Data Scientist
AI Summary
The role involves designing and maintaining large-scale systems and APIs while analyzing product requirements to translate them into technical specifications. Additionally, the candidate will mentor early-career engineers and contribute to the development of product strategy and design principles.
Candidates must hold a Master's degree in a quantitative field with 5 years of experience, or a Bachelor's degree with 7 years of experience. Proficiency in SQL, Python or R, and experience in production model deployment and experimental design are required.
Job Details
Benefits
Key Skills
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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About Stripe
Stripe is a leading financial infrastructure platform that enables businesses to accept payments, drive growth, and create new opportunities across the internet.