CloudWalk is a fintech company reimagining the future of financial services. We are building intelligent infrastructure powered by AI, blockchain, and thoughtful design. Our products serve millions of entrepreneurs across Brazil and the US every day, helping them grow with tools that are fast, fair, and built for how business actually works. Learn more at cloudwalk.io.
About the Role:
We’re hiring a Data Scientist with strong foundations in statistics, causal inference, and experimental design. Your work will be centered on rigorous analysis: designing robust experiments, validating assumptions, and extracting clear insights from complex data. This is not a “dashboards and KPIs” role — it’s about applying statistical thinking and careful modeling to answer hard questions and guide product direction.
We want someone who can think critically with data, separate signal from noise, and provide results that stand up to scrutiny.
What You'll Do:
Design, run, and analyze A/B tests and other experimental frameworks.
Apply statistical inference, hypothesis testing, and causal analysis to evaluate product changes.
Build, tune, and interpret classical ML models (regression, classification, ranking) with a focus on explainability and robustness.
Use rigorous exploratory analysis to uncover hidden patterns or validate product hypotheses.
Develop reproducible workflows for experimentation and modeling.
Collaborate with product and engineering to ensure experiments and analyses translate into well-grounded decisions.
Contribute to a culture of statistical rigor, clarity, and curiosity.
What We Value:
Deep understanding of statistics, probability, and causal inference.
Comfort moving between theory and practice: from modeling assumptions to implementation details.
Clear, precise communication of methods, assumptions, and results.
Patience to validate before scaling, and rigor in separating correlation from causation.
Bonus Points:
Experience with uplift modeling.
Experience in product analytics or growth-focused DS.
Experience working with Airflow, BigQuery, dbt, or similar data infra.
Experience in training and shipping models to production.
Familiarity with basic experimentation pitfalls (SRM, novelty effects, power issues).
Diese Cookies sind für das Funktionieren der Website erforderlich und können in unseren Systemen nicht abgeschaltet werden. Sie können Ihren Browser so einstellen, dass er diese Cookies blockiert, aber dann könnten einige Teile der Website nicht funktionieren.
Sicherheit
Benutzererfahrung
Zielgruppenorientierte Cookies
Diese Cookies werden über unsere Website von unseren Werbepartnern gesetzt. Sie können von diesen Unternehmen verwendet werden, um ein Profil Ihrer Interessen zu erstellen und Ihnen an anderer Stelle relevante Werbung zu zeigen.
Google Analytics
Google Ads
Wir benutzen Cookies
🍪
Unsere Website verwendet Cookies und ähnliche Technologien, um Inhalte zu personalisieren, das Nutzererlebnis zu optimieren und Werbung zu indvidualisieren und auszuwerten. Indem Sie auf Okay klicken oder eine Option in den Cookie-Einstellungen aktivieren, stimmen Sie dem zu.
Die besten Remote-Jobs per E-Mail
Schliess dich über 5'000+ Personen an, die wöchentlich Benachrichtigungen über Remote-Jobs erhalten!