Senior Data Scientist

• 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