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Data Scientist

3 weeks ago

Toronto, Ontario, Canada Paralucent Inc Full time

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. Key Responsibilities: 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. #J-18808-Ljbffr