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Data Scientist With Gen Ai Jobs (NOW HIRING)

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 ...

ClifyX is seeking a GEN AI Data Scientist Engineer with over 8 years of experience. The role involves building, training, validating, and deploying machine learning models, as well as implementing ...

Requisition Number: 105937 Principal Data Scientist Focus Clinical / HLS, Google Cloud Gen AI ... We are seeking a Principal Data Scientist with deep experience in clinical or healthcare and life ...

New

Candidates must have extensive hands-on experience with Lang Graph & Langchain. During the ... GEN AI and LLMs * Machine Learning * Vector Database * Must have worked on APIs and Microservices.

DS with GEN AI

Plano, TX · On-site

$14.25 - $18.50/hr

DS with GEN AI (Location: Plano, TX ) • Advanced proficiency in Python, including experience with asynchronous programming, data structures, and object-oriented design. • DS/ML algorithms and ...

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 ...

... Gen AI and causal ML capabilities, lead end-to-end development of scalable science solutions, and ... Hands-on experience with Generative AI applications, including one or more of: LLM fine-tuning ...

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 ...

Role: Data scientist Location: Hybrid 3 times a week in charlotte, NC or Atlanta, GA onsite ... with strong knowledge in AI/ML, NLP, Deep Learning, LLM's, Gen AI Models, expert in Python ...

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Data Scientist With Gen Ai information

See salary details

$37.5K

$122.7K

$196.5K

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

As of Aug 10, 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.

More about Data Scientist With Gen Ai jobs
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:
What job categories do people searching Data Scientist With Gen Ai jobs look for? The top searched job categories for Data Scientist With Gen Ai jobs are:
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, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Graph Data Scientist

Inficare Technologies

Charlotte, NC • On-site

Full-time

Re-posted 20 days ago


Job description

Job Title: Graph Data Scientist
Location: Charlotte, NC (Day 1 Onsite)
Job Type: Contract
Experience: Mid-Senior level
Job Overview
Our client is 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 across enterprise use cases.
Key Responsibilities
  • Design and develop graph data models using Neo4j or TigerGraph
  • Build and manage knowledge graphs for enterprise use cases including fraud detection, relationship mapping, and pattern discovery
  • Apply data science and ML techniques to extract actionable insights from graph data
  • Develop and optimize 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 production applications
Required Skills
  • Strong hands-on experience with 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 Skills
  • Experience with knowledge graphs and semantic data models
  • Exposure to hybrid architectures combining graph databases with AI systems
Location & Work Model
Charlotte, NC - Onsite from Day 1. Candidates must be willing and able to work on-site immediately.
Engagement Details
Contract engagement. Two openings available. Immediate start preferred.