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Job Requirements of Data Logistics Analyst:
-
Employment Type:
Full-Time
-
Location:
Palo Alto, CA (Onsite)
Do you meet the requirements for this job?
Data Logistics Analyst
THIS ROLE IS HYBRID WITH 1 DAY PER WEEK AT LOCATION ON REQ
SCHEDULE: M-F 9-6/8-5 with flex depending on business needs
MOST IMPORTANT SKILLS/RESPONSIBILITIES:
o Web scraping
o Collaborate with cross-functional team to customize the usage of social media data
Role Summary:
Reliability is at the core of Electric Adventure Vehicles. As a data analyst specializing in generative AI, you will work closely with our engineering and data science team to create impactful large language model (LLM) application for reliability engineering.
Responsibilities:
o Build pipeline to extract data and insights from different social media platforms
o Create and maintain workflow for information triage using LLM
o Collaborate with cross-functional team to customize the usage of social media data
Qualifications:
o Knowledge of LLM techniques and tools (e.g. Prompt engineering, zero-shot, few-short learning)
o Python
o Web scraping
o A desire to contribute to a respectful, fun, inclusive and inspiring team culture
o Exceptional verbal and written communication skills
THIS ROLE IS HYBRID WITH 1 DAY PER WEEK AT LOCATION ON REQ
SCHEDULE: M-F 9-6/8-5 with flex depending on business needs
MOST IMPORTANT SKILLS/RESPONSIBILITIES:
o Web scraping
o Collaborate with cross-functional team to customize the usage of social media data
Role Summary:
Reliability is at the core of Electric Adventure Vehicles. As a data analyst specializing in generative AI, you will work closely with our engineering and data science team to create impactful large language model (LLM) application for reliability engineering.
Responsibilities:
o Build pipeline to extract data and insights from different social media platforms
o Create and maintain workflow for information triage using LLM
o Collaborate with cross-functional team to customize the usage of social media data
Qualifications:
o Knowledge of LLM techniques and tools (e.g. Prompt engineering, zero-shot, few-short learning)
o Python
o Web scraping
o A desire to contribute to a respectful, fun, inclusive and inspiring team culture
o Exceptional verbal and written communication skills
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