Job Description

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. 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.

About the team

We\'re working on making the global financial system programmable. This
is one of the largest opportunities for impact in the history of
computing, on par with the rise of modern operating systems. It is too
difficult and expensive today for fast growing companies to produce
financials and analyze their businesses. We are laser focused on
building an end-to-end solution for users to understand their
performance and grow their revenue.

What you\'ll do

Responsibilities

• Define and measure key outcome metrics for products that cater to our

users needs.

• Design and analyze experiments to improve the conversion funnel for

product adoption and targeting efficacy.

• Apply statistical methods, causal inference, and machine learning to

inform product decisions and optimize our products and systems.

• Design and develop data sets that enable better understanding of

adoption and engagement.

• Partner closely with product, engineering, finance, and marketing

teams to identify and prioritize the most important data science
projects.

Who you are

We\'re looking for an experienced data scientist to partner with teams to
support the growth of our products and develop new ones. If you are
excited about building new products on Stripe\'s platform, live and
breathe data-driven product development, and are energized by designing
strategic metrics and causal analyses, then we want to hear from you.

Minimum requirements

• 6+ years of data science/quantitative modeling experience.

• A PhD or MS in a quantitative field (e.g., Statistics, Quantitative

Finance, Economics, Sciences, Engineering) or equivalent experience.

• Expert knowledge of a scientific computing language (such as R or

Python) and SQL.

• Expertise in statistics and experimental design.

• Prior experience with product and/or go to market data science or

enthusiasm to learn.

• A demonstrated ability to manage and deliver on multiple projects with

a high attention to detail.

• The ability to communicate results clearly and a focus on driving

impact.

Pay and benefits

The annual salary range for this role in the primary location is C$184,900 - C$250,100. This range may change if you are hired in another location. For sales roles, the range provided is the role\'s On Target Earnings (\xe2\x80\x9cOTE\xe2\x80\x9d) range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. This salary range may be inclusive of several career levels at Stripe and will be narrowed during the interview process based on a number of factors, including the candidate\'s experience, qualifications, and specific location. Applicants interested in this role and who are not located in the primary location may request the annual salary range for their location during the interview process.

Specific benefits and details about what compensation is included in the salary range listed above will vary depending on the applicant\'s location and can be discussed in more detail during the interview process. Benefits/additional compensation for this role may include: equity, company bonus or sales commissions/bonuses; retirement plans; health benefits; and wellness stipends.

Office locations

Toronto

Remote locations

Remote in Canada

Team

Data & Data Science

Job type

Full time

Stripe