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.