Data Scientist

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. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career.

• 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

Must have a Master's degree or foreign equivalent in Computer Science, Business Analytics, Statistics, or a related quantitative field, plus 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

Salary : $192,000 - $288,000/yr.

This salary range represents the base salary range for the role and any sales commissions/sales bonuses targets, if applicable, would be in addition to the base salary.

40 hrs/week

50% Telecommuting Permitted.

Multiple Positions Available.

Additional benefits for this role may include: equity, company bonus or sales commissions/bonuses; 401(k) plan; medical, dental, and vision benefits; and wellness stipends. WA04 #LI-D

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