Data Scientist
Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities.
What this role actually needs.
Data Scientist at Stripe in Remote (United States). UpJobz keeps this listing high-signal for applicants targeting serious high-tech roles across the United States, Canada, and Mexico. Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities.
Day-to-day expectations
A clear list of the work this role is designed to cover.
- 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.
What a strong candidate brings
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- 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;
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Next moves
- Tailor your resume around machine-learning and python instead of sending a generic application.
- Use the first two bullets of your application to connect your background directly to data scientist is a high-signal on-site role in remote (united states), and it is most realistic for united states residents.
- Open the role quickly if it fits and bookmark three similar jobs before you leave the page.
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- Compensation is hidden, so get range clarity in the first recruiter conversation.
- Use united states residents as part of your positioning so the recruiter does not have to infer it.
- Show concrete examples of succeeding in on-site environments.
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