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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Sr Data Scientist (APM) - **Company:** Novelis Inc. - **Location:** Atlanta, GA, United States (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Data Analysis, Microsoft Azure, Data Cleansing, Information Engineering, Data Governance, Data Security, Decision Support Systems, Python (Programming Language), Machine Learning, Operational Data Store, Operational Databases, Reliability Engineering, Power BI, SQL Databases, Feature Engineering, Core Data, Kubernetes, Information Technology, Data Management, Machine Learning Operations, Software Version Control, Software Library, Docker, Databricks - **Published:** September 8, 2026 - **Apply:** https://arc.dev/remote-jobs/j/redirect/pigmg18ryx ## About the Role * Bachelor's degree in Data Science, Computer Science, Engineering, Statistics, Applied Mathematics, Reliability Engineering, or a related field. * Minimum of 3 years of experience in data science, machine learning, reliability analytics, predictive maintenance, industrial analytics, or related applied analytics work. * Experience developing analytical or predictive models using time-series data, sensor data, equipment telemetry, maintenance records, or manufacturing process data. * Proficiency in Python, SQL, and common data science or machine learning libraries; ability to investigate data quality issues and explain model outputs to technical and non-technical stakeholders. * Strong analytical, communication, and problem-solving skills, with interest in manufacturing, maintenance, reliability, or industrial decision support., * Master's degree or advanced certification in Data Science, Machine Learning, Statistics, Engineering, Reliability, or a related field. * Experience in manufacturing, industrial operations, reliability engineering, maintenance analytics, or asset performance management. * Familiarity with industrial historians, condition monitoring data, edge or cloud analytics environments, Databricks, Power BI, Azure, or production model deployment practices. * Experience translating analytical outputs into maintenance, reliability, or operational actions in partnership with plant stakeholders. * Familiarity with production data science, model deployment, or analytics platform practices, including tools such as Docker, Kubernetes, Azure, Databricks, or similar cloud and containerized deployment environments. Please note that we are unable to provide visa sponsorship for this position. Candidates must be legally authorized to work in the United States without the need for current or future sponsorship ## Description The Senior Data Scientist, (APM), supports the design, development, and deployment of data science and machine learning solutions that improve asset reliability, reduce unplanned downtime, and strengthen maintenance decision-making across Novelis' manufacturing operations. Reporting to the Sr AI Engineer Leader of APM, this role partners with Operations, Reliability, Data Engineering, and AI Governance to translate industrial data into practical, actionable insights. The role develops and supports failure-prediction models, equipment health-monitoring logic, anomaly detection, and remaining-useful-life estimators for human decision support-not autonomous control., This is a hands-on senior data science role with a reliability focus. The Senior Data Scientist helps convert prioritized APM use cases into reliable production solutions by combining statistical analysis, machine learning, time-series modeling, sensor data interpretation, and practical understanding of maintenance and reliability workflows. The role works within the technical direction, roadmap, and architecture established by the Sr AI Engineer Leader of APM while maintaining model quality, operational usability, and trust with plant stakeholders., This role is aligned to the APM delivery team within the Decision Intelligence & AI Enablement pillar and contributes to the following enterprise capabilities: * Industrial Data Science for Predictive Maintenance and Asset Reliability * Failure Prediction, Remaining Useful Life Modeling, and Reliability Analytics * Equipment Health Monitoring, Anomaly Detection, and Alert Quality Improvement * Time-Series Modeling, Sensor Data Analysis, and Operational Context Interpretation * Model Lifecycle Management for Industrial Analytics and Production Data Science * Responsible AI Compliance in Operational Environments, aligned to AI Governance standards Responsibilities Data Science Development & Reliability Analytics * Develop and deliver data science components of predictive maintenance and asset-reliability systems, including data preparation, feature engineering, exploratory analysis, model development, deployment support, and monitoring workflows. * Build, validate, and improve production-grade failure prediction models, equipment health scores, remaining-useful-life estimators, and anomaly detection methods that produce useful recommendations for maintenance and operations teams. * Apply statistical analysis, machine learning, time-series modeling, and reliability engineering judgment to solve industrial monitoring problems using appropriate evaluation methods and deployment patterns. * Analyze sensor, historian, maintenance, and operational data to identify asset behavior, failure patterns, signal quality issues, model drift, and opportunities to improve alert precision and credibility. * Support model lifecycle management through monitoring, retraining support, documentation, version control, testing, validation, and production troubleshooting. Execution Alignment & Cross-Functional Delivery * Deliver assigned APM work in alignment with Novelis' enterprise data and reliability priorities, including trusted data, operational reliability, metal flow optimization, sustainability goals, and operational efficiency. * Work with reliability, operations, automation, information technology, and data engineering stakeholders to connect analytical findings to practical maintenance decisions and sustainable production use. * Support feature scoping, sprint execution, testing, deployment, user adoption, and continuous improvement activities aligned to the APM delivery roadmap and critical metric framework. Accountability Boundaries This role delivers data science models, analyses, and engineering components within the roadmap, technical architecture, and technology direction owned by the Sr AI Engineer Leader of APM. It supports predictions and recommendations for maintenance and operations teams; people in Operations and Reliability make and complete the maintenance decisions and actions. This role contributes to the APM roadmap, model standards, analytics validation, production monitoring, and stakeholder feedback loops, but does not own enterprise architecture, autonomous closed-loop control, AI governance standards, core data platforms, business target definitions, data governance rules, master data policy, or data access configuration. Where a use case warrants autonomous closed-loop execution rather than human action, this role supports handoff to AI Automation for engineering and runtime ownership. ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Industrializing your Data Science capabilities](https://www.wearedevelopers.com/videos/178-industrializing-your-data-science-capabilities) - [Beyond Dashboards: Fixing Text-to-SQL with Semantic RAG](https://www.wearedevelopers.com/videos/2036-beyond-dashboards-fixing-text-to-sql-with-semantic-rag) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Data Analytics with Microsoft Fabric: End-to-End Use Case with Data Agents](https://www.wearedevelopers.com/videos/1547-data-analytics-with-microsoft-fabric-end-to-end-use-case-with-data-agents) - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story)