Position Summary:
- Thales Avionics (AVS) in Singapore consists of manufacturing and repair activities for aircraft OEM and airlines respectively.
- This position is responsible for leading data-driven projects aimed at optimizing industrial processes, improving efficiency, and driving innovation.
Responsibilities:
- Project Planning: Develop comprehensive project plans, defining scope, objectives, deliverables, timelines, resource allocation, and budget estimates for industrial data science projects.
- Stakeholder Engagement: Collaborate with stakeholders to understand business needs, operational challenges, and opportunities for leveraging data science to drive value.
- Data Acquisition and Preparation: Work with data engineers and domain experts to identify relevant data sources, extract, clean, and preprocess data for analysis and modeling.
- Data Analysis and Modeling: Lead data exploration, statistical analysis, and machine learning model development to uncover insights, patterns, and trends in industrial data.
- Model Deployment: Oversee the deployment of data science models into production environments, ensuring scalability, reliability, and integration with existing systems. Deploy standards defined and contribute to their improvements.
- Performance Monitoring: Establish key performance indicators (KPIs) and monitoring mechanisms to track the performance and effectiveness of deployed models over time with business value generated.
- Cross-Functional Collaboration: Coordinate with cross-functional teams, including data scientists, engineers, IT specialists, and business analysts, to ensure alignment and synergy in project execution.
- Risk Management: Identify and mitigate potential risks and challenges associated with data science projects, such as data quality issues, algorithmic bias, and model interpretability.
- Quality Assurance: Implement quality control measures and validation procedures to ensure the accuracy, robustness, and reliability of data science solutions.
- Documentation and Reporting: Maintain detailed documentation of project activities, methodologies, findings, and outcomes, and provide regular progress updates and reports to stakeholders.
- Business Value Delivery: Define, measure and keep track of business value deliverables link to the project ROI
Requirements:
- Bachelor's degree in computer science, data science, industrial engineering, or a related field; advanced degree or relevant certifications preferred.
- Min. 5 years proven experience in project management, specifically in leading data science or analytics projects in industrial settings.
- Experiences on requirement gathering, scoping, data mapping and data driven improvement, digital transformation projects to deliver business objectives are plus
- Strong technical proficiency in data science tools and techniques, including architecting, statistical analysis, machine learning, predictive modeling, and data visualization.
- Experience with industrial data sources, such as sensor data, time-series data, SCADA systems, and IoT devices.
- Excellent leadership, communication, and stakeholder management skills, with the ability to engage and influence both internal and external stakeholders at all levels of the organization.
- Proficiency in project management methodologies and tools
- Knowledge of industrial processes, manufacturing operations, and relevant industry standards and regulations.
- Familiarity with data governance, privacy, and security best practices in industrial environments.
- Experience with process optimization, continuous improvement, and lean manufacturing principles is a plus
- Experience with architecting, IS/IT projects or vendors management is a plus
- Strong disposition toward continuous learning, self-starter and passionate on data science to create business value
Other information:
- Working Location: Changi
- Working Hours: Monday - Friday, 9am - 6pm
- Company shuttle bus is provided at designated MRT stations
