Lead predictive modeling initiatives as a Data Scientist focused on machine learning. Manage the full lifecycle of ML models within a dynamic, collaborative team.

In this role, you'll take charge of building and deploying predictive models, enhancing MLOps pipelines, and applying machine learning to solve real-world problems. Working closely with various stakeholders ensures that data insights drive strategic decisions. Your expertise will transform complex data into clear narratives for business partners.

Key Responsibilities: • Own predictive model development from inception to deployment • Establish and refine MLOps processes in Spark • Deploy real-time models for streaming data • Optimize search results using ML techniques • Design statistical experiments for robust insights

Requirements: • Minimum 5 years in data science or ML • Relevant Bachelor's degree in Data Science • Strong understanding of MLOps principles • Proficiency in Python and ML libraries ...