Job Description
Full details about the role and requirements
Yukerja Summary
The Data Scientist role at Yasa Nusa Talenta is curated from Glints (category Teknologi & IT). Note the work location (Maronge) before applying. Yukerja.com is not the employer — applications are handled on the official source site.
To proceed with the selection process, please upload your updated CV through the link below:
📩 Apply CV 👉 bit.ly/f1_yasanusatalenta
We will review your submission and contact you if you are shortlisted.📌
LOWONGAN KERJA - DATA SCIENTIST
Industry : Mining - Sumbawa
Detail Requirement:
1. 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.
2. Minimum 4–6 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.
3. Good English proficiency (spoken and written) for technical documentation and cross-site/corporate communication;
4. Strong analytical rigor, curiosity, and ability to translate ambiguous operational problems into well-scoped data science projects.
5. Strong proficiency in Python (pandas, scikit-learn, PyTorch/TensorFlow) and SQL; hands-on experience with Snowpark and Snowflake for model development.
6. Practical experience with the MLOps lifecycle: experiment tracking and model registry (MLflow or equivalent), feature stores, and model monitoring/drift detection.
7. Working knowledge of statistical and ML techniques relevant to mining: time-series forecasting, classification/regression for predictive maintenance, geostatistics/spatial analysis, and optimization methods.
8. Familiarity with mining operational data types (drillhole/assay data, block models, SCADA/IoT sensor streams, fleet management system data) is a strong advantage.
9. Experience building dashboards/analytical apps (Streamlit, Power BI, or Snowflake Notebooks) to communicate model outputs to operational stakeholders.
10. Understanding of data governance and access-control principles when handling sensitive geological, production, or safety data.
11. Relevant certifications is a plus
12. Willingness and ability to travel periodically to remote mine-site locations for data validation and stakeholder engagement.
Process :
1. Technical Test
2. CV Riview
Basic Salary : Max 10 - 12 Jt