Pessoa Cientista de Dados Sênior

Zup Innovation

WorldwideFully remoteFull TimeSeniorInformation Technology
Posted 6h ago

Why we think you can apply

Hiring model
Open worldwide · the employer states no country restriction
Work from
Anywhere, the UAE included

Posted 6 hours ago · apply link checked 5 hours ago

About the role

Responsibilities

  • Develop machine learning and AI models for behavioral analysis of digital events
  • Design and validate A/B experiments and causal inference studies
  • Build robust data pipelines ensuring data quality and governance
  • Scale ML solutions in distributed environments using Spark and AWS (S3, Glue, EMR)
  • Implement tracking and measurement with Snowplow and Google Analytics
  • Translate technical results into strategic business actions

Requirements

  • Advanced Python with PyTorch, TensorFlow and ML libraries
  • Solid experience with Spark for large-scale distributed processing
  • Advanced SQL
  • Practical experience with AWS data services (Glue, EMR, S3)
  • Infrastructure as code (Terraform) and CI/CD practices
  • Knowledge of recommendation systems, generative models and causal inference/experimentation

Preferred Qualifications

  • Pandas and Scikit-learn experience
  • Applied statistics and A/B testing
  • Deep learning or advanced predictive modeling
  • FinOps and cloud cost optimization
  • Bayesian analysis or causal inference techniques
  • Automated data governance at scale

Benefits

  • Work from anywhere, flexible hours
  • Education allowance and internal career development tools
  • Health plan, dental plan, telemedicine, free online therapy
  • Meal and food allowance, life insurance, transportation allowance
  • Home office allowance, daycare allowance, profit sharing

About the Company

  • Zup Innovation builds technologies that challenge the best in the world and change the game for its clients.

What we look for

  • Advanced Python with PyTorch, TensorFlow and ML libraries
  • Solid experience with Spark for large-scale distributed processing
  • Advanced SQL
  • Practical experience with AWS data services (Glue, EMR, S3)
  • Infrastructure as code (Terraform) and CI/CD practices
  • Knowledge of recommendation systems, generative models and causal inference/experimentation
  • Pandas and Scikit-learn experience
  • Applied statistics and A/B testing
  • Deep learning or advanced predictive modeling
  • FinOps and cloud cost optimization
  • Bayesian analysis or causal inference techniques
  • Automated data governance at scale
PythonAWSSQLMachine LearningCI/CDTerraformSparkGitGoogle AnalyticsPyTorchTensorFlowA/B TestingDeep LearningSnowplow
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