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    data scientistdata scientist - Toronto, ON, Canada - Stripe

    Stripe
    Stripe Toronto, ON, Canada

    1 week ago

    Default job background
    Full time $175,000 - $262,600
    Description

    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 Data Science team partners deeply with teams across Stripe to ensure that our users, our products, and our business have the models, data products, and insights needed to make decisions and grow responsibly.

    We're looking for data scientists with a passion for analyzing data, building machine learning and statistical models, and running experiments to drive impact.

    Our work is broad and varied, influencing how our products work (e.g.

    understanding user needs, preventing fraud, or optimizing charge flows), how our business works (forecasting key outcomes, managing liquidity, quantifying risk exposure), how our go-to-market motions operate (designing growth experiments, optimizing marketing investments, refining sales processes, and estimating causal effects), and everything in between.

    We have a variety of Data Science roles and teams across Stripe and will seek to align you to the most relevant team based on your background.## We're looking for a variety of Data Scientists to partner with the Product, Finance, Payments, Risk, Growth and Go-to-Market teams.

    You'll work closely with a specific part of the business, playing a crucial role in optimizing our systems and leveraging data to make strategic business decisions.

    As Data Scientists as Stripe, it's our mission to ensure that the company strategy, products, and user interactions make smart use of our rich data, using techniques like machine learning, statistical modeling, causal inference, optimization, experimentation, and all forms of analytics.

    If you meet these requirements, you are encouraged to apply. 2-8+ years of data science/quantitative modeling experience
    ~ Proficiency in SQL and a computing language such as Python or R
    ~ Strong knowledge and hands-on experience in several of the following areas: machine learning, statistics, optimization, product analytics, causal inference, and/or experimentation
    ~ A demonstrated ability to manage and deliver on multiple projects with a high attention to detail
    ~ Solid business acumen and experience in synthesizing complex analyses into actionable recommendations
    ~ Experience deploying models in production and adjusting model thresholds to improve performance

    A PhD or MS in a quantitative field (e.g., This role is available either in an office or a remote location (typically, 35+ miles or 56+ km from a Stripe office).

    Office-assigned Stripes spend at least 50% of the time in a given month in their local office or with users.

    A remote location, in most cases, is defined as being 35 miles (56 kilometers) or more from one of our offices.

    While you would be welcome to come into the office for team/business meetings, on-sites, meet-ups, and events, our expectation is you would regularly work from home rather than a Stripe office.

    Stripe does not cover the cost of relocating to a remote location. The annual salary range for this role in the primary location is C$175,000 - C$262,600.

    For sales roles, the range provided is the role's On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.

    retirement plans;
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