

BELCAN
Data Logistics Analyst
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Logistics Analyst in Palo Alto, CA, for 3+ months at $31.10-$41.14/hr. Key skills include Python, SQL, and LLM tools. Experience in machine learning and AI is required, along with a relevant degree focus.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
328
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🗓️ - Date
January 29, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
On-site
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Palo Alto, CA 94304
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🧠 - Skills detailed
#TensorFlow #NumPy #SpaCy #Keras #Strategy #NLTK (Natural Language Toolkit) #Data Analysis #Data Science #ML (Machine Learning) #Pandas #AI (Artificial Intelligence) #Mathematics #Deep Learning #Python #PyTorch #Computer Science #SQL (Structured Query Language) #ChatGPT
Role description
Job Title: Data Logistics Analyst Location: Palo Alto, CA Zip Code: 94304 Duration: 3+ Months Pay Rate: $ 31.10- $41.14/hr Keyword's: #PaloAltojobs; #Analystjobs. Start Date: Immediate Job Description: JOB DESCRIPTION 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, utilizing your deep understanding of machine learning and AI to create impactful large language model (LLM) application for reliability engineering. Responsibilities:
Develop Reliability Assistant AI Agent architecture and strategy to allow LLM application search information across different database
Design a website conversational interface for LLM application with efficient response time
Present LLM application demo to stakeholders
Qualifications:
Knowledge of tools for LLM application
Python (numpy, pandas, spacy, nltk, sklearn, tensorflow, keras, pytorch, etc.)
SQL
LLM tool (ChatGPT, Bart, Llama2, etc.)
Experience in machine learning/deep learning and AI, especially LLM
A desire to contribute to a respectful, fun, inclusive and inspiring team culture
Exceptional verbal and written communication skills
Currently pursuing a degree with a focus on data science, computer science, applied mathematics, electrical engineering, mechanical engineering, chemistry or other related engineering field
Belcan is an equal opportunity employer. Your application and candidacy will not be considered based on race, colour, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.
Job Title: Data Logistics Analyst Location: Palo Alto, CA Zip Code: 94304 Duration: 3+ Months Pay Rate: $ 31.10- $41.14/hr Keyword's: #PaloAltojobs; #Analystjobs. Start Date: Immediate Job Description: JOB DESCRIPTION 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, utilizing your deep understanding of machine learning and AI to create impactful large language model (LLM) application for reliability engineering. Responsibilities:
Develop Reliability Assistant AI Agent architecture and strategy to allow LLM application search information across different database
Design a website conversational interface for LLM application with efficient response time
Present LLM application demo to stakeholders
Qualifications:
Knowledge of tools for LLM application
Python (numpy, pandas, spacy, nltk, sklearn, tensorflow, keras, pytorch, etc.)
SQL
LLM tool (ChatGPT, Bart, Llama2, etc.)
Experience in machine learning/deep learning and AI, especially LLM
A desire to contribute to a respectful, fun, inclusive and inspiring team culture
Exceptional verbal and written communication skills
Currently pursuing a degree with a focus on data science, computer science, applied mathematics, electrical engineering, mechanical engineering, chemistry or other related engineering field
Belcan is an equal opportunity employer. Your application and candidacy will not be considered based on race, colour, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.






