Data Scientist

Job Title: Data Scientist (Permanent Position)

Salary Package : Basic RM5000-RM7000 + RM30 handphone allowance

Working Hour: 8am-5pm/9am-6pm (Monday-Friday)

Location : Perdana The Place, Jalan PJU 8/5g, Damansara Perdana, 47820 Petaling Jaya, Selangor

Key Responsibilities:

1. TTE (Time-To-Event) Modelling Expertise:

• Experience with survival analysis and TTE modelling techniques.
• Proficiency in survival analysis and hazard function modelling.
• Understanding of Kaplan-Meier estimators, Cox proportional hazard models, Bayesian hierarchical models, Harell’s C-index, parametric survival models, etc.
• Experience handling censored data and time-dependent covariates.
• Familiarity with libraries such as:

i. lifelines: A Python library for survival analysis.

ii. Scikit-survival: Built on scikit-learn, focuses on survival modelling.

iii. PySurvival: For predictive survival modelling.

2. Machine Learning and AI Development:

• Strong knowledge of machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
• Solid understanding of supervised and unsupervised learning.
• Experience with libraries like scikit-learn, TensorFlow, or PyTorch.
• Experience in designing, training, and maintaining machine learning models for predictive maintenance.
• Familiarity with explainable AI (XAI) techniques for better model interpretability.

3. Deep Learning

• Familiarity with deep learning concepts and frameworks (Keras, TensorFlow, or PyTorch).
• Knowledge of neural networks, RNNs, and architectures suitable for time-series data.

4. Programming Skills:

• Proficiency in Python, with strong fundamentals in object-oriented programming and functional programming.
• Familiarity with Python libraries like NumPy, pandas, and SciPy for data manipulation and scientific computation.
• Expertise in Python and/or R for data analysis, modelling, and system integration.
• Knowledge of SQL and NoSQL databases for handling large datasets.
• Familiarity with scripting and automation for data preprocessing and system updates.

5. Data Engineering and Management:

• Handling missing data, encoding categorical features, and time-to-event specific preprocessing.
• Experience with transforming time-dependent covariates.

6. Data Preprocessing and Feature Engineering

• Proficiency in managing and processing IoT data streams.
• Experience with big data technologies
• Understanding of cloud platforms (e.g., AWS (preferably), Azure, Google Cloud) for deploying and scaling AI solutions.

7. Data Visualization:

• Skills in creating visualizations for model interpretation and evaluation.
• Tools: Matplotlib, Seaborn, Plotly, and survival curves visualization in lifelines.

8. Statistical Analysis:

• Advanced understanding of statistical methods for TTE modelling and predictive analytics.
• Knowledge of anomaly detection techniques relevant to predictive maintenance.
• Proficient in statistical methods, hypothesis testing, and distributions.
• Knowledge of censored data handling and hazard functions.
• Tools: statsmodels, lifelines.

Job Requirements:

• Certifications in machine learning or AI (e.g., Google Professional Machine Learning Engineer, AWS Certified Machine Learning Specialist), advanced analytics (e.g., SAS Certified Specialist: AI and Machine Learning), and training in cloud-based AI/IoT platforms are highly valued.
• Proven track of record in implementing AI systems for similar projects, particularly in asset management or equipment reliability.
• Strong in problem solving, collaboration and easy to adapt with new tools, technologies as the AI system evolves.
• Experience with predictive maintenance systems and IoT applications in healthcare or industrial settings, including implementing AI systems for asset management, taking over and maintaining AI systems post-consultant handover, and updating and retraining models to ensure accuracy and relevance.

Job Types: Full-time, Permanent

Pay: RM5,000.00 - RM7,030.00 per month

Benefits:

• Health insurance
• Maternity leave

Schedule:

• Day shift
• Monday to Friday