Maxar Technologies · 4 months ago
Mid-Level Data Scientist
Reston, VA
Full-time
Onsite
Mid, Senior Level
$108K/yr - $180K/yr
5+ years expMaxar Technologies is seeking a Mid-Level Data Scientist to support the data science team by automating data workflows and preparing large-scale datasets for analysis. The role involves collaborating with senior data scientists and utilizing technical skills in data wrangling and big data processing to contribute to critical analytic insights for government stakeholders.
AerospaceGeospatialGovernmentRemote SensingSatellite CommunicationTelecommunications
No H1B
Security Clearance Required
Responsibilities
Collaborate with senior data scientists to prepare, clean, and process structured and unstructured datasets for analysis
Automate ETL workflows and streamline repetitive data preparation tasks using Python, SQL, and scripting tools
Operate in big data ecosystems using tools such as Spark, Hadoop, or their cloud-native equivalents (e.g., AWS Glue, Azure Synapse, Databricks)
Assist in the development and deployment of data pipelines in collaboration with data engineering and DevOps teams
Implement basic statistical analyses, visualizations, and reporting to support exploratory data analysis and hypothesis validation
Maintain detailed documentation of data preparation methods, scripts, and pipeline configurations
Support integration of data into downstream modeling and LLM/NLP workflows
Contribute to operationalizing data products, APIs, and internal data access tools
Work in containerized environments (e.g., Docker) and CI/CD pipelines when deploying scripts or tools
Gain exposure to knowledge management systems supported by LLMs and assist in tagging or curating training datasets for LLM models
Qualification
Required
Current/active TS/SCI security clearance and be willing and able to obtain CI polygraph
5 years of professional experience in data science, analytics, or data engineering roles
Bachelor's degree in data science, computer science, engineering, statistics, GIS, or related discipline. Degree may be substituted with an additional 2 yrs of experience
Proficiency in Python and SQL; familiarity with R is a plus
Experience with data wrangling libraries (e.g., pandas, PySpark) and working with APIs or batch processing tools
Familiarity with ETL pipelines and orchestration tools (e.g., Apache Airflow, Clairvoyant, or similar)
Comfortable working with large datasets in distributed environments (e.g., Spark)
Foundational understanding of containers (e.g., Docker) and how they are used in deploying data workflows
Exposure to cloud platforms such as AWS, Azure, or GCP, especially in data-related services
Strong attention to detail and documentation practices
Preferred
Master's degree in a technical field (e.g., Data Science, Computer Science, Engineering)
Experience using Clairvoyant or similar orchestration platforms to manage and monitor data pipelines
Familiarity with container orchestration tools like Docker, Rancher, or Kubernetes
Basic knowledge of LLM and NLP concepts, including using pre-trained models for simple tasks like summarization or keyword extraction
Basic familiarity with GIS tools and data
Exposure to building internal dashboards or search tools powered by backend data models
Experience working in agile teams or cross-functional technical environments
Understanding of responsible AI practices and basic data ethics
Benefits
Dedicated professional development time.
Peer groups.
Education reimbursement.
Student loan forgiveness.
Paid time off
Health and welfare insurance
401(k)
Company
Maxar Technologies
Maxar Technologies is a space technology firm that offers communication and observation satellites for commercial and government sectors.
1001-5000 employees
Funding
Current Stage
Public CompanyTotal Funding
unknown2004-07-20IPO
Leadership Team
Arvind Srinivasan
Chief Technology Officer
Recent News
2025-08-20
2025-07-04
Company data provided by crunchbase