Permanent Full-time Data Science Role

3 days ago

Kuala Lumpur, Kuala Lumpur, Malaysia Ad Terra Consultancy Full time

We are seeking a skilled Data/AI Scientist to join our team at Ad Terra Consultancy. As a key member of our team, you will be responsible for developing and implementing data models, utilizing AI and machine learning algorithms to extract valuable insights from data.

Key Responsibilities:

  • Data Analysis & Modeling:
    • Collect, clean, and preprocess large datasets from various sources (e.g., drilling logs, production data, sensor feeds).
    • Develop, validate, and implement predictive models using Python-based machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch).
  • Algorithm Development:
    • Design advanced ML algorithms for reservoir characterization, production optimization, anomaly detection, and other oil and gas applications.
    • Experiment with feature engineering, hyperparameter tuning, and ensemble methods to improve model performance.
  • Collaboration & Stakeholder Engagement:
    • Work closely with geologists, reservoir engineers, and other stakeholders to understand project requirements and ensure data-driven insights are actionable.
    • Present complex findings in clear, concise terms suitable for both technical and non-technical audiences.
  • Automation & Deployment:
    • Develop and maintain production-ready code for ML solutions.
    • Collaborate with data engineering teams to deploy models in cloud environments (e.g., AWS, Azure, GCP) or on-premises infrastructure.

Requirements and Qualifications:

  • Education:
    • Bachelor's or Master's degree in Data Science, Computer Science, Engineering, Statistics, or a related field.
  • Experience:
    • Minimum of 3 years of relevant work experience in data science or applied machine learning roles.
  • Technical Proficiency:
    • Programming:
      • Expert-level Python skills (Pandas, NumPy, scikit-learn).
    • ML Tools:
      • Familiarity with deep learning frameworks (TensorFlow, PyTorch), data visualization (Matplotlib, Seaborn, Plotly), and version control (Git).
    • Databases:
      • Experience with SQL and NoSQL databases.
    • Cloud:
      • Working knowledge of cloud-based services (AWS, Azure, or GCP) for data storage and model deployment.
  • Domain Knowledge:
    • Preferred experience (professional or research) in oil and gas projects, including familiarity with upstream/downstream data and industry-specific challenges.
  • Analytical & Problem-Solving:
    • Strong background in statistics, data mining, and algorithm development.
  • Communication:
    • Excellent verbal and written communication skills, with the ability to translate technical concepts into actionable insights.
  • Project Leadership:
    • Previous experience leading data science projects from conception to deployment.

What We Offer:

  • A competitive salary and comprehensive benefits package.
  • A dynamic work environment that fosters growth and innovation.
  • A modern office environment in the heart of Kuala Lumpur.

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