Our client, a leading consulting firm, is seeking an experienced Data Scientist to join their team. The ideal candidate will have a strong background in data processing, model evaluation, and deployment, with expertise in collaborating with cross-functional teams. This role will focus on ensuring high-quality data preprocessing, model performance monitoring, and efficient coordination with technical teams to support successful deployments.

• Read input data from the blob storage, process it, and write the output back to the blob.
• Perform data preprocessing and cleansing to ensure data integrity and accuracy.
• Conduct model and code reviews, applying necessary changes if failures occur.
• Collaborate with Technology & Infrastructure (T&I) and DevOps teams to streamline model deployment and ensure system reliability.
• Assist in the creation of new environments for data science workflows.
• Develop and maintain pipeline assets to support model deployment and monitoring.
• Continuously monitor model performance post-deployment, identifying anomalies and optimizing models as needed.
• 5+ years of experience as a Data Scientist or in a similar role.
• Strong proficiency in data preprocessing, data cleansing, and feature engineering.
• Experience with blob storage and working with large-scale data pipelines.
• Expertise in machine learning model review, debugging, and performance tuning.
• Familiarity with DevOps principles, CI/CD pipelines, and environment setup for data science projects.
• Hands-on experience with cloud platforms (e.g., Azure, AWS, or GCP) and related services.
• Strong programming skills in Python, R, or Scala, with experience in relevant data science libraries.
• Ability to monitor and troubleshoot model performance post-deployment, ensuring continuous optimization.
• Excellent problem-solving skills and the ability to collaborate with cross-functional teams.