Industrial Data Science Project Manager

2 weeks ago

Singapore THALES SOLUTIONS ASIA PTE. LTD. Full time
Roles & Responsibilities

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

Tell employers what skills you have

Avionics
Machine Learning
Management Skills
Lean Manufacturing
Scalability
Data Analysis
Modeling
Data Quality
Industrial Design
Manufacturing Operations
Predictive Modeling
Process Optimization
Data Science
Disposition
Manufacturing
Data Visualization

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