Senior Data Scientist - Vaga afirmativa para pessoas LGBTQIAPN+

Degree in Computer Science, Statistics, Engineering, Economics, or a related quantitative field. Strong communication and interpersonal skills. Demonstrated ability to balance hands-on technical delivery with mentoring and team enablement. Excellent problem-solving skills. Fluent English. Strong skills in Python for data science (pandas, numpy, scikitlearn, pyspark). Experience with a deep learning framework like PyTorch or TensorFlow/Keras (Nice to Have). Hands-on experience with at least one cloud data platform (Google Cloud Platform (GCP), AWS, Azure, Databricks). Familiarity with data warehousing and databases (PostgreSQL, SQL Server, BigQuery, Snowflake). Experience with supervised learning models (xgboost, logistic regression, etc). Experience with unsupervised learning models (clustering algorithms). Experience with at least one MLOPS tool (Databricks, mlflow, AWS Sagemaker, Vertex AI). Experience with Git code versioning workflow and platforms (Github, Azure Devops, Gitlab etc).

Design, develop, and deploy end-to-end machine learning models. Collaborate with data analysts, product managers, and engineering teams. Develop and refine complex data features from large-scale datasets. Champion data quality and integrity. Monitor, analyze, and troubleshoot the performance of deployed models. Provide technical leadership in statistical modeling and machine learning. Document and present complex methodologies and findings. Mentor and coach junior data scientists and analysts.