M
MSBU
Data Scientist
Skills
SQL QueriesPythonData SciencepandasPyTorchTensorFlowSnowflakeMachine LearningPower BI
7 days ago
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Important information
Contract type:
Freelance / Contract
Location:
Sumbawa Besar, Seketeng, Sumbawa, Sumbawa Regency, West Nusa Tenggara, Indonesia
Work mode:
Onsite
Published on:
14 October 2026
What they need
- Bachelor's degree (S1) in Data Science, Statistics, Computer Science, Mining/Geological/Metallurgical Engineering, Mathematics, Physics, or related quantitative field; Master's degree (S2) is an advantage.
- Minimum 3-5 years of professional experience in data science/machine learning, with at least 1–2 years of exposure to mining, resources, or heavy-industry operational data (production, maintenance, geology, or process data) preferred.
- Good English proficiency (spoken and written) for technical documentation and cross-site/corporate communication;
- Strong analytical rigor, curiosity, and ability to translate ambiguous operational problems into well-scoped data science projects.
- Strong proficiency in Python (pandas, scikit-learn, PyTorch/TensorFlow) and SQL; hands-on experience with Snowpark and Snowflake for model development.
- Practical experience with the MLOps lifecycle: experiment tracking and model registry (MLflow or equivalent), feature stores, and model monitoring/drift detection.
- Working knowledge of statistical and ML techniques relevant to mining: time-series forecasting, classification/regression for predictive maintenance, geostatistics/spatial analysis, and optimization methods.
- Familiarity with mining operational data types (drillhole/assay data, block models, SCADA/IoT sensor streams, fleet management system data) is a strong advantage.
- Experience building dashboards/analytical apps (Streamlit, Power BI, or Snowflake Notebooks) to communicate model outputs to operational stakeholders.
- Understanding of data governance and access-control principles when handling sensitive geological, production, or safety data.
- Relevant certifications is a plus
- Willingness and ability to travel periodically to remote mine-site locations for data validation and stakeholder engagement.
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