Zodiac Solutions, Inc
Looking for Data Scientist – Machine Learning & Agentic AI, Phoenix, AZ (Local Candidate Only )
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist – Machine Learning & Agentic AI in Phoenix, AZ, with a contract length of unspecified duration. Requires 8-10 years of experience, strong skills in Python, SQL, PySpark, and expertise in Machine Learning and Generative AI.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
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🗓️ - Date
July 4, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Hybrid
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📄 - Contract
Unknown
-
🔒 - Security
Unknown
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📍 - Location detailed
Phoenix, AZ
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🧠 - Skills detailed
#Airflow #ML (Machine Learning) #Apache Airflow #Cloud #Data Science #BI (Business Intelligence) #Data Analysis #SQL (Structured Query Language) #Data Engineering #Data Quality #Datasets #BigQuery #Scala #"ETL (Extract #Transform #Load)" #AI (Artificial Intelligence) #Microsoft Power BI #GCP (Google Cloud Platform) #PySpark #Spark (Apache Spark) #Storage #Python
Role description
Job Title: Data Scientist – Machine Learning & Agentic AI
Location: Phoenix, AZ ( 3 days onsite)
Experience: 8 - 10 Yrs Years
About the Role
We're Hiring | Data Scientist – Machine Learning & Agentic AI
Location: Phoenix, AZ (Hybrid – 3 Days Onsite)
Experience: 8–10 Years
Our client is looking for an experienced Data Scientist with strong expertise in Machine Learning, Data Engineering, and Generative AI to build scalable, data-driven solutions and drive AI innovation.
Key Responsibilities
• Analyze large-scale structured and unstructured datasets to generate business insights.
• Build and optimize ETL/ELT pipelines using PySpark and SQL.
• Develop, deploy, and monitor end-to-end Machine Learning models.
• Design data validation frameworks and ensure data quality and governance.
• Work on Generative AI, LLMs, Prompt Engineering, RAG, and Agentic AI initiatives.
• Collaborate with cross-functional teams and communicate insights to business stakeholders.
Required Skills
✅ Python
✅ SQL
✅ PySpark
✅ Machine Learning (Supervised & Unsupervised)
✅ End-to-End ML Lifecycle
✅ Data Analysis & Business Insights
✅ Data Validation & Governance
✅ Excellent Communication Skills
Highly Preferred
• Google Cloud Platform (GCP) – BigQuery, Dataproc, Cloud Storage
• Apache Airflow (DAGs & Workflow Orchestration)
Preferred
• Power BI
Strong Differentiator
• Large Language Models (LLMs)
• Prompt Engineering
• Retrieval-Augmented Generation (RAG)
• Agentic AI
Job Title: Data Scientist – Machine Learning & Agentic AI
Location: Phoenix, AZ ( 3 days onsite)
Experience: 8 - 10 Yrs Years
About the Role
We're Hiring | Data Scientist – Machine Learning & Agentic AI
Location: Phoenix, AZ (Hybrid – 3 Days Onsite)
Experience: 8–10 Years
Our client is looking for an experienced Data Scientist with strong expertise in Machine Learning, Data Engineering, and Generative AI to build scalable, data-driven solutions and drive AI innovation.
Key Responsibilities
• Analyze large-scale structured and unstructured datasets to generate business insights.
• Build and optimize ETL/ELT pipelines using PySpark and SQL.
• Develop, deploy, and monitor end-to-end Machine Learning models.
• Design data validation frameworks and ensure data quality and governance.
• Work on Generative AI, LLMs, Prompt Engineering, RAG, and Agentic AI initiatives.
• Collaborate with cross-functional teams and communicate insights to business stakeholders.
Required Skills
✅ Python
✅ SQL
✅ PySpark
✅ Machine Learning (Supervised & Unsupervised)
✅ End-to-End ML Lifecycle
✅ Data Analysis & Business Insights
✅ Data Validation & Governance
✅ Excellent Communication Skills
Highly Preferred
• Google Cloud Platform (GCP) – BigQuery, Dataproc, Cloud Storage
• Apache Airflow (DAGs & Workflow Orchestration)
Preferred
• Power BI
Strong Differentiator
• Large Language Models (LLMs)
• Prompt Engineering
• Retrieval-Augmented Generation (RAG)
• Agentic AI
