Mid-Level Data Scientist at Maxar Technologies

The Mid-Level Data Scientist will collaborate with senior data scientists to prepare, clean, and process structured and unstructured datasets for analysis. Responsibilities include automating ETL workflows and streamlining repetitive data preparation tasks using Python, SQL, and scripting tools, as well as operating within big data ecosystems using tools like Spark, Hadoop, or their cloud-native equivalents. The role involves assisting in the development and deployment of data pipelines, implementing basic statistical analyses, visualizations, and reporting, and maintaining detailed documentation of data preparation methods, scripts, and pipeline configurations. Additionally, the position supports the integration of data into downstream modeling and LLM/NLP workflows, contributes to operationalizing data products, APIs, and internal data access tools, and works within containerized environments and CI/CD pipelines. Exposure to knowledge management systems supported by LLMs and assistance in tagging or curating training datasets for LLM models are also part of the role.