Jerry

Applied Data Scientist

Jerry

full-time

Posted on:

Location Type: Remote

Location: Remote • 🇺🇸 United States

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Salary

💰 $80,000 - $110,000 per year

Job Level

Mid-LevelSenior

Tech Stack

ETLNumpyPandasPythonSQL

About the role

  • Participate in the full modeling lifecycle, from statistical analysis and experimentation to building, validating, and iterating on machine learning models that address critical business challenges
  • Own the data foundation by preparing, cleaning and transforming raw, complex data into high-quality features for modeling
  • Investigate data discrepancies (tracking bugs, ETL errors, definitional issues) and design automated frameworks to ensure data accuracy
  • Act as a strategic liaison, collaborating with data Engineering and product teams to drive the data strategy and definition of our centralized feature store
  • Create and maintain clear, authoritative documentation for data sources, cleaning processes, and variable definitions

Requirements

  • Bachelor’s degree (PhD preferred) in a quantitative field (Statistics, Physics, Mathematics, etc.)
  • Strong proficiency in Python (Pandas/NumPy) and SQL for complex querying and data manipulation
  • Hands-on experience with data cleaning techniques and data validation frameworks
  • Familiarity with data visualization tools to help identify and communicate data issues
Benefits
  • health, dental, and vision coverage
  • paid time off
  • paid parental leave
  • 401(K) plan with employer matching
  • wellness benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
PythonPandasNumPySQLdata cleaning techniquesdata validation frameworksmachine learning modelsstatistical analysisdata transformationdata modeling
Soft skills
collaborationcommunicationstrategic thinkingproblem-solvingdocumentation
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