Applied Data Scientist
Jerry
full-time
Posted on:
Location Type: Remote
Location: Remote • California • 🇺🇸 United States
Visit company websiteSalary
💰 $80,000 - $110,000 per year
Job Level
Mid-LevelSenior
Tech Stack
NumpyPandasPythonSQL
About the role
- Participate in the full modeling lifecycle, from statistical analysis and experimentation to building, validating, and iterating on machine learning models
- Own the data foundation by preparing, cleaning and transforming raw, complex data into high-quality features for modeling
- Investigate data discrepancies and design automated frameworks to ensure data accuracy
- Collaborate with data engineering and product teams to drive the data strategy
- Create and maintain clear 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
Benefits
- Health, dental, and vision coverage
- Paid time off
- Paid parental leave
- 401(K) plan with employer matching
- Wellness benefits
- Opportunities for equity grants
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
machine learningstatistical analysisdata cleaningdata validationPythonPandasNumPySQLdata visualization
Soft skills
collaborationdocumentation
Certifications
Bachelor's degreePhD