Geoscience Data Scientist - ML & Data QA (Remote)

University of Minnesota; Saint Paul (MN); Hybrid; USD 63,841,000 - 64,042,000; Full time

Job summary

The Minnesota Geological Survey (MGS) at the University of Minnesota is seeking a data science specialist to apply machine learning to streamline workflows and enhance data quality. Work includes cross-checking records for inconsistencies and missing values, with supervision by a geologist and senior staff. Remote work up to 40% of time is possible; located off-campus near Territorial Road in St.

Paul. Qualifications include a data science degree or equivalent experience, strong Python skills,

Qualifications

• Bachelor's degree in Data Science or related field, or equivalent education/experience totaling ≥4 years.
• Ability to write and assemble Python code or similar platform‑independent language.
• Ability to incorporate LLMs and/or ML tools into application code.
• Strong attention to detail and accuracy.
• Experience with Microsoft Office (Excel, Word).

Responsibilities

• Apply ML methods to improve MGS workflows and data quality.
• Develop quality control methods to detect database errors.
• Cross-check records for missing values and inconsistencies.

Skills

Python

Data Science

Code writing

LLMs/AI tools

Attention to detail

Education

Bachelor's degree in Data Science or related field

Tools

Microsoft Office

County Well Index

Job description

The Minnesota Geological Survey (MGS) at the University of Minnesota is seeking a data science specialist to apply machine learning to streamline workflows and enhance data quality. Work includes cross-checking records for inconsistencies and missing values, with supervision by a geologist and senior staff. Remote work up to 40% of time is possible; located off-campus near Territorial Road in St.

Paul. Qualifications include a data science degree or equivalent experience, strong Python skills,