Position summary
We are seeking a highly motivated Data/AI Scientist to join our team. The successful candidate will be responsible for managing and analysing complex databases, designing and implementing data models, and utilizing AI and machine learning algorithms to extract valuable insights from data. The ideal candidate should have strong analytical skills, excellent problem-solving abilities, and experience with both database management and artificial intelligence technologies.
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.
- Continuous Improvement:
- Stay abreast of the latest trends and best practices in data science and machine learning.
- Provide mentorship to junior team members on data science methodologies and domain-specific use cases.
Qualifications and Skills:
- 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. Software experience (e.g., Petrel, Eclipse) is an added bonus.
- 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.
Working conditions:
- Competitive salary and comprehensive benefits package
- A dynamic work environment that fosters growth and innovation
- Modern office environment in the heart of Kuala Lumpur.
Thank you for considering joining our team. We look forward to reviewing your application! To apply, please submit your CV and a cover letter outlining your relevant experience to the form below.
