without a master’s) in data science, analytics, or a related technical field.
- Bachelor’s degree in data science, computer science, engineering, statistics, GIS, or related discipline.
- Strong verbal and written communication skills; able to explain complex findings clearly.
- Maxar Technologies values diversity in the workplace and is an equal opportunity/affirmative action employer.
