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Data Scientist

Baltimore, MD · On-site

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 ...

Sarian, Inc.

Sr. Data Scientist

Irving, TX · On-site

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 ...

Reveille Technologies

AI Data Scientist

San Jose, CA · On-site

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.

Salesforce

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 ...

Robert Half

Data Scientist II

San Ramon, CA · On-site

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 ...

Salesforce

DS with GEN AI

Murphy, 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 ...

Smart Data

15787 Data Scientist II

Cincinnati, OH · On-site +1

... 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 ...

Robert Half

Data Scientist II

San Ramon, CA

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 9, 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:
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Data Scientist With Gen Ai jobs near you
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.

Python with Gen AI - / Data Scientist

MSR Cosmos

New York, NY • On-site

Contractor

Re-posted 16 days ago

Job description

Title: Python with Gen AI - / Data Scientist
Location: Remote
Duration: Long Term
 
Min Experience 10+ years
 
Skills
 
Mandatory Skills : MLOPS, Python, Gen AI, ML
 
Requirement
  • AIML NLP Strong background in MLNLP transformers embeddings supervised unsupervised learning with handson skills in PyTorch TensorFlow scikit learn
  • MLOps Experience building and maintaining MLOps pipelines MLflow Kubeflow SageMaker for training deployment monitoring and ensuring fairness bias controls
  • Financial Data Standards Familiarity with capital markets datasets and financial standards
  • Explainability XAI Knowledge of explainable AI SHAP LIME counterfactuals and ontology driven traceability
  • Business Problem Solving Applying ML to business problems adverse media anomaly detection regulatory reporting QA
  • Good knowledge of system architecture object oriented design and design patterns
  • Modern Platform Architecture Experience designing and evolving cloudnative modular and federated architectures for scale resilience and agility
  • Agentic AI Systems Ability to design and implement agentic AI systems CrewAI Autogen Lang Graph MCP servers and multiagent orchestration for workflows reconciliations KYC regulatory
  • Integration Interoperability Strong abstraction and modelling skills integrating semantic models into data mesh and ensuring interoperability across domains
  • Should have had exposure of Architecture in the past which enhances the thought process to be more holistic
 
Good to have
  • Streaming EventDriven Execution Knowledge of realtime event driven architectures Kafka Redis Streams event sourcing
  • DevOps Cloud Engineering Proficiency in DevOps cloud platforms AWS ECS Azure Kubernetes and infrastructure as code Terraform CloudFormation
  • Security Compliance Understanding of secure compliant architectures and access control for ML services
  • Enterprise Data Science Strategy Ability to define and drive a global data science vision embedding agentic AI and semantic models into platforms
  • Semantic Data Mesh Ontologies Deep expertise in semantic data mesh ontologies FIBO ISDA CDM ISO20022 and multiagent frameworks
  • Knowledge Graphs Semantic Stack Proficiency in RDF OWL SPARQL SHACL and experience with knowledge graph databases Neptune Stardog Graph DB
 
Thanks
Ramesh
ramesh.u(at)msrcosmos(dot)com