GIS Data Science Engineer - Data Ingestion and QA/QC

Terra AIRedwood City Office

On-site Full-time

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Experience Level

Entry Level

Qualifications

We are looking for candidates who possess a solid foundation in GIS principles and data engineering, with experience in utilizing GIS software and tools. Proficiency in programming languages such as Python or R is preferred, as well as familiarity with data normalization and QA/QC methodologies. Strong analytical skills and attention to detail will be essential for success in this role.

About the job

About Terra AI

At Terra AI, we are pioneering an advanced AI platform aimed at revolutionizing the discovery and development of clean energy and mineral resources. Leveraging cutting-edge techniques in generative AI, foundational modeling, and autonomous decision optimization, we address critical challenges in the geosciences. Our innovative systems enhance the reliability of identifying crucial resource deposits, expedite measurement and characterization, and facilitate the design of efficient, sustainable production plans.

Supported by Khosla Ventures and other leading investors, we are poised for rapid growth, expanding our team from approximately 15 to 30 by year-end. This growth will enable us to further refine our technology and foster collaboration with our esteemed partners in the mineral and clean energy sectors.

Role Overview

As a GIS Data Science Engineer, you will take charge of customer data ingestion and develop QA/QC workflows that transform complex, real-world geoscience data into usable formats at scale. This position marries hands-on GIS execution with data engineering, allowing you to manage GIS workflows for various projects while automating processes to minimize manual labor and enhance repeatability.

Key Responsibilities

Manage Project GIS Workflows

Prepare, curate, and deliver intricate client datasets covering both surface GIS and 3D subsurface contexts.
Utilize GIS tools daily to assemble data layers, validate spatial alignment, and generate project outputs.
Create detailed maps and figures for internal evaluations and client presentations, ensuring a polished cartographic finish when necessary.

Develop Ingestion and QA/QC Systems

Ingest and normalize datasets, including:
- Drillhole and drill core data (primary focus)
- Airborne and other geophysical survey datasets
- Support geospatial layers and project metadata
Standardize varied client formats into a cohesive framework to facilitate modeling workflows.
Establish automated QA/QC checks to identify issues early, encompassing:
- Coordinate reference systems and transformations
- Units, conventions, missing data, duplicates, and outlier detection
- Schema validation, metadata integrity, and provenance tracking

About Terra AI

Terra AI is at the forefront of technological innovation, committed to harnessing AI to create sustainable solutions for the energy and minerals sectors. Our collaborative culture and rapid growth trajectory provide an exciting environment for professionals eager to make a difference.

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