Senior Data Scientist — High Priority

Sr. Data Scientist Description: The well qualified candidate will actively participate in a data analytics challenge ‘bake off’ scenario in a compressed time interval of 10 days. They must 100% hit the “ground running” and be able to operate within a team on day 0. Must work well in a team and as an individual contributor. 

Required Skills (Must Have)
  • Year of experience: 
    • 5+ years of production level experience working on predictive analytics, machine learning, AI in a cloud environment (GCP, Azure, AWS)
  • Platforms Used
    • 2+ DataBricks or comparable experience in production level predictive analytics, ML, and AI deployment, management, troubleshooting
  • Development Experience
    • Should have experience in ML, AI model development in R and Python leading to production deployment level quality and performance 
    • Deep Learning experience: keras, tensorflow, pytorch, h2o
    • R experience: tidyverse including dbplyr, R markdown, Shiny, caret
    • Python experience: mllib, scikit-learn, pandas
  • Work experience
    • Summarize and analyze complex/large data to guide business insights
    • Independently merge and tidy data from multiple source systems, then conduct appropriate summarization or statistical analyses according to business stakeholder needs
    • Use data and visualizations to inform business solutions for organizational leaders
    • Organize databases, analyses, and reports into user-accessable and reproducible repositories
  • Kaggle contest experience and A-B testing experience in ML and AI
  • Experience with Git
  • Experience with Atlassian suite: Jira, Confluence
  • Experience with Microsoft suite: word, powerpoint, and excel
  • Excellent verbal and written communication skills
Education:
  • Ph.D. in Applied Mathematics, Data Science or Computer Science
  • Author citations in Mathematics or Computer Science publications
What we are not looking for:
  • Novice level ML, AI practitioners
  • Cloud solution architects
  • Cloud solution builders
  • Enterprise architects
  • Database administrators
  • Systems engineers
  • System administrators
  • Devops engineers
  • Software developers
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