Data Scientist
6 days ago
Stripe is a leading financial infrastructure platform that empowers businesses to thrive in the digital economy. With a mission to increase the GDP of the internet, we're driving innovation and growth across the globe.
The RoleWe're seeking a talented Data Scientist to join our team and contribute to the development of cutting-edge data-driven solutions. As a Data Scientist at Stripe, you'll work closely with cross-functional teams to drive business outcomes and make strategic decisions using data.
Responsibilities- Design and develop machine learning models to drive business growth and optimize operations
- Collaborate with product teams to integrate data-driven insights into product development
- Analyze complex data sets to identify trends and opportunities for improvement
- Communicate results and insights to stakeholders through clear and actionable recommendations
- Stay up-to-date with industry trends and advancements in data science and machine learning
- 2-8+ years of experience in data science or quantitative modeling
- Proficiency in SQL and a computing language such as Python or R
- Strong knowledge and hands-on experience in machine learning, statistics, and optimization
- Experience working with cross-functional teams to deliver results
- Ability to communicate complex results clearly and drive impact
- Demonstrated ability to manage and deliver on multiple projects with a high attention to detail
- Experience deploying models in production and adjusting model thresholds to improve performance
- Experience designing, running, and analyzing complex experiments or leveraging causal inference designs
- Experience with distributed tools such as Spark, Hadoop, etc.
- PhD or MS in a quantitative field (e.g., Statistics, Engineering, Mathematics, Economics, Quantitative Finance, Sciences, Operations Research)
At Stripe, we offer a competitive salary range of C$140,000 - C$262,600, depending on location and experience. We also provide equity, company bonus or sales commissions/bonuses, retirement plans, health benefits, and wellness stipends.
We're committed to creating a diverse and inclusive work environment that fosters growth and innovation. If you're passionate about data science and want to make a meaningful impact, we encourage you to apply.
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