At Artefact Brasil, we are looking for a Senior Data Scientist with Python/Pyspark experience to design, build, and maintain scalable data products. The role involves developing end-to-end machine learning models, collaborating across teams, ensuring data quality, monitoring performance, providing technical leadership, documenting findings, and mentoring junior data scientists.
Senior Data Scientist - Vaga afirmativa para pessoas LGBTQIAPN+ na Artefact
Remoto - São Paulo, Brazil
Ver mais vagas na ArtefactRequisitos
Educação
- Bachelor in Computer Science
- Bachelor in Statistics
- Bachelor in Engineering
- Bachelor in Economics
- Related quantitative field
Habilidades
- Python (pandas, numpy, scikit-learn, pyspark)
- Deep learning frameworks (PyTorch, TensorFlow/Keras)
- Cloud Data Platforms (GCP, AWS, Azure, Databricks)
- Data Warehousing & Databases (PostgreSQL, SQL Server, BigQuery, Snowflake)
- Machine Learning models (supervised learning, unsupervised learning)
- MLOps (Databricks, mlflow, AWS SageMaker, Vertex AI)
- Git code versioning (Github, Azure Devops, Gitlab)
- Strong communication
- Interpersonal skills
- Problem solving
- Curiosity
- Collaboration
- Entrepreneurship
- Fluent English
Idiomas
- English
Responsabilidades
- Design, develop, and deploy end-to-end machine learning models, from data acquisition and feature engineering to production monitoring.
- Collaborate with data analysts, product managers, and engineering teams to translate business problems into data science frameworks and ensure impactful outcomes.
- Develop and refine complex data features from large-scale datasets to improve model accuracy and business performance.
- Champion data quality and integrity, defining the requirements for robust datasets needed for advanced analytics and modeling.
- Monitor, analyze, and troubleshoot the performance of deployed models, addressing issues like concept drift, data quality degradation, and performance bottlenecks.
- Provide technical leadership in the application of statistical modeling, machine learning, and advanced analytics to solve complex business problems.
- Document and present complex methodologies, model findings, and strategic recommendations to both technical and non-technical stakeholders.
- Lead by example, championing a culture of scientific rigor, experimentation, and continuous learning within the data science team.
- Mentor and coach junior data scientists and analysts, fostering their growth through code reviews, design discussions, and knowledge sharing.
Tecnologias
Pythonpandasnumpyscikit-learnpysparkPyTorchTensorFlowKerasGoogle Cloud PlatformAWSAzureDatabricksPostgreSQLSQL ServerBigQuerySnowflakexgboostlogistic regressionclusteringDatabricksmlflowAWS SageMakerVertex AIGithubAzure DevopsGitlab
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