Job Url: https://www.remoterocketship.com/company/thewaltdisneycompany-2/jobs/senior-data-scientist-ml-united-states Job Description: The Walt Disney Company Website LinkedIn All Job Openings The Walt Disney Company is a multinational mass media and entertainment conglomerate known for its film studios, theme parks, and television networks. It has a rich tradition of storytelling through its characters and experiences, engaging audiences globally via various platforms and devices. Disney also emphasizes privacy, providing transparency into its privacy practices, data collection, and data sharing policies. The company caters to diverse audiences, including children, ensuring adherence to privacy protection laws across various regions. Entertainment β€’ Technology β€’ Media β€’ Movies β€’ Television 10,000+ employees Founded 1923 πŸ“± Media πŸ’° Post-IPO Debt on 2020-04 Senior Data Scientist - ML 6 days ago πŸ‡ΊπŸ‡Έ United States – Remote πŸ’΅ $132.2k - $177.3k / year ⏰ Full Time 🟠 Senior πŸ“Š Data Scientist πŸ¦… H1B Visa Sponsor Apply Now Receive Emails with Similar Jobs Report problem πŸ“‹ Description β€’ Design and implement robust, end-to-end machine learning pipelines that drive real-world impact. β€’ Collaborate closely with data scientists and ML engineers to optimize model performance and streamline training workflows. β€’ Deploy and monitor models in production using MLOps tools such as Airflow, Kubeflow, Docker, Kubernetes, and leading cloud platforms. β€’ Analyze system performance and troubleshoot deployment issues to ensure seamless model operation in production environments. β€’ Partner with IT and DevOps teams to integrate ML solutions into existing infrastructure with minimal disruption. β€’ Continuously monitor model health and performance, ensuring alignment with business benchmarks and SLAs. β€’ Manage compute and storage resources efficiently to support scalable model training and inference. β€’ Implement automated testing frameworks to validate model accuracy, reliability, and readiness for deployment. β€’ Mentor team members on MLOps tools and best practices, fostering a culture of collaboration and continuous improvement. β€’ Stay current with the latest advancements in data science, machine learning, and MLOps and apply them to solve complex challenges with innovation and agility. 🎯 Requirements β€’ Minimum of 5 years of experience with data analytics and modeling using TensorFlow or PyTorch. β€’ Minimum of 3 years of hands-on experience deploying ML models into production environments. β€’ Proven experience with cloud-based ML platforms (e.g., AWS SageMaker, GCP Vertex AI, Databricks). β€’ Strong understanding of the model development lifecycle and MLOps practices. β€’ Proficiency in Python and deep learning algorithms (e.g., autoencoders, transducers). β€’ Experience with version control systems such as GitHub or GitLab. β€’ Familiarity with data visualization and monitoring tools (e.g., Splunk, Plotly, Tableau). β€’ Ability to communicate complex technical concepts in a clear and accessible manner. β€’ Experience using Atlassian tools like Jira and Confluence. πŸ–οΈ Benefits β€’ A bonus and/or long-term incentive units may be provided as part of the compensation package. β€’ Full range of medical, financial, and/or other benefits dependent on the level and position offered. Apply Now