LOG IN
SIGN UP
Canary Wharfian - Online Investment Banking & Finance Community.
Sign In
Forgot password?
Don't have an account?
or
Join Canary Wharfian
By signing up, you agree to our Terms & Conditions and Privacy Policy.
or

Data Scientist

ExperiencedNo visa sponsorship
Stripe logo

at Stripe

FinTech

Posted 7 days ago

No clicks

**Senior Data Scientist** at Stripe: Design & maintain high-impact APIs and systems, driving business growth through data-driven insights. Utilize SQL, Python/R, and production model deployment. Mentor early-career engineers and contribute to product strategy. Requires Master's degree + 5 years' experience (or equivalent) in data science, plus 4/3 years in specific data science skills. Full-time, 50% remote. Competitive salary $193,232 - $288,000 + benefits.

Compensation
$193,232 – $288,000 USD

Currency: $ (USD)

City
Not specified
Country
Not specified

Full Job Description

Who we are

About Stripe

Stripe, LLC. is a financial infrastructure platform for businesses. Millions of companies - from the worlds 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 youll 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 teams 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 teams projects.

Who you are

Minimum requirements

Masters 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 Bachelors 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-bachelors 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

#LI-DNI

Data Scientist

Compensation

$193,232 – $288,000 USD

City: Not specified

Country: Not specified

Stripe logo
FinTech

7 days ago

No clicks

at Stripe

ExperiencedNo visa sponsorship

**Senior Data Scientist** at Stripe: Design & maintain high-impact APIs and systems, driving business growth through data-driven insights. Utilize SQL, Python/R, and production model deployment. Mentor early-career engineers and contribute to product strategy. Requires Master's degree + 5 years' experience (or equivalent) in data science, plus 4/3 years in specific data science skills. Full-time, 50% remote. Competitive salary $193,232 - $288,000 + benefits.

Full Job Description

Who we are

About Stripe

Stripe, LLC. is a financial infrastructure platform for businesses. Millions of companies - from the worlds 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 youll 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 teams 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 teams projects.

Who you are

Minimum requirements

Masters 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 Bachelors 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-bachelors 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

#LI-DNI