
Advanced R Data Analyst Position
3 days ago
Job Opportunity
The R Data Analyst will test and develop code for identifying functional elements in core samples, driving business success through data-driven insights.
Key Responsibilities:
- Familiarity with R ecosystem and knowledge of public R packages for calibration workflows.
- Proficiency in R programming and data science principles.
- Analyzing activities/tasks details, task level estimates, schedules, dependencies, risks, and providing inputs to Module Leads for review.
- Addressing bugs and resolving issues in legacy code.
- Effective time estimation and management skills.
- Documented existing architecture and features in legacy code.
Preferred Skills:
- Programming proficiency in Python.
- Software design and architecture expertise.
- Understanding of spectra analysis in machine learning models.
- Data quality assurance and control (QA/QC).
- Testing and QA/QC methodologies.
Behaviors:
- Organized approach.
- Self-motivated individual.
- Able to learn quickly.
- Detailed documentation of code.
- Excellent written and verbal communication skills.
Education:
- Bachelor's Degree in Computer Science or related field.
Additional Requirements:
- Background or exposure to geology and geospatial concepts is advantageous.
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