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Data Scientist Generative Ai Jobs (NOW HIRING)

Citizens

Sr Data Scientist- Generative AI

Columbus, OH · On-site

As a Senior Data Scientist, Generative AI & Agentic Systems, you will help drive the bank's AI transformation by designing, developing, and deploying Large Language Model (LLM) solutions, Retrieval ...

Citizens

Sr Data Scientist- Generative AI

Cleveland, OH · On-site

As a Senior Data Scientist, Generative AI & Agentic Systems, you will help drive the bank's AI transformation by designing, developing, and deploying Large Language Model (LLM) solutions, Retrieval ...

Citizens

Sr Data Scientist- Generative AI

Westwood, MA · On-site

As a Senior Data Scientist, Generative AI & Agentic Systems, you will help drive the bank's AI transformation by designing, developing, and deploying Large Language Model (LLM) solutions, Retrieval ...

Citizens

Sr Data Scientist- Generative AI

Columbus, OH · On-site

As a Senior Data Scientist, Generative AI & Agentic Systems, you will help drive the bank's AI transformation by designing, developing, and deploying Large Language Model (LLM) solutions, Retrieval ...

Humana

Senior Data Scientist - Generative AI

Become a part of our caring community We are looking for a Senior Data Scientist to design and deliver Generative AI applications as part of the Growth Analytics & AI team. You will focus on building ...

Humana

Senior Data Scientist - Generative AI

Become a part of our caring community We are looking for a Senior Data Scientist to design and deliver Generative AI applications as part of the Growth Analytics & AI team. You will focus on building ...

Humana

Senior Data Scientist - Generative AI

Become a part of our caring community We are looking for a Senior Data Scientist to design and deliver Generative AI applications as part of the Growth Analytics & AI team. You will focus on building ...

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Data Scientist Generative Ai information

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$46K

$165K

$243.5K

How much do data scientist generative ai jobs pay per year?

As of Sep 15, 2026, the average yearly pay for data scientist generative ai in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What is the difference between Data Scientist Generative Ai vs Data Scientist?

AspectData Scientist Generative AiData Scientist
Required CredentialsDegree in Computer Science, Data Science, or related fields; knowledge of AI, machine learning, and programming languagesSimilar credentials; often includes degrees in statistics, computer science, or related fields
Work EnvironmentTech companies, AI startups, research labs focusing on AI and machine learning projectsVarious industries including finance, healthcare, tech, and consulting
Employer & Industry UsagePrimarily in AI development, focusing on generative models like GPT, DALL·E, and similarBroader industry applications, including data analysis, predictive modeling, and business insights

While both roles require strong data science skills and programming knowledge, Data Scientist Generative Ai specializes in developing and deploying generative AI models, whereas Data Scientist has a broader focus on data analysis and predictive modeling across various industries.

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Data Scientist Generative Ai jobs near you
Infographic showing various Data Scientist Generative Ai job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 12% Part Time, and 2% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Data Scientist / Generative AI Specialist

Charlotte, NC • On-site

Resource Innovative Technologies LLC
See more jobs at Resource Innovative Technologies LLCexternal

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This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Job Description: Data Scientist / Generative AI Specialist

Location: Charolette, NC

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), Google Cloud Platform, 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

Deep Learning Techniques

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:

Oracle (On-Premises)

Google Cloud Platform (Google Cloud Platform)

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 Google Cloud Platform and AWS.

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