Data Scientist

Maganti IT Resources, LLC; Charlotte (NC); On-site; USD 110,000 - 160,000; Full time

Job summary

Maganti IT Resources, LLC is seeking a Data Scientist with Generative AI expertise to join our team in Charlotte, NC. The role combines traditional data science with cutting-edge AI techniques to deliver scalable data-driven solutions.

You will work closely with stakeholders to translate business problems into predictive models, leverage SQL across Oracle, GCP, and AWS, and collaborate with MLOps for deployment and monitoring. Strong communication required.

Qualifications

• Strong foundation in Data Science including statistical modeling, ML, and DL.
• Hands-on Generative AI and LLM experience.
• Strong SQL expertise and experience with AWS.

Responsibilities

• Design, develop, and implement advanced Data Science solutions leveraging statistical modeling, ML, and DL.
• Build and evaluate Generative AI and LLM-based solutions to address business challenges and improve operational efficiency.
• Analyze large datasets using SQL across Oracle (On-Prem), GCP, and AWS environments.
• Collaborate with business stakeholders to understand requirements, define objectives, and deliver actionable insights.
• Develop predictive models, perform feature engineering, and validate model performance using industry best practices.
• Collaborate with Data Engineering and MLOps teams to support model deployment and operationalization.

Skills

Statistical Modeling

Machine Learning

Generative AI

LLMs

SQL

AWS

Stakeholder management

Tools

Oracle (On-Prem)

Google Cloud Platform (GCP)

Amazon Web Services (AWS)

Job description

Job Description: Data Scientist / Generative AI Specialist

Position Overview

We are seeking a highly motivated and results-driven Data Scientist with Generative AI expertise to join our growing team. This role requires a professional with a strong foundation in traditional Data Science, including statistical modeling, Machine Learning (ML), and Deep Learning (DL), while also possessing hands‑on experience with modern Generative AI and Large Language Model (LLM) solutions.

The ideal candidate will have excellent analytical and problem‑solving skills, strong SQL expertise, and the ability to work independently with minimal supervision. This position is highly stakeholder‑facing and requires someone who can translate business problems into scalable data‑driven solutions.

Key Responsibilities

• Design, develop, and implement advanced Data Science solutions leveraging statistical modeling, Machine Learning, and Deep Learning techniques.
• Build and evaluate Generative AI and LLM‑based solutions to address business challenges and improve operational efficiency.
• Analyze large and complex datasets using SQL across Oracle (On‑Prem), GCP, and AWS environments.
• Work closely with business stakeholders to understand requirements, define objectives, and deliver actionable insights.
• Develop predictive models, perform feature engineering, and validate model performance using industry best practices.
• Collaborate with Data Engineering and MLOps teams to support model deployment and operationalization activities.
• Stay current with emerging advancements in AI, Machine Learning, and Generative AI technologies.

Required Skills & Qualifications

Primary Skills

• Strong foundation in Data Science, including:
• Statistical Modeling
• Machine Learning Algorithms
• Hands‑on experience with Generative AI, Large Language Models (LLMs), and AI‑driven solution development.
• Strong SQL expertise with the ability to analyze and manipulate data in:
• Amazon Web Services (AWS)
• Ability to independently solve complex business problems with minimal guidance.
• Strong communication, presentation, and stakeholder management skills.

Secondary Skills

• Understanding of MLOps concepts, workflows, and model lifecycle management.
• Experience collaborating with MLOps teams for model deployment and monitoring activities.
• Exposure to cloud‑based data platforms and analytics ecosystems within GCP and AWS.