
51 - 200 employees
Founded 2020
đŒ Consulting
đŁ Marketing
đ€ Artificial Intelligence
Consulting âą Marketing âą Artificial Intelligence
Pyyne is an AI-native software firm that accelerates building and operating mission-critical software at scale. They provide end-to-end engineering services including software engineering, cloud/DevOps and security, data/AI and agent development, and strategic advisory or interim CTO support. With ~20 years of engineering experience and global offices, Pyyne partners with enterprise and fast-growing B2B companies to design, build, and operate resilient, scalable systems and AI-driven workflows.
đ October 9
Where this job comes from
Posted on Pyyne's careers page, not through a job board
First seen by Remote Rocketship October 9
Still open on Pyyne's site. Checked 4 hours ago.

51 - 200 employees
Founded 2020
đŒ Consulting
đŁ Marketing
đ€ Artificial Intelligence
Consulting âą Marketing âą Artificial Intelligence
Pyyne is an AI-native software firm that accelerates building and operating mission-critical software at scale. They provide end-to-end engineering services including software engineering, cloud/DevOps and security, data/AI and agent development, and strategic advisory or interim CTO support. With ~20 years of engineering experience and global offices, Pyyne partners with enterprise and fast-growing B2B companies to design, build, and operate resilient, scalable systems and AI-driven workflows.
âą Translate stakeholder business questions into well-defined analytical problems and explain findings and trade-offs to technical and non-technical audiences âą Explore, clean, and validate data from multiple sources; build reliable datasets and features for analysis and modeling âą Design, train, and evaluate statistical and machine learning models âą Design and analyze experiments such as A/B tests and define metrics measuring business impact âą Work with client data and engineering teams to move models and analyses into production and monitor them over time âą Write clean, tested, reproducible code and document assumptions, methods, and results âą Collaborate with team members to keep progress visible and raise risks early âą 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
âą 4+ years of professional experience as a Data Scientist or in a comparable applied machine learning or advanced analytics role âą Strong Python (pandas, scikit-learn, or equivalent) and SQL âą Solid foundation in statistics and machine learning, including model selection, validation, and experiment design âą Track record of taking analyses or models from exploration to something stakeholders actually use, and explaining results to non-technical audiences âą Advanced English, spoken and written, for daily collaboration with client stakeholders âą Experience in e-commerce, retail, or manufacturing use cases such as demand forecasting, pricing, or customer analytics âą Experience deploying and monitoring models in production (MLOps) on a cloud platform such as AWS, GCP, or Azure âą Familiarity with modern data stack tools such as dbt, Snowflake, BigQuery, or Databricks âą Experience with BI and visualization tools such as Tableau, Looker, or Power BI âą Prior experience in a consulting or client-facing environment âą Candidates must work remotely from Brazil or in the Buenos Aires metro area in Argentina âą Fluent English is non-negotiable
âą Flexible remote working environment âą Career development opportunities in a fast-growing company
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