
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.
🔥 18 hours ago
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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.
• Translate stakeholder business questions into well-defined analytical problems and explain findings and trade-offs to technical and non-technical audiences • Explore, clean, and validate data from multiple sources; build reliable datasets and features for analysis and modeling • Design, train, and evaluate statistical and machine learning models • Design and analyze experiments such as A/B tests and define metrics measuring business impact • Work with client data and engineering teams to move models and analyses into production and monitor them over time • Write clean, tested, reproducible code and document assumptions, methods, and results • Collaborate with team members to keep progress visible and raise risks early • Partner with a Pyyne Project Manager and the client's head of data on a new engagement with a large US-based e-commerce retailer
• 4+ years of professional experience as a Data Scientist or in a comparable applied machine learning or advanced analytics role • Strong Python (pandas, scikit-learn, or equivalent) and SQL • Solid foundation in statistics and machine learning, including model selection, validation, and experiment design • Track record of taking analyses or models from exploration to something stakeholders actually use, and explaining results to non-technical audiences • Advanced English, spoken and written, for daily collaboration with client stakeholders • Experience in e-commerce, retail, or manufacturing use cases such as demand forecasting, pricing, or customer analytics • Experience deploying and monitoring models in production (MLOps) on a cloud platform such as AWS, GCP, or Azure • Familiarity with modern data stack tools such as dbt, Snowflake, BigQuery, or Databricks • Experience with BI and visualization tools such as Tableau, Looker, or Power BI • Prior experience in a consulting or client-facing environment • Candidates must work remotely from Brazil or in the Buenos Aires metro area in Argentina • Fluent English is non-negotiable
• Flexible remote working environment • Career development opportunities in a fast-growing company
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