Senior Data Scientist

Role Overview

• Develop, train and validate machine learning models applied to real business problems.
• Work with large volumes of data stored in the corporate Data Lake on AWS.
• Use the Databricks platform ecosystem for experimentation, training and productionalization of models.
• Build data pipelines and model training pipelines.
• Use Databricks AutoML features to accelerate experimentation and model generation.
• Perform feature engineering and data preparation for analytical models.
• Implement and maintain model deployment and scoring routines for machine learning in production.
• Monitor model performance, assessing potential degradations and the need for re-training.
• Collaborate with data engineering, BI and data product teams to turn data into scalable analytical solutions.
• Support the evolution of the company's intelligence platform by contributing data science and machine learning best practices.

Requirements

• Experience with Databricks.
• Experience developing supervised and unsupervised machine learning models.
• Knowledge of Databricks AutoML.
• Experience deploying machine learning models to production.
• Knowledge of model scoring and inference pipelines.
• Experience with feature engineering and data preparation for analytical models.
• Proficiency in Python for data science.
• Experience with libraries such as:
• scikit-learn
• XGBoost
• LightGBM
• Experience working with data in Data Lake and Big Data environments.
• Experience with MLflow.
• Experience with monitoring and governance of machine learning models.
• Experience in recommendation, segmentation or propensity modeling projects.
• Experience with data environments on AWS.
• Experience in advanced analytics projects and data product development.

Tech Stack

• AWS
• Python
• Scikit-Learn

Benefits

• Flex Office – 2 days remote (home office) and 3 days on-site.
• Birthday day off – your special day, the way you prefer!
• Flexible working hours – more autonomy to organize your schedule.
• Health and dental plan (SulAmérica).
• Life insurance (SulAmérica).
• Psychological support – access to a platform with psychologists.
• On-site massage – a moment of relaxation during your day.
• Relaxation/break room – to recharge your energy.
• TotalPass – access to gyms and physical activities.
• Flexible meal or food allowance – BRL 41.91 per day.
• Childcare assistance – for children up to 5 years old.
• Transportation benefit (VT), parking or company shuttle – guaranteed mobility.
• QultureRocks – performance management and development platform.
• Education assistance – after 12 months with the company, we invest in your learning.
• Inspiring and disruptive culture – a dynamic, collaborative and innovative environment.
• Newborn kit – a special gift for new parents.
• Internal events and engagement activities – team gatherings and moments of relaxation.
• Exclusive benefits on special dates – because every special moment deserves to be celebrated!