Senior Data Scientist – Machine Learning

This is a fully remote position, open to applicants in Brazil.

📋 Description

• Design and modify models developed by the team, including those based on causal inference, to suit various business scenarios.

• Strategize, implement, and analyze A/B tests.

• Revise or retrain models in response to experimental findings and new data.

• Validate models from the prototype phase to production deployment utilizing Databricks and Azure.

• Consistently track the performance of models that have been deployed.

• Identify changes in data patterns (data drift).

• Establish triggers for model retraining.

• Set up alerts for instances of performance decline.

• Work in collaboration with the Senior Data Engineer, Analytics Engineer, and Data Scientist who specializes in causal inference.

• Convert the team's outputs into business-relevant models that are deployed and monitored in a production environment.

⛳️ Requirements

• A minimum of 6 years of practical experience in data science and Machine Learning within production settings.

• Demonstrated expertise in building, deploying, and overseeing statistical and Machine Learning models in a live environment.

• In-depth knowledge of A/B testing methodologies and experimental design.

• Hands-on experience with causal models and causal Machine Learning, allowing for understanding, adaptation, and development of models based on causal inference.

• Familiarity with Databricks, PySpark, Python, and Azure.

• A robust quantitative background in Mathematics, Statistics, Computer Science, or related disciplines.

• Proficiency in English.

• Capability to adjust models for various business contexts and articulate the implications of technical decisions to non-technical stakeholders.

🏝️ Benefits

• Contractor engagement (PJ).

• A master’s or doctoral degree is advantageous but not mandatory for this applied role.