Data Scientist

Stripe Stripe · Fintech · PERM, United States · PERM

Data Scientist at Stripe to apply statistical, time series forecasting and machine learning models on large datasets to predict future performance of users or products. Partner closely with Sales and Data Science teams to identify important questions and answer them with data. Design, implement and launch data science solutions using Python and R to empower data-driven decisions and products at scale. Create analyses that generate insights for business teams. Design, analyze, and interpret the results of experiments. Build ETL data transformation pipelines in SQL.

What you'd actually do

  1. Apply statistical, time series forecasting and machine learning models on large datasets to predict future performance of users or products.
  2. Partner closely with Sales and Data Science teams to identify important questions and answer them with data.
  3. Design, implement and launch data science solutions using Python and R to empower data-driven decisions and products at scale.
  4. Create analyses that generate insights for business teams.
  5. Design, analyze, and interpret the results of experiments.
  6. Build ETL data transformation pipelines in SQL.

Skills

Required

  • Master's degree or foreign equivalent in Computer Science, Business Analytics, Statistics, or a related quantitative field
  • 3 years of experience in a Data Scientist or related occupation
  • 3 years of experience building ETL data transformation pipelines in SQL
  • 3 years of experience working closely with product and business teams to identify important questions and answer them with data
  • 2 years of experience productionalizing and implementing machine learning models
  • 2 years of experience productionalizing and implementing software products
  • 2 years of experience designing, analyzing, and interpreting the results of experiments
  • 2 years of experience designing, and analyzing software architectures
  • 2 years of experience designing, implementing, and launching data science solutions
  • 2 years of experience designing, implementing, and launching software solutions
  • 2 years of experience applying statistical and machine learning models on large datasets to predict future performance of users or products
  • Python
  • R
  • SQL

What the JD emphasized

  • productionalizing and implementing machine learning models
  • productionalizing and implementing software products
  • designing, analyzing, and interpreting the results of experiments
  • designing, and analyzing software architectures
  • designing, implementing, and launching data science solutions
  • designing, implementing, and launching software solutions
  • applying statistical and machine learning models on large datasets to predict future performance of users or products