Cette offre d'emploi n'est plus disponible
À propos
cross‑functional data analytics intake team
that manages
intake, triage, investigation, and cause evaluations for electrical and safety incidents . Working in
Palantir Foundry , you will turn
structured and free‑text incident data
into
reliable, production‑ready datasets and prototypes
that
speed CPUC reportability decisions
and
improve corrective‑action outcomes . What You Will Learn and Deliver Practical Foundry skills: dataset transforms, code repositories, lineage, and operationalization. NLP and ML fundamentals applied to real safety data. Regulatory triage workflows and how rapid reporting constraints shape analytics. Deliverables:
ETL pipelines, labeled datasets, prototype models, dashboards , and a
final project report with reproducible notebooks . PG&E is providing the hourly rate range that the company in good faith believes it might pay for this position at the time of the job posting. This compensation range is specific to the locality of the job.
The actual hourly rate paid to an individual will be based on multiple factors, including, but not limited to, specific skills, education, licenses or certifications, experience, market value, geographic location, and internal equity. The hourly rate for a bachelor’s degree ranges from $20.88 to $36.42. Key Responsibilities Ingest and clean incident data in
Palantir Foundry
from structured fields and free‑text narratives. Label and curate training datasets for
NLP extraction and classification
tasks. Build and validate prototypes:
NER
for incident narratives, baseline
CPUC/SIF triage models , and interactive dashboards. Create reproducible
ETL pipelines
and
data quality checks
in Foundry. Produce clear documentation and handoffs for
Data Scientists
and operations teams. Support
human‑in‑the‑loop
workflows for rapid
CPUC reporting
( 2 hours during work hours / 4 hours outside ). Present findings and demos to stakeholders and incorporate feedback. Minimum Qualifications Currently enrolled full time in a Bachelors or Masters program studying
Data Science, Statistics, Computer Science, Engineering, or related field
at an accredited university. Students must be returning back to school in the fall of 2026 in a full-time academic capacity. Desired Qualifications Experience with
NLP tasks
(NER, text classification) or
time series/geo analytics . Exposure to
safety, utilities, or regulatory environments . Familiarity with
data quality frameworks
and
human‑in‑the‑loop labeling tools . Hands‑on experience with
Python
and common libraries ( pandas, scikit‑learn, spaCy or similar ). Familiarity with
SQL
and data modeling concepts. Comfort working with
free text
and
structured incident data . Strong communication skills and ability to document
reproducible workflows . Willingness to learn
Palantir Foundry ; prior Foundry and Git experience is a plus. PG&E is unable to provide VISA sponsorship to students on an F-1, J-1 or other student visa for this position.
Compétences linguistiques
- English
Avis aux utilisateurs
Cette offre a été publiée par l’un de nos partenaires. Vous pouvez consulter l’offre originale ici.