Role overview

Senior Data Scientist II- AI for Analytics

Requirements and responsibilities

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Details

  • 6+ years of work experience in a data science or related field
  • Have deeply engaged with AI workflows
  • Expert in Python (pandas), SQL, git, and Jupyter notebooks
  • Strong statistical and analytical skills
  • Built a machine learning, statistical, or AI model that made its way into production even if the code you wrote was completely rewritten before being deployed
  • 8+ years of work experience in a data science or related field
  • Led a cross-functional team to design a system of metrics that connected the business strategy to a set of core metrics and assigned ownership of those metrics to the team
  • Significant causal experimentation experience
  • Built a complex machine learning or statistical model and deployed/supported it in production
  • Experience with Python (pandas; scikit-learn, statsmodels, or PyTorch; a visualization library that is not matplotlib; a web framework such as flask), SQL (Snowflake), git, Jupyter notebooks
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Browse stack
FocusData ScienceRole area
Seniority signalSeniorCandidate level
StackPython, Snowflake, SQLPrimary skills
Location1 accepted countryEligibility

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