Data Science Engineer GitHub |Remote - US / Canada


  • Identify business needs and translate them into requirements for unified data schemas, pipelines and tools for company wide impact
  • Design, develop and own holistic, robust and high quality data pipelines (from ETL to Business Intelligence tools) that power internal datasets for other data scientists, product, engineering and other business teams
  • Maintain and expand forecasting capabilities for the business at scale
  • Help the Data Science team scale statistical models to large datasets
  • Develop and maintain tools that support internal analytics and data science needs, such as advanced visualizations, graph data structures, storage, and querying, data dictionary etc.

Minimum Qualifications:

  • 3+ years related experience in data engineering or software engineering capacity, including experience in or close proximity to a data science or data analytics capacity
  • Experience designing robust unified data schemas in a denormalized environment, and ETL pipelines in a distributed data framework (Hive, Hadoop, Spark, Presto etc.)
  • Capable of developing reusable programmatic solutions for internal use such as front end applications and bots
  • Experience articulating business questions and using mathematical techniques to arrive at an answer using available data.
  • Demonstrated leadership and self-direction.
  • Demonstrated willingness to both teach others and learn new techniques.
  • Demonstrated effective written and verbal communication skills.
  • Experience doing analysis in either R or Python, knowledge of a SQL variant and familiarity with software development in a Python stack (e.g. Flask)

Apply Here