1

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 ...

The Data Scientist - Generative BI will drive business profitability and modernized analytics ... Rather than building generative models from scratch, your day-to-day work focuses on practical AI ...

Generative AI applications RAG (Retrieval-Augmented Generation) platforms Conversational AI and ... Mentor and develop data scientists, AI engineers, architects, and technical leaders while fostering ...

Generative AI applications * RAG (Retrieval-Augmented Generation) platforms * Conversational AI and enterprise chatbots * AI copilots and virtual assistants * Multi-agent and agentic AI systems

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 ...

Data Scientist / Senior Data Scientist We are seeking a highly skilled Data Scientist with strong ... Design, develop, and implement Generative AI solutions including chatbots and AI assistants. Work ...

Data Scientist / Senior Data Scientist We are seeking a highly skilled Data Scientist with strong ... Design, develop, and implement Generative AI solutions including chatbots and AI assistants. * Work ...

Showing results 21-40

Data Scientist Generative Ai information

See salary details

$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, DALLΒ·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:

What are popular job titles related to Data Scientist Generative Ai jobs?

For Data Scientist Generative Ai jobs, the most frequently searched job titles are:

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.

Sr Data Scinetest with Gen AI- W2 only.

Plano, TX β€’ On-site

Other

Posted 7 days ago


Job description

Job Title: Senior Data Scientist – Generative AI & Machine Learning

Location: Plano, TX (On-site / Hybrid)

Employment Type: Full-Time – W2 Only (No C2C / 1099)

Position Overview

We are seeking a highly skilled Data Scientist specializing in Generative AI and Machine Learning to design, build, and deploy intelligent, data-driven applications. In this role, you will bridge traditional statistical data science, predictive modeling, and state-of-the-art Generative AI frameworks (LLMs, RAG architectures, Agentic workflows) to solve complex business challenges and deliver scalable, enterprise-grade AI solutions.

Key Responsibilities
  • Generative AI & LLM Systems: Design, fine-tune, and deploy large language model (LLM) architectures, Retrieval-Augmented Generation (RAG) pipelines, and autonomous AI Agent workflows.

  • Core Data Science & Predictive Modeling: Apply statistical methods, machine learning algorithms, and exploratory data analysis to complex structured and unstructured datasets.

  • Pipeline Development: Build and optimize end-to-end data processing and model inference pipelines using Python, SQL, and cloud platforms.

  • Model Evaluation & MLOps: Establish evaluation frameworks (hallucination tracking, accuracy metrics, and drift detection) to maintain production model performance and alignment.

  • Stakeholder Collaboration: Translate complex business requirements into high-performing machine learning architectures and communicate insights to technical and non-technical partners.

Required Qualifications
  • Education: Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, or a related quantitative discipline.

  • Experience:

    • 4+ years of professional experience in data science, predictive modeling, and applied machine learning.

    • 1–2+ years of hands-on experience building, fine-tuning, or deploying Generative AI models and solutions (e.g., OpenAI API, LangChain, LlamaIndex, Hugging Face).

  • Programming & Databases: Strong proficiency in Python (Pandas, PyTorch, TensorFlow, Scikit-learn) and complex SQL querying.

  • Gen AI Tooling: Deep understanding of prompt engineering, vector databases (e.g., Pinecone, Chroma, Milvus, PGVector), embedding models, and orchestration frameworks.

  • Cloud Infrastructure: Practical experience deploying models in AWS, Azure, or Google Cloud Platform environments.

Preferred Qualifications
  • Experience developing multi-agent systems and orchestration tools (e.g., CrewAI, AutoGen).

  • Familiarity with MLOps pipelines, Docker containerization, CI/CD, and model governance frameworks.

  • Industry experience in financial services, telecommunications, retail, or enterprise SaaS (highly relevant for the Plano, TX talent market).