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Tech Stack
Tools & technologiesPySparkPythonSparkSQL
About the role
Key responsibilities & impact- Implement industry-standard predictive modeling solutions
- Analyze, manipulate, clean, and process large and messy data
- Code original R/Python scripts and develop analytical reports
- Work independently or collaboratively on large data science problems
- Provide technical data science expertise to assist sales teams
- Conduct in-depth research to improve multi-source data quality
Requirements
What you’ll need- Master’s degree or foreign equivalent in Data Science, Mathematics, Statistics, or related quantitative field
- 3 months of experience with analyzing and manipulating large and messy or complex data
- Proficiency in Python, PySpark or Spark, SQL
- knowledge of techniques in machine learning, deep learning, statistical analysis, and data visualization tasks with ggplot2, Matplotlib, and/or Shiny
- Demonstrated knowledge of Git command line or similar GitHub tools
Benefits
Comp & perks- compensation packages consist of salary and equity
- other standard benefits
- flexible workplace policy
- opportunity to work remotely 1-3 days a week
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
PythonRPySparkSparkSQLmachine learningdeep learningstatistical analysisdata visualizationggplot2
Soft Skills
independent workcollaborative worktechnical expertiseresearch skills
Certifications
Master’s degree in Data ScienceMaster’s degree in MathematicsMaster’s degree in Statistics
