Senior Data Scientist

• Design, develop, and optimize machine learning models and recommendation systems for real-world business applications.
• Develop recommendation solutions focused on relevance, personalization, and measurable business impact.
• Work with large datasets using Python and SQL to explore data, develop features, train models, and evaluate results.
• Integrate LLM-based capabilities and services into existing or new machine learning solutions when appropriate.
• Apply MLOps practices to support the deployment, monitoring, maintenance, and continuous improvement of machine learning models.
• Take data science solutions from experimentation and prototyping through production.
• Collaborate with Data Scientists, Data Engineers, Software Engineers, and other stakeholders to deliver production-ready solutions.
• Leverage cloud technologies and tools such as Docker and Kubernetes to support scalable machine learning applications.
• Evaluate model performance, identify opportunities for improvement, and communicate technical decisions and trade-offs.
• Contribute to best practices around machine learning development, deployment, reproducibility, and productionization.

Function: Marketing
Experience Level: Mid-Senior Level