Senior Data Scientist

Description

**Employment Type:** CLT \| 100% Remote **Requirements:** * Bachelor's degree in Engineering, Statistics, Mathematics, Computer Science, or related fields; * Solid experience in Data Science; * Experience with **Python, SQL, and PySpark**; * Experience with **Git** and version control; * Analytical thinking and ability to solve complex data-related problems; * Strong communication skills and ability to collaborate effectively in a team. **Preferred Qualifications:** * Experience in retail environments, especially inventory, reservation, blocking, availability, and e-commerce integration processes; * Knowledge of Oracle Retail, RMS, or legacy back-office systems; * Experience with large-scale data in MongoDB; * Hands-on experience with AWS, OpenShift, Docker, or Kubernetes; * Knowledge of event-driven architecture; * Experience with batch processing, workers, message queues, and message reprocessing; * Familiarity with monitoring tools such as Datadog, Dynatrace, or CloudWatch; * Experience with agile methodologies; * Hands-on experience with AWS services such as Glue, S3, SageMaker, and Lambda; * Experience with optimization problems. **Key Responsibilities:** * Design and implement data validation and model evaluation pipelines in an AWS environment; * Integrate data and metrics into automated, auditable workflows; * Modularize pipelines to support reuse, testing, and maintenance; * Collaborate closely with Data Science, Data Engineering, and Product teams; * Ensure best practices for versioning, logging, monitoring, and automated testing; * Propose continuous improvements to data architecture and validation processes.