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Data Scientist Generative Ai Jobs (NOW HIRING)

Overview The Sr Staff AI Scientist - Generative AI will apply knowledge and experience to real ... A Data Scientist at Cotiviti will be given the opportunity to work directly with a team of health ...

Overview The Sr Staff AI Scientist - Generative AI will apply knowledge and experience to real ... A Data Scientist at Cotiviti will be given the opportunity to work directly with a team of health ...

At SAP, we integrate AI technology with extensive industry-specific data and deep process knowledge ... for Consultant, Generative AI Hub, AI Core, and Document Information Extraction as the AI ...

At SAP, we integrate AI technology with extensive industry-specific data and deep process knowledge ... for Consultant, Generative AI Hub, AI Core, and Document Information Extraction as the AI ...

We are seeking a highly skilled Data Scientist with strong expertise in Python, NLP, and Generative AI. The ideal candidate will have hands-on experience in building intelligent models using Natural ...

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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 Aug 5, 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.

More about Data Scientist Generative Ai jobs
What cities are hiring for Data Scientist Generative Ai jobs? Cities with the most Data Scientist Generative Ai job openings:
What states have the most Data Scientist Generative Ai jobs? States with the most job openings for Data Scientist Generative Ai jobs include:
Infographic showing various Data Scientist Generative Ai job openings in the United States as of July 2026, with employment types broken down into 73% Full Time, 24% Part Time, and 3% Contract. Highlights an 65% Physical, 3% Hybrid, and 32% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Data Scientist / Generative AI Specialist(Only on W2)

Resource Innovative Technologies LLC

Charlotte, NC • On-site

Other

Posted 5 days ago


Job description

Role: Data Scientist / Generative AI Specialist

Location Charlotte, NC (Onsite)

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.

Required Skills & Qualifications

Primary Skills

·        Strong foundation in Data Science, including:

o   Statistical Modeling

o   Machine Learning Algorithms

o   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:

o   Oracle (On-Premises)

o   Google Cloud Platform (Google Cloud Platform)

o   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.