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Urgent! Senior Data Scientist Job Opening In Penang Malaysia – Now Hiring ENOVIX Corporation

Senior Data Scientist



Job description

Join to apply for the Senior Data Scientist role at ENOVIX Corporation

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Join to apply for the Senior Data Scientist role at ENOVIX Corporation

We are seeking a Senior Data Scientist to lead high-impact, data-driven initiatives in battery technology and advanced manufacturing optimization.

This role is ideal for a seasoned professional with a strong background in manufacturing data science, Azure Machine Learning, and scalable model deployment.

You will play a strategic role in shaping our data science roadmap, mentoring junior team members, and collaborating cross-functionally to drive measurable improvements in product performance, yield, and operational efficiency.
Key Responsibilities

  • Lead end-to-end data science projects: from problem framing and data exploration to model development, evaluation, deployment, and monitoring.

  • Design and implement predictive models, classification systems, clustering techniques, and anomaly detection algorithms to optimize battery materials and manufacturing processes.

  • Partner with domain experts across engineering, R&D, manufacturing, HR, and finance to identify and prioritize high-impact use cases.

  • Collaborate with Data Engineers to ensure scalable, maintainable data pipelines and AI workflows.

  • Architect and deploy RESTful APIs and cloud-based ML solutions using Azure Machine Learning.

  • Develop and maintain interactive dashboards and tools using Power BI, Python, and Azure analytics to deliver actionable insights.

  • Mentor junior data scientists and analysts, fostering a data-driven culture and supporting team development.

  • Support the build-out of the company’s AI strategy, including Agentic and Algorithmic AI frameworks.

  • Ensure model governance, explainability, and compliance with standards such as SOC 2 and ISO.

  • Track and report on key performance indicators (KPIs) such as yield improvement, cost savings, and predictive accuracy.

  • Promote best practices in MLOps, including version control, testing, documentation, and monitoring.

  • Stay current with emerging AI/ML trends and technologies relevant to manufacturing and battery innovation.
Required Qualifications
  • Master’s or Ph.D. in Computer Science, Statistics, Data Science, Applied Mathematics, Engineering, or a related field.

  • 6+ years of hands-on experience in data science, machine learning, or AI roles, with a strong focus on manufacturing or industrial applications.

  • Proficiency in Python (including NumPy, pandas, scikit-learn, XGBoost, PyTorch/TensorFlow) and SQL.

  • Experience with cloud-based analytics platforms such as Azure ML, Databricks, or Microsoft Fabric.

  • Strong grasp of statistical modeling, time-series forecasting, classification, regression, and optimization techniques.

  • Familiarity with MLOps practices and tools, including CI/CD for ML models.

  • Ability to translate business problems into technical solutions and communicate effectively with non-technical stakeholders.

  • Experience with RESTful APIs, software development lifecycle (SDLC), and Agile methodologies (Scrum/Kanban).

  • Bonus: Experience with Azure Cognitive Services, NLP, computer vision, or predictive maintenance in manufacturing.

Seniority level

  • Seniority level

    Mid-Senior level

Employment type

  • Employment type

    Full-time

Job function

  • Job function

    Engineering and Information Technology
  • Industries

    Appliances, Electrical, and Electronics Manufacturing

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