Remote Data Scientist: Predictive Mineral Modeling

Placements24; Willows (CA); Remote; USD 120,000 - 190,000; Full time

Benefits offered by this job

Remote work

Home office stipend

Flexible hours

Tech upgrades

Job summary

Placements24 is seeking a highly analytical Remote Data Scientist to join a globally distributed team focused on mineral resource estimation. You will leverage big data, ML, and statistics to improve accuracy and efficiency of resource models, collaborating with geologists, engineers, and data analysts worldwide.

The role emphasizes remote collaboration, advanced modeling, and experimentation, with opportunities to contribute to data-driven exploration strategies and receive flexible hours and

Qualifications

• Master’s or PhD in a quantitative field.
• 6+ years of data science experience with statistical modeling.
• Proficiency in Python or R and ML libraries.
• SQL proficiency with large datasets.
• Experience with cloud platforms and big data tech.
• Strong communication for remote work.

Responsibilities

• Develop, implement, and validate predictive models for mineral resource estimation and grade prediction.
• Utilize ML algorithms to identify patterns in large geological datasets.
• Clean, transform, and prepare diverse datasets for analysis, ensuring data integrity.
• Collaborate with cross-functional teams remotely to understand data needs and deliver insights.
• Design and conduct A/B tests and experiments to evaluate model performance.
• Communicate complex findings and model methodologies clearly to technical and non-technical audiences.

Skills

Statistical modeling

Remote collaboration

Data storytelling

Education

Master’s or PhD in Data Science/Statistics/CS

Tools

Python

SQL

scikit-learn

TensorFlow

PyTorch

AWS/Azure/GCP

Job description

Placements24 is seeking a highly analytical Remote Data Scientist to join a globally distributed team focused on mineral resource estimation. You will leverage big data, ML, and statistics to improve accuracy and efficiency of resource models, collaborating with geologists, engineers, and data analysts worldwide.

The role emphasizes remote collaboration, advanced modeling, and experimentation, with opportunities to contribute to data-driven exploration strategies and receive flexible hours and