Qureos Mentor

Stripe

Stripe builds programmable financial services that help businesses accept payments, grow revenue, and accelerate new opportunities. Serving millions of companies, from large enterprises to ambitious startups, Stripe is headquartered in San Francisco and Dublin, and aims to increase the GDP of the internet.

<div>
 Who we are
 
 
 
 About Stripe
 
 
 
 Stripe is a financial infrastructure platform for businesses. Millions of companies&mdash;from the world&rsquo;s largest enterprises to the most ambitious startups&mdash;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&rsquo;s reach while doing the most important work of your career.
 
 
 
 About The Team
 
 
 
 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, and 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.
 
 
 What you&rsquo;ll do
 
 
 We&rsquo;re looking for a Data Scientist to partner with our Local Payment Methods (LPM) engineering and product teams. You&rsquo;ll play a key role in understanding, growing, and optimising our LPM business, leveraging data to make strategic business decisions. As Data Scientists at 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.
 
 
 Who you are
 
 
 We&rsquo;re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.
 
 
 
 Minimum Requirements
 
 
 
 <ul>
 <li>
 PhD, MSc or MA with 2 years, or BS or BA with 3 years of data science or quantitative modeling experience
 </li>
 <li>
 Proficiency in SQL and a computing language such as Python or R
 </li>
 <li>
 Experience in working with cross-functional teams to deliver results
 </li>
 <li>
 Ability to communicate results clearly and a focus on driving impact
 </li>
 <li>
 A demonstrated ability to manage and deliver on multiple projects with a high attention to detail
 </li>
 <li>
 Strong business acumen and experience in synthesizing complex analyses into actionable recommendations
 </li>
 <li>
 Proficiency with AI tools to accelerate model development, analysis, and coding
 
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Strong knowledge and hands-on experience in several of the following areas: machine learning, statistics, optimization, product analytics, causal inference, and experimentation
 </li>
 <li>
 Experience deploying models in production and adjusting model thresholds to improve performance
 </li>
 <li>
 Experience designing, running, and analyzing complex experiments or leveraging causal inference designs
 </li>
 <li>
 A builder's mindset with a willingness to question assumptions and conventional wisdom
 </li>
 <li>
 Experience with distributed tools such as Spark, Hadoop, etc.
 </li>
 <li>
 A PhD or MSc in a quantitative field (e.g., Statistics, Engineering, Mathematics, Economics, Quantitative Finance, Sciences, Operations Research)
 
 
 
 </li>
 </ul>
 In-office expectations
 
 
 Office-assigned Stripes in most of our locations are currently expected to spend at least 50% of the time in a given month in their local office or with users. This expectation may vary depending on role, team and location. For example, Stripes in Stripe Delivery Center roles in Mexico City, Mexico, Bengaluru, India, and Dublin, Ireland work 100% from the office. Also, some teams have greater in-office attendance requirements, to appropriately support our users and workflows, which the hiring manager will discuss. This approach helps strike a balance between bringing people together for in-person collaboration and learning from each other, while supporting flexibility when possible.
 
 
 Pay and benefits
 
 
 The annual salary range for this role in the primary location is &euro;77,200 - &euro;115,800. This range may change if you are hired in another location. For sales roles, the range provided is the role&rsquo;s On Target Earnings (&ldquo;OTE&rdquo;) 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&rsquo;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&rsquo;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.
</div>

Data Scientist, Payments

<div>
 Who we are
 
 
 
 About Stripe
 
 
 
 Stripe is a financial infrastructure platform for businesses. Millions of companies&mdash;from the world's largest enterprises to the most ambitious startups&mdash;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
 
 
 
 Data Science at Stripe is a vibrant community where data analysts, data scientists, and engineers learn and grow together. In this role, you'll join the team focused on strengthening Stripe's analytics foundation across the company&mdash;setting the technical direction for how analytical data is modeled, stored, governed, and served at scale. This is an infrastructure and platform role, not a business analytics role. You'll operate as a technical leader who shapes the systems, standards, and practices that every analyst and data consumer at Stripe depends on.
 
 
 What you&rsquo;ll do
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Lead architecture reviews and set analytical standards. Own the strategy, technical architecture, and governance model for platforms that make key business metrics consistent, trustworthy, and easy to query at scale. Define and enforce how analytical data is modeled, stored, and served across the company.
 </li>
 <li>
 Own the hardest cross-cutting analytical problems. Tackle the most complex, multi-team data challenges&mdash;problems that require going arbitrarily deep into unfamiliar domains and coordinating solutions across organizational boundaries.
 </li>
 <li>
 Drive org-wide data quality and consistency. Lead critical data quality initiatives that support executive- and board-level decision-making. Ensure that the metrics and data products used to run the business are reliable, well-defined, and widely adopted.
 </li>
 <li>
 Shape long-term technical vision. Define a multi-year roadmap for analytics infrastructure, including warehouse design, schema standards, metric integration, real-time analytics systems, and performance optimization&mdash;not just executing within these systems, but determining their direction.
 </li>
 <li>
 Raise the technical bar across teams. Uplevel the quality of analytical work through mentorship, architecture reviews, standards setting, and building shared tooling and frameworks that other analysts adopt and depend on.
 </li>
 <li>
 Translate business needs into technical solutions. Partner deeply with leaders across Stripe to identify the highest-priority data problems, then deliver scalable, well-governed solutions with clear adoption plans and measurable impact.
 
 
 
 </li>
 </ul>
 Who you are
 
 
 We&rsquo;re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.
 
 
 
 Minimum Requirements
 
 
 
 <ul>
 <li>
 10+ years of experience in Data Analysis, Analytics Engineering, Business Intelligence Engineering, or Data Science roles&mdash;building data infrastructure, defining metrics, and solving complex analytical problems at scale
 </li>
 <li>
 Deep expertise in SQL, including demonstrated ability to optimize complex queries, debug data pipelines, and work across large, distributed datasets
 </li>
 <li>
 Familiarity with AI-assisted development tools (e.g., Claude Code or equivalent) to accelerate data work, automate repetitive tasks, and improve analytical productivity
 </li>
 <li>
 Proven track record of setting long-term technical vision for analytics platforms&mdash;not just executing within them, but shaping their architecture, governance, and adoption strategy
 </li>
 <li>
 Expertise in warehouse design and metrics infrastructure&mdash;schema design, metric layer integration, performance optimization, and building data products that are consistent and trustworthy at scale
 </li>
 <li>
 Experience leading cross-team or org-wide data initiatives that materially improved data quality, consistency, or accessibility for a broad set of stakeholders
 </li>
 <li>
 Demonstrated ability to raise the technical bar for teams around you&mdash;through mentorship, architecture reviews, standards setting, or building shared tooling that others adopt
 </li>
 <li>
 Strong communication and influence skills&mdash;ability to align senior leaders and cross-functional partners on technical direction, and to communicate complex data problems and recommendations clearly
 </li>
 <li>
 Comfortable operating across organizational boundaries&mdash;proven ability to identify data analytics problems that span multiple teams and drive solutions with technical rigor
 </li>
 <li>
 AI Usage&mdash;proficiency with AI tools to accelerate model development, analysis, and coding
 
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Master's degree in Mathematics, Statistics, Economics, Engineering, Computer Science, or a related technical field (or equivalent experience, 10+ years of demonstrated impact is weighted equally)
 </li>
 <li>
 Experience building or governing a semantic layer or metrics layer (e.g., dbt metrics, Looker LookML, or a custom metrics platform)
 </li>
 <li>
 Experience with distributed data frameworks (Hadoop, Spark) for large-scale data pipeline development and optimization
 </li>
 <li>
 Prior experience at a high-growth internet or software company navigating rapid scale
 
 
 
 </li>
 </ul>
 Hybrid work at Stripe
 
 
 This role is available either in an office or a remote location (35+ miles or 56+ km from a Stripe office).
 
 
 In-office expectations
 
 
 Office-assigned Stripes spend at least 50% of the time in a given month in their local office or with users. This hits a balance between bringing people together for in-person collaboration and learning from each other, while supporting flexibility about how to do this in a way that makes sense for individuals and their teams.
 
 
 Working remotely at Stripe
 
 
 A remote location 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. We encourage you to apply for roles that match the location where you currently live or plan to live.
 
 
 Pay and benefits
 
 
 The annual US base salary range for this role is $179,000 - $268,400. For sales roles, the range provided is the role&rsquo;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. 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&rsquo;s experience, qualifications, and location. Applicants interested in this role and who are not located in the US may request the annual salary range for their location during the interview process.
 
 
 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.
 
 
 Hybrid work at Stripe
 
 
 This role is available either in an office or a remote location (35+ miles or 56+ km from a Stripe office).
 
 
 In-office expectations
 
 
 Office-assigned Stripes spend at least 50% of the time in a given month in their local office or with users. This hits a balance between bringing people together for in-person collaboration and learning from each other, while supporting flexibility about how to do this in a way that makes sense for individuals and their teams.
 
 
 Working remotely at Stripe
 
 
 A remote location 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. We encourage you to apply for roles that match the location where you currently live or plan to live.
</div>

Staff Data Analyst

Join Stripe and explore 2   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

Stripe

About Company

Data Scientist, Payments

Staff Data Analyst