Key job responsibilities
Design and deliver big data architectures for experimental and production consumption between scientists and software engineering.
Develop the end-to-end automation of data pipelines, making datasets readily-consumable by science and engineering teams.
Create automated alarming and dashboards to monitor data integrity.
Create and manage capacity and performance plans.
Act as the subject matter expert for the data structure and usage.
Experience working as a Data Scientist
Experience with data scripting languages (e.g. SQL, Python, R etc.) or statistical/mathematical software (e.g. R, SAS, or Matlab)
Experience with machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance
Experience applying theoretical models in an applied environment
Experience in Python, Perl, or another scripting language
Experience in a ML or data scientist role with a large technology company
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