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Data Scientist With Gen Ai Jobs (NOW HIRING)

... with Gen AI Models. REQUIRED SKILLS * 7+ years of experience as Data Scientist or related roles ... Bachelor's degree in Computer Science, or a related technical field * Deep understanding and some ...

Data Scientist Location: Baltimore, MD (Onsite) Hiring Type: Contract Job Summary: We are seeking a ... Stay updated with the latest advancements in AI, NLP, and Gen AI technologies. Required Skills ...

Role: Data Scientist Location: Irving, TX - Fulltime Position Data Scientist with Generative AI ... Experience with opensource Gen AI LLMs e.g., Llama and Dolly * Machine learning, NLP & deep ...

Clinical / HLS, Google Cloud Gen AI, Agents, and Applied ML Location: Nashville, TN area preferred ... We are seeking a Principal Data Scientist with deep experience in clinical or healthcare and life ...

Charlotte, NC Job Duration: Long-Term We need candidates with a traditional Data Science mindset, a blend of core Data Science and Gen AI skills. Client want someone grounded in classical ML/DL ...

Mentor and guide junior data scientists and software engineers on Gen AI techniques and frameworks. * Partner with product managers to assess technical feasibility, estimate level of effort (LoE ...

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Data Scientist With Gen Ai information

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$37.5K

$122.7K

$196.5K

How much do data scientist with gen ai jobs pay per year?

As of Aug 25, 2026, the average yearly pay for data scientist with gen ai in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What is the difference between Data Scientist With Gen Ai vs Data Scientist?

AspectData Scientist With Gen AiData Scientist
Required CredentialsBachelor's or Master's in CS, Data Science, or related; familiarity with Gen AI toolsBachelor's or Master's in CS, Data Science, or related; strong statistical and programming skills
Work EnvironmentTech companies, AI startups, R&D labs focusing on AI and machine learningVarious industries including finance, healthcare, tech; data analysis and modeling roles
Employer & Industry UsageOrganizations integrating Gen AI into products/servicesOrganizations analyzing data to inform decisions across sectors

While both roles require a solid foundation in data analysis and programming, Data Scientist With Gen Ai specializes in leveraging Generative AI technologies, whereas Data Scientist focuses broadly on data modeling and analysis across industries.

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What cities are hiring for Data Scientist With Gen Ai jobs?

Cities with the most Data Scientist With Gen Ai job openings:

What states have the most Data Scientist With Gen Ai jobs?

States with the most job openings for Data Scientist With Gen Ai jobs include:

Infographic showing various Data Scientist With Gen Ai job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Graph Data Scientist

Charlotte, NC • On-site

Other

Posted 14 days ago


Job description

Role Summary

We are looking for a highly skilled Graph Data Scientist to design and develop graph-based analytical solutions leveraging Neo4j/TigerGraph and advanced data science techniques. The role will focus on building knowledge graphs, detecting complex patterns, and enabling AI-driven insights.

Key Responsibilities

Design and develop graph data models using Neo4j/TigerGraph

Build and manage knowledge graphs for enterprise use cases (fraud detection, relationship mapping, pattern discovery)

Apply data science and ML techniques to extract insights from graph data

Develop graph algorithms (pathfinding, centrality, clustering, anomaly detection)

Integrate graph platforms with Gen AI/LLM-based systems for intelligent decision-making

Collaborate with engineering and AI teams to embed graph insights into applications

Required Skills

Strong experience in Neo4j, TigerGraph, or similar graph databases

Solid background in data science (Python, Pandas, Scikit-learn, PyTorch/TensorFlow)

Experience in graph algorithms and network analysis

Hands-on with data modeling, ETL, and large-scale data processing

Understanding of Gen AI / LLM integration with structured data systems

Preferred

Experience with knowledge graphs and semantic data models

Exposure to hybrid architectures combining graph + AI systems