Sr Data Scientist (APM)

Novelis is one of the world leaders in aluminum recycling and rolling and a leading sustainable aluminum solutions provider. Driven by our purpose of shaping a sustainable world together we work alongside our customers to provide innovative solutions to the aerospace automotive beverage packaging and specialty markets. Headquartered in Atlanta Georgia Novelis has approximately 13000 employees in 32 operating facilities on 4 continents.

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 supportnot 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.

Capability Alignment

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.

Minimum Qualifications

• Bachelors 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.

Preferred Qualifications

• Masters 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

What We Offer:

Novelis benefits say a lot about how we care for each other. Our employees and their families have many different needs. As a result our benefits offer choices on many levels and are high in quality driven by the marketplace and addition to core benefits we provide these unique to the industry benefits:

• Family Growth Programs: Paid parental Leave Adoption Assistance Fertility Treatment Childcare Discount and Nursing Mom Support
• Employee Assistance Programs: free resources available 24/7 to you and your family in the areas of mental health family life and career and financial guidance
• Wellness Programs: incentives for wellness activities wellness spending account programs for building healthy habits virtual physical therapy for joint back and pelvic health health management programs and more.
• Diabetes Management Program
• Pet insurance
• Identity Theft Protection
• PerkSpot Discount Program
• Tuition assistance and career development programs!

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Novelis Global Corporate and North America Headquarters is located in the Buckhead neighborhood of Atlanta GA employing around 700 people. Supporting its 31 operations worldwide Novelis corporate office is home to the executive leadership team and global functions that support the automotive beverage can and high-end specialties value streams. The City of Atlanta provides a diverse and family-friendly place to live with countless museums cultural organizations and educational institutions including the Georgia Aquarium Woodruff Arts Center CNN Center Georgia Tech and Mercedes-Benz the Atlanta area Novelis has strong community partnerships with Atlanta Habitat for Humanity GeorgiaFIRST and Agape Youth and Family Center in addition to many local museums and community groups.

Novelis recognizes its talented and diverse workforce as a key competitive advantage. Novelis provides equal employment opportunities to all employees and terms and conditions of employment at Novelis including recruiting hiring placement promotion termination layoffs recalls transfers leaves of absence compensation and training are without regard to race color religion age sex national origin disability status genetics protected veteran status sexual orientation gender identity or expression or any other characteristic protected by federal provincial or local laws.

We encourage all potential candidates to follow the protocols below and to be diligent when sharing any personal information:
1. Check the job posting is live and valid via our careers page: Careers - Novelis
2. Verify any communication with us by contacting our talent team at Careers - Novelis