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Stripe
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Data Scientist

StripeSeattle, WA
On-siteData and AImid$193,232 - $288,000
Source checked 4 hours ago. · Posted 5 days ago.
Checked today

Role details

Who we are

About Stripe

  • Stripe, LLC. 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.

What you'll do

Responsibilities

  • Scope, design, build, and maintain APIs, services, and large-scale systems that reliably and efficiently handle billions of money movement requests;
  • Design the next generation of Stripe products to meet the high growth needs of our company and customers;
  • Analyze product requirements, user needs and feedback and translate them into technical specifications and determine the feasibility of design, taking into account cost and time constraints;
  • Review API launches and library shapes for other teams to ensure that backwards and forward compatibility, coherent patterns, and extensibility meet our quality standards;
  • Act as the team's representative during technical meetings and understand how their systems interact with the broader landscape within the company;
  • Mentor early-career engineers to help them grow and spin up into independent engineers; and
  • Construct core engineering tenets and design principles for their team's projects.

Who you are

Minimum requirements

Master's degree or foreign equivalent in Statistics, Data Analytics, Engineering or a related field, plus 5 years of related work experience in data science or quantitative modeling.

In the alternative, the employer will accept a Bachelor's degree or foreign equivalent in Statistics, Data Analytics, Engineering or a related field, plus 7 years of related work experience in data science or quantitative modeling, of which at least 5 years must be post-bachelor's progressive related work experience.

Must also have 4 years' experience in each of the following:

  • SQL;
  • Programming languages including Python or R;
  • Developing models and tuning thresholds to drive business outcomes and deployment of the same model in production;
  • Translating complex data analysis into actionable business outcomes;
  • Writing or contributing to product strategy, roadmap, or technical design documents;

Must have 3 years of experience in:

  • Designing and analyzing production experiments to drive strategic and technical outcomes.
Salary$193,232 - 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. WA53

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