

Reqroute, Inc
Data Scientist
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist with a contract length of "X months" and a pay rate of "$X/hour." Candidates must have strong SQL skills and experience in core Data Science, Generative AI, and familiarity with Oracle, GCP, or AWS environments.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
480
-
🗓️ - Date
August 18, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Unknown
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
Charlotte, NC
-
🧠 - Skills detailed
#AWS (Amazon Web Services) #SQL (Structured Query Language) #Datasets #Oracle #Deep Learning #ML (Machine Learning) #AI (Artificial Intelligence) #GCP (Google Cloud Platform) #Data Analysis #Data Science
Role description
They want someone grounded in classical ML/DL fundamentals who can also work with modern Gen AI tools. Candidate needs strong SQL skills to analyze datasets residing in Oracle (on-prem), GCP, or AWS environments. While the role will need to understand and support the MLOps team's workflows, this is not an MLOps engineering position, the person won't own MLOps responsibilities directly.
IVR Experience is not mandatory.
High-Level Skill Set
Primary Skills:
• Core Data Science (statistical modeling, traditional Machine Learning, Deep Learning)
• Generative AI /LLM-based solutioning
• Strong SQL for data analysis (Oracle, GCP, AWS environments)
• Strong independent problem-solving and stakeholder-facing communication
Secondary Skills:
Working knowledge of MLOps concepts and pipelines
They want someone grounded in classical ML/DL fundamentals who can also work with modern Gen AI tools. Candidate needs strong SQL skills to analyze datasets residing in Oracle (on-prem), GCP, or AWS environments. While the role will need to understand and support the MLOps team's workflows, this is not an MLOps engineering position, the person won't own MLOps responsibilities directly.
IVR Experience is not mandatory.
High-Level Skill Set
Primary Skills:
• Core Data Science (statistical modeling, traditional Machine Learning, Deep Learning)
• Generative AI /LLM-based solutioning
• Strong SQL for data analysis (Oracle, GCP, AWS environments)
• Strong independent problem-solving and stakeholder-facing communication
Secondary Skills:
Working knowledge of MLOps concepts and pipelines






