Data Scientist

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🔥 9 minutes ago

🌐 Brazil, Argentina – Remote

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⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Data Scientist

👻 Ghost score 10%

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Logo of Pyyne

Pyyne

51 - 200 employees

Founded 2020

💼 Consulting

📦 Logistics

📣 Marketing

Consulting • Logistics • Marketing

Pyyne is an AI-native software firm that accelerates building and operating mission-critical software at scale. They provide end-to-end services including software engineering, cloud/DevOps and security, data and AI (including agentic workflows), and strategy/advisory (including interim CTO roles). With around 20 years of engineering experience and offices across New York, San Francisco, São Paulo, and Stockholm, Pyyne partners with enterprises to design, build, and operate scalable, secure, and AI-driven systems.

📋 Description

• Answer insightful analysis questions from stakeholders across the Product organization • Ramp up on how different parts of the product and data model function to pull accurate results • Partner with Product Managers and Engineers to design key metrics for initiatives • Act as the statistics expert alongside Product Managers to ensure effective experiment design • Explain concepts such as statistical power and sample size intuitively • Analyze experiment results for statistical significance while accounting for common pitfalls and p-hacking • Ramp up on a particular product area and answer ad hoc insight questions • Design, launch, and analyze an experiment with mentorship from another Product Data Scientist • Provide feedback on team processes and propose iterations or new processes • Collaborate closely with stakeholders across data and business teams

🎯 Requirements

• 3 - 5 years of experience as a data scientist, in a product-focused environment • Strong proficiency in SQL and a solid understanding of data modeling concepts • Proficiency with Python, ideally data analysis/science packages like Pandas and Stats • Good “Data storytelling” and stakeholder communication: can explain technical concepts in an intuitive way • Detail-oriented: can sense-check your output and correct errors before sharing results with stakeholders • A good product-sense and familiarity with fundamental “product” metrics (like DAU, retention, etc) • General understanding of machine learning, and how to make and evaluation models • Fluent English; high level of spoken English and proficiency with reading and writing professional English • Candidates must work remotely from Brazil or be located in the Buenos Aires metro area in Argentina

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