Senior Data Scientist, Completions & Fracturing Analytics

United States Digital Space LLC; United States; Remote; USD 140,000 - 200,000; Full time

Job summary

United States Digital Space LLC is seeking a Senior Data Scientist to advance analytics for hydraulic fracturing, completions, and production. You will design models, build production-grade Python tools, and collaborate with cross-functional teams to turn operational data into scalable decision-support applications.

The ideal candidate combines deep domain knowledge in oilfield operations with strong data science and software development skills to drive measurable improvements in efficiency and

Qualifications

• Master's or PhD in a quantitative field such as Data Science, Engineering, or Petroleum Engineering.
• 5+ years of data science, analytics, or software development experience.
• Experience with oil and gas operational data preferred.
• Strong Python and software development practices.
• Experience delivering analytical solutions that improve operations.

Responsibilities

• Analyze large-scale datasets from completions, fracturing, and production to improve understanding and decisions.
• Develop physics-based, statistical, and data-driven models; validate with field data.
• Create scalable analytics tools, pipelines, and APIs for production environments.
• Collaborate with engineers, product managers, and software teams to deliver solutions.
• Communicate findings clearly to technical and non-technical stakeholders.
• Document methodologies and analytical workflows.

Skills

Python

Pandas

NumPy

SQL

Time-series

Machine Learning

Education

Master's/PhD in quantitative field

Tools

SQL

Jupyter

Job description

United States Digital Space LLC is seeking a Senior Data Scientist to advance analytics for hydraulic fracturing, completions, and production. You will design models, build production-grade Python tools, and collaborate with cross-functional teams to turn operational data into scalable decision-support applications.

The ideal candidate combines deep domain knowledge in oilfield operations with strong data science and software development skills to drive measurable improvements in efficiency and