Data Scientist
April 17
Description
• Own and deliver projects starting with very diverse data and business targets • Contribute to general features for the internal product library while delivering for specific clients • Own report delivery for clients, and contribute to library documentation • Explore and present datasets and narrative visualizations • Build linguistic and statistical general models • Translate business problems into specifications for computational tasks like classification or ranking
Requirements
• 2+ years writing queries in SQL or running models in Python/Jupyter • 2+ years doing statistical analysis • Write and speak clearly, communicate em-pathetically • Highest standard of excellence for your work • Impeccable attention to detail: spotting typos in variables, syntax errors in text and gremlins in data • Ability to define evidence-based, quantifiable solutions to open-ended business problems
Benefits
• Paid Time Off • Work From Home • Training & Development
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