Remote Senior Data Scientist

Summary

Join our dynamic team as a Senior Data Scientist to leverage data and drive business insights. You will work remotely from anywhere in Latin America, analyzing and modeling data to advance AI and machine learning capabilities.

Requirements

• Python: Essential for data analysis, machine learning, automation scripts, and statistical analysis
• Proficiency in Python libraries such as Pandas, NumPy, Scikit-Learn, and TensorFlow
• R: Useful for statistical analysis and data visualization
• Proficiency in R packages like ggplot2 and dplyr
• Adobe Analytics: Integral for tracking and analyzing marketing and web traffic data
• Understanding of Adobe Experience Cloud, reporting, and insights generation
• Amazon Web Services (AWS): Cloud infrastructure for data storage, processing, and various other computing needs
• Proficiency in services such as S3 (for storage), EC2 (for computing), Lambda (serverless functions), Redshift (data warehousing), and AWS Glue (data catalog and ETL)
• Snowflake: Data warehouse solution utilized for storing and querying large datasets
• Leveraging Snowflake for efficient querying, data storage management, and integration with other tools
• Machine Learning: Essential for predictive analytics, data modeling, and AI integration
• Proficiency in tools such as SciKit-Learn, TensorFlow, PyTorch, and understanding of ML lifecycle management with tools like MLflow and Kubeflow
• Automation and AI Integration: Invest in automating routine tasks using AI and machine learning to yield better productivity and insights
• Data Governance and Security: Implement a robust framework using tools like Apache Ranger and AWS IAM for data security and governance

Responsibilities

• Work closely with cross-functional teams to analyze, process, and model data
• Create actionable insights using various tools and technologies
• Advance AI and machine learning capabilities

Benefits

• A stable, long-term contract
• Continuous Training
• Private Health insurance stipend
• Flexible schedule