Industrial Data Science Lead

7 days ago

Singapore beBeeDataScience Full time $100,000 - $150,000
Job Title

Industrial Data Science Expert

Description

We are seeking a highly skilled and experienced Industrial Data Science Expert to join our team. As an Industrial Data Science Expert, you will be responsible for leading data science projects from planning to deployment, working closely with cross-functional teams to ensure alignment and synergy.

  • Key Responsibilities:
  • Develop comprehensive project plans, defining scope, objectives, deliverables, timelines, resource allocation, and budget estimates for industrial data science projects.
  • Collaborate with stakeholders to understand business needs, operational challenges, and opportunities for leveraging data science to drive value.
  • Work with data engineers and domain experts to identify relevant data sources, extract, clean, and preprocess data for analysis and modeling.
  • Lead data exploration, statistical analysis, and machine learning model development to uncover insights, patterns, and trends in industrial data.
  • Oversee the deployment of data science models into production environments, ensuring scalability, reliability, and integration with existing systems.
  • Establish key performance indicators (KPIs) and monitoring mechanisms to track the performance and effectiveness of deployed models over time.
  • Cross-Functional Collaboration: Coordinate with cross-functional teams to ensure alignment and synergy in project execution.
  • Risk Management: Identify and mitigate potential risks and challenges associated with data science projects.
  • 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.
Requirements
  • Bachelor's degree in computer science, data science, industrial engineering, or a related field.
  • Proven experience in project management, specifically in leading data science or analytics projects in industrial settings.
  • Strong technical proficiency in data science tools and techniques, including architecting, statistical analysis, machine learning, predictive modeling, and data visualization.
  • 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.
Working Arrangements
  • Monday - Friday work schedule.
  • Company transport provided from designated MRT stations.

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