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Data Scientist Supply Chain - Job Opportunity at Rockwell Automation

Singapore, Singapore
Full-time
Mid-level
Posted: July 1, 2025
Hybrid
SGD 90,000 - SGD 130,000 per year. This estimate reflects Singapore's competitive market for mid-level data scientists with specialized supply chain expertise, considering the city-state's position as a regional technology hub and the premium for manufacturing domain knowledge.

Benefits

Comprehensive health insurance with in-patient coverage and voluntary top-up plans providing enhanced medical protection beyond basic coverage
Extensive out-patient benefits including clinical consultations, prescribed medications, telemedicine services, preventive health screenings, and dental & vision care
Complete life and accident protection covering death and disability from natural causes, illness, and accidents
Flexible hybrid work arrangements allowing remote work flexibility while maintaining collaborative office presence
Annual health screening programs supporting preventive healthcare and early detection

Key Responsibilities

Lead the development and implementation of cutting-edge AI/ML solutions that drive supply chain optimization and operational excellence across global manufacturing operations
Partner strategically with supply chain subject matter experts to translate complex business requirements into innovative AI/ML solutions that deliver measurable business impact
Drive innovation by staying current with emerging AI and machine learning technologies, evaluating their strategic applications for competitive advantage
Design and execute comprehensive testing and validation frameworks ensuring AI/ML models meet the highest standards of reliability, accuracy, and safety for mission-critical operations
Conduct high-impact proof-of-concept studies and pilot projects that assess and demonstrate the business viability of advanced AI/ML approaches
Consolidate and analyze diverse big data sources to create actionable insights that inform strategic supply chain decisions
Collaborate across cross-functional teams to identify critical business questions and develop data-driven experimental approaches
Support the development and coding of sophisticated software programs and algorithms that scale across enterprise operations

Requirements

Education

Bachelor's, Master's, or Ph.D. in Computer Science, Engineering, Applied Mathematics, or related fields

Experience

Minimum 5 years of relevant experience

Required Skills

Programming skills in Python Familiarity with machine learning frameworks such as TensorFlow or PyTorch Previous experience in an ERP system such as SAP in a manufacturing operational setting Knowledge of data mining techniques and ability to integrate multiple, large datasets in a complex analysis with clear outcomes Experience with Generative AI concepts and techniques Attention to detail and problem-solving skills
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Sauge AI Market Intelligence

Industry Trends

The integration of AI and machine learning in supply chain management is experiencing unprecedented growth, driven by the need for greater visibility, predictive analytics, and autonomous decision-making capabilities. Companies are investing heavily in AI-powered supply chain solutions to address disruptions, optimize inventory management, and enhance demand forecasting accuracy. Manufacturing companies are increasingly adopting digital transformation initiatives that combine IoT, AI, and advanced analytics to create smart factories and intelligent supply chains. This trend is particularly strong in Asia-Pacific markets where Singapore serves as a regional hub for technological innovation. The emphasis on sustainability and ESG compliance in manufacturing is driving demand for data scientists who can develop AI solutions that optimize resource utilization, reduce waste, and improve environmental impact measurement across supply chain operations.

Role Significance

Typically part of a 3-5 person data science team within a larger supply chain organization, working closely with cross-functional teams including supply chain analysts, IT professionals, and business stakeholders.
This is a mid-level individual contributor role with significant technical responsibility and strategic impact. The position requires independent decision-making in AI/ML solution development while collaborating with senior stakeholders across supply chain operations.

Key Projects

Development of predictive maintenance models for manufacturing equipment to reduce downtime and optimize maintenance schedules Implementation of demand forecasting algorithms that integrate multiple data sources to improve inventory optimization Creation of supply chain risk assessment models that identify potential disruptions and recommend mitigation strategies Design of real-time analytics dashboards that provide actionable insights for supply chain decision-makers

Success Factors

Strong technical proficiency in Python and machine learning frameworks combined with the ability to translate complex technical concepts into business value propositions Deep understanding of manufacturing operations and ERP systems, particularly SAP, enabling effective communication with operational stakeholders Experience with generative AI and advanced analytics techniques that can be applied to solve novel supply chain challenges Proven ability to work with large, complex datasets and extract meaningful insights that drive operational improvements Strong collaboration skills to work effectively across cross-functional teams and communicate findings to both technical and non-technical audiences

Market Demand

High demand driven by digital transformation in manufacturing, supply chain disruption recovery needs, and Singapore's strategic position as a regional hub for industrial automation and smart manufacturing initiatives.

Important Skills

Critical Skills

Python programming proficiency is essential as it serves as the primary language for data science workflows, machine learning model development, and integration with existing systems. The ability to write efficient, scalable code directly impacts project success and solution deployment. Experience with TensorFlow or PyTorch frameworks is crucial for developing and deploying sophisticated machine learning models. These frameworks are industry standards for AI/ML development and are essential for implementing advanced algorithms in production environments. SAP ERP system knowledge in manufacturing settings is critical for understanding data sources, business processes, and integration requirements. This domain expertise enables effective communication with stakeholders and ensures AI/ML solutions align with operational realities. Data mining and large dataset integration capabilities are fundamental for extracting insights from complex, multi-source data environments typical in global supply chain operations.

Beneficial Skills

Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform for scalable AI/ML solution deployment Knowledge of supply chain management principles and logistics optimization techniques Familiarity with industrial IoT protocols and edge computing technologies relevant to manufacturing environments Understanding of statistical analysis and experimental design for robust model validation Experience with data visualization tools and techniques for communicating insights to business stakeholders

Unique Aspects

Opportunity to work at the intersection of AI/ML and industrial automation, a rapidly growing field with significant impact on global manufacturing
Access to diverse, complex datasets from global manufacturing operations providing rich opportunities for advanced analytics applications
Exposure to cutting-edge industrial IoT technologies and smart manufacturing systems
Role combines technical depth in data science with domain expertise in supply chain and manufacturing operations
Position offers visibility into global supply chain operations across multiple industries including food, pharmaceuticals, and clean energy

Career Growth

Progression to senior roles typically occurs within 2-3 years with demonstrated impact on business outcomes and technical leadership capabilities.

Potential Next Roles

Senior Data Scientist with expanded scope including team leadership and strategic project ownership Supply Chain Analytics Manager overseeing data science initiatives across multiple business units AI/ML Engineering Lead focusing on productionizing and scaling AI solutions Principal Data Scientist driving innovation and research in advanced analytics applications

Company Overview

Rockwell Automation

Rockwell Automation is a Fortune 500 industrial automation company and one of the world's largest providers of industrial automation, information solutions, and connected services. With over 28,000 employees globally, the company serves customers in more than 100 countries and has established itself as a leader in the Industrial Internet of Things (IIoT) and smart manufacturing technologies.

Market leader in industrial automation with strong competitive positioning in programmable logic controllers, human-machine interfaces, and industrial software solutions. The company is well-positioned to capitalize on Industry 4.0 trends and digital transformation initiatives.
Singapore serves as a critical hub for Rockwell Automation's Asia-Pacific operations, supporting the region's growing manufacturing sector and serving as a center for innovation and technology development in industrial automation.
Engineering-focused culture that emphasizes innovation, problem-solving, and technical excellence. The company promotes collaborative work environments with strong emphasis on professional development and cross-functional teamwork.
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