Join our team as a seasoned Data Scientist with a strong focus on Artificial Intelligence (AI), Machine Learning (ML), and MLOps. This role is pivotal in constructing efficient predictive models, advancing analytical capabilities, and integrating ML models into production environments. A profound grasp of statistical modeling, predictive analytics, and Python-based data tools is essential.

Experience with contemporary platforms such as Databricks Mosaic AI and Snowflake Cortex is a significant plus, enhancing your ability to drive innovation and deliver impactful solutions in a dynamic setting.

Key duties involve designing, developing, and deploying sophisticated machine learning and AI models to address complex business challenges. You will conduct in-depth statistical analyses and build predictive models to uncover actionable insights.

The role also entails developing and managing comprehensive ML pipelines, from data ingestion and feature engineering to model training, validation, and deployment. Furthermore, you will establish and maintain MLOps frameworks for seamless continuous integration, delivery, monitoring, and model governance, collaborating closely with data engineering teams to ensure scalable data infrastructure.

A strong foundation in statistical modeling, predictive analytics, and Python is required for this position.

Key responsibilities include designing, developing, and deploying AI and ML models, performing advanced statistical analysis, and building predictive models. You will also be responsible for developing end-to-end ML pipelines and MLOps frameworks, along with conducting exploratory data analysis and hypothesis testing. Collaboration with data engineering teams is crucial for ensuring robust data pipelines.