Remote Data Scientist - Predictive Analytics for Mining

Placements24

Willows (CA)

Remote

USD 140,000 - 200,000

Full time

3 days ago
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Benefits offered by this job

Remote-friendly work
Health insurance
Retirement plan
Professional development

Job summary

Placements24 is seeking an experienced Data Scientist for a fully remote role in the mining technology space. You will develop and deploy predictive models to optimize resource exploration, extraction efficiency, safety and maintenance across global operations.

You will work with geologists, engineers, and managers across time zones, building scalable data solutions and dashboards while staying current with ML advancements in mining. Strong communication is essential.

Qualifications

  • Master's or PhD in a quantitative field (Data Science, Statistics, CS, Engineering).
  • Minimum 5 years of professional Data Scientist experience with predictive models.
  • Proficiency in Python or R and libraries such as Scikit-learn, TensorFlow, PyTorch, Pandas.

Responsibilities

  • Design and deploy ML models for predictive maintenance and operations.
  • Analyze large datasets from diverse mining operations to extract insights.
  • Build data pipelines and ensure clean data for analytics.
  • Collaborate with engineers, geologists, and operators across time zones.
  • Create dashboards and reports to visualize KPIs and model outputs.
  • Communicate findings clearly to technical and non-technical stakeholders.
  • Keep up with ML and AI advances applicable to mining.
  • Ensure ethical, responsible use of data in analyses.
  • Contribute to a data-centric culture within the company.

Skills

Python
R
Scikit-learn
TensorFlow
PyTorch
Pandas
SQL
Statistical modeling
Machine learning
Data mining
Big data
Spark
Hadoop
Cloud platforms

Education

Master's in Data Science/Statistics/CS/Engineering
Ph.D. (preferred)

Tools

TensorFlow
PyTorch
Scikit-learn
Spark

Job description

Placements24 is seeking an experienced Data Scientist for a fully remote role in the mining technology space. You will develop and deploy predictive models to optimize resource exploration, extraction efficiency, safety and maintenance across global operations.

You will work with geologists, engineers, and managers across time zones, building scalable data solutions and dashboards while staying current with ML advancements in mining. Strong communication is essential.

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