Lead Data Scientists

1 week ago


Kuala Lumpur, Malaysia Nityo Infotech Full time

Responsibilities:

- Develop Machine Learning model using Python
- Gather and review necessary data from relevant sources to setup comprehensive dataset as variables for training the Machine Learning (ML) model.
- Configure data integration from various data not limited to well logs, seismic attributes, and production data, to provide a comprehensive understanding of subsurface geology data into a combined dataset for further analysis. This involves merging of data, checking of data compatibility, and resolving any inconsistencies or discrepancies for data frame preparation.
- Perform data quality, cleaning, and data integrity checks to resolve any data issues that may affect accuracy and reliability of the model.
- Analyse large amounts of information to discover and recognize trends and patterns as part of exploratory data analysis.
- Train the Machine Learning model by selecting appropriate algorithm, defining input features and target variable for missed opportunity portfolio ranking prediction analytic solution.
- Validate the model by evaluating the model’s performance to study the effectiveness and model accuracy. ML algorithms can quantify the uncertainty associated with predictions, providing decision-makers with confidence levels and risk assessments.
- Perform user acceptance test to verify the integration, assess the model’s performance and address any feedback from users.
- Configure necessary API for integration of ML model with solution user interface.
- Prepare admin documentation for reference.
- Implementation & configuration for go-live.
- Support stabilization period to fix issue and bug after deployment.
- Lead/guide/mentor/train project team member data scientist during the development.
- Having geoscience knowledge will be advantage
- Available onsite in office

Pay: RM6,944.35 - RM8,000.00 per month

Schedule:

- Day shift
- Monday to Friday


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