Senior Data Scientist - Vaga afirmativa para pessoas LGBTQIAPN+ at Artefact

Remote - São Paulo, Brazil

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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.

Requisitos

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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