ZipRecruiter

Log In

1

Senior Ai Data Scientist Jobs (NOW HIRING)

Charles Schwab

Senior Data Scientist

Austin, TX · On-site

Schwab's AI & Data Science organization helps shape the future of client and employee experiences through advanced analytics, machine learning, and generative AI. As a Senior AI & Data Scientist, you ...

T Rowe Price

AI Data Scientist

Manhattan, NY · Hybrid

At T. Rowe Price, our Data Scientists develop the analytics and AI solutions that drive better ... from senior team members. * Develop robust Python notebooks, jobs, and pipelines (using pandas ...

YO AI Labs

AI Data Scientist - Remote

New York, NY · Remote

AI Data Science Domain Expert Job Type: Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative ...

Carlyle

Data & AI Engineer

Washington, DC · Hybrid

$129K - $155K/yr

... senior individual-contributor engineering role that executes against architectural standards, contributes to their evolution through hands-on learning, and partners closely with data science, AI ...

Carlyle

Data & AI Engineer

New York, NY · On-site

$125K - $150K/yr

... senior individual-contributor engineering role that executes against architectural standards, contributes to their evolution through hands-on learning, and partners closely with data science, AI ...

Carlyle

Data & AI Engineer

New York, NY · Hybrid

$125K - $150K/yr

... senior individual-contributor engineering role that executes against architectural standards, contributes to their evolution through hands-on learning, and partners closely with data science, AI ...

GDIT

AI Data Scientist

Los Angeles, CA · On-site +1

Data Science and Data Engineering Job Qualifications: Skills: AI Systems, Big Data, Datasets ... Senior level Required Skills: * Experience in RetrievalAugmented Generation (RAG) design ...

GDIT

AI Data Scientist

Bossier City, LA · On-site +1

Data Science and Data Engineering Job Qualifications: Skills: AI Systems, Big Data, Datasets ... Senior level Required Skills: * Experience in RetrievalAugmented Generation (RAG) design ...

KSA Integration

Senior AI Data Analyst

VA · On-site

$145K - $170K/yr

The Senior AI Data Analyst serves as the lead analyst and on-site coordinator at the Pentagon ... Master's Degree in Data Science, Computer Science, Operations Research, Applied Mathematics, or a ...

KSA Integration

Senior AI Data Analyst

Stafford, VA · On-site

$145K - $170K/yr

The Senior AI Data Analyst serves as the lead analyst and on-site coordinator at the Pentagon ... Master's Degree in Data Science, Computer Science, Operations Research, Applied Mathematics, or a ...

previous pagenext page

Showing results 21-40

All JobsAi Data Scientist JobsSenior Ai Data Scientist Jobs

Senior Ai Data Scientist information

See salary details

$41.5K

$142.5K

$201K

How much do senior ai data scientist jobs pay per year?

As of Sep 2, 2026, the average yearly pay for senior ai data scientist in the United States is $142,460.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,500.00 and $166,500.00 per year, depending on experience, location, and employer.

What does a senior AI data scientist do?

A Senior AI Data Scientist leads the development and implementation of advanced artificial intelligence and machine learning models to solve complex business problems. They analyze large datasets, design algorithms, and work closely with cross-functional teams to deliver actionable insights and deploy AI solutions. Additionally, they often mentor junior data scientists, ensure best practices in data science workflows, and stay updated on the latest advancements in AI technologies.

What are the key skills and qualifications needed to thrive as a senior AI data scientist?

To thrive as a Senior AI Data Scientist, you need advanced expertise in machine learning, statistical analysis, and programming languages such as Python or R, typically supported by a graduate degree in a quantitative field. Familiarity with deep learning frameworks (like TensorFlow or PyTorch), cloud computing platforms, and experience with big data systems are highly valued, along with certifications in data science or AI. Strong problem-solving abilities, leadership, and communication skills help you translate complex technical insights into actionable business strategies and mentor junior team members. These competencies are essential for delivering impactful AI solutions that drive organizational value and innovation.

How does a senior AI data scientist typically collaborate with cross-functional teams on AI projects?

As a Senior AI Data Scientist, you will frequently work alongside engineers, product managers, and business stakeholders to translate business objectives into actionable AI solutions. You’ll be responsible for communicating complex technical concepts in accessible terms, ensuring alignment on project goals, and integrating feedback from multiple disciplines. Effective collaboration is key, as you’ll guide junior data scientists, contribute to model deployment with engineers, and help refine requirements with product teams to create impactful AI-driven products.

What is the difference between Senior Ai Data Scientist vs Data Analyst?

AspectSenior Ai Data ScientistData Analyst
Required CredentialsAdvanced degrees in AI, Data Science, or related fields; experience with machine learning and AI toolsBachelor's or Master's in Data Analysis, Statistics, or related fields; proficiency in data visualization and SQL
Work EnvironmentDevelops AI models, algorithms, and machine learning systems; often in R&D or AI-focused teamsAnalyzes data sets, generates reports, and supports decision-making processes
Employer & Industry UsageTech companies, AI startups, research institutionsBusiness, finance, marketing, healthcare sectors

In summary, a Senior Ai Data Scientist focuses on developing advanced AI models and algorithms, requiring specialized skills in machine learning and AI technologies. In contrast, a Data Analyst primarily interprets data, creates reports, and supports business decisions with less emphasis on AI development.

How much do senior AI Data Scientists make?

Senior AI Data Scientists typically earn between $100,000 and $150,000 annually, with salaries varying based on experience, location, and industry. They often have expertise in machine learning, deep learning, and data analysis tools, and may receive bonuses or stock options depending on the company.
More about Senior Ai Data Scientist jobs

What cities are hiring for Senior Ai Data Scientist jobs?

Cities with the most Senior Ai Data Scientist job openings:

What are the most commonly searched types of Ai Data Scientist jobs?

The most popular types of Ai Data Scientist jobs are:

What states have the most Senior Ai Data Scientist jobs?

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

What job categories do people searching Senior Ai Data Scientist jobs look for?

The top searched job categories for Senior Ai Data Scientist jobs are:

Senior Ai Data Scientist jobs near you
Infographic showing various Senior Ai Data Scientist 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 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $142,460 per year, or $68.5 per hour.

Senior AI Engineer / Data Scientist

Koantek

Chandler, AZ • Remote

Contractor

Re-posted 11 days ago

Job description

Senior AI Engineer / Data Scientist (Consulting) Location: United States (Remote) Employment Type: Full-Time / Contract Experience Level: Senior About the Role: We are seeking an experienced, highly technical Senior AI Engineer / Data Scientist to join our customer-facing consulting team. This remote role requires a unique blend of advanced Machine Learning (ML) expertise, deep knowledge of MLOps principles, and a proven track record in client-facing implementation. You will design, deploy, and maintain production-grade ML solutions, including advanced Generative AI and NLP models, for our diverse client base.

Key Responsibilities: * Technical Consulting: Lead end-to-end ML implementations directly with clients, translating business problems into robust technical solutions. * MLOps and Pipelines: Design, build, and maintain production-grade ML pipelines with a strong focus on CI/CD, automation, and scalability. * GenAI and NLP Deployment: Implement and optimize cutting-edge Generative AI applications (such as LLMs and RAG) in live production settings.

* Infrastructure and Data Scale: Manage underlying infrastructure using Docker, pipeline orchestrators, and distributed computing frameworks like Apache Spark. * Stakeholder Management: Clearly communicate technical findings, proposals, and project status to both technical and non-technical audiences. Required Qualifications: * 4+ years of professional experience developing, deploying, and maintaining ML models in a live production environment (Mandatory).

* 3+ years of experience in a customer-facing consulting or Solutions Architect role. * Strong expertise in the MLOps lifecycle (model versioning, testing, monitoring, and automated deployment). * Solid hands-on experience with containerization (Docker) and data pipeline orchestration.

* Proven track record of deploying Generative AI and NLP solutions for client applications. * Excellent verbal and written communication skills. Preferred Qualifications: * Hands-on experience with modern ML platform stacks, specifically Databricks MLOps Stacks.

* Deep knowledge of large-scale data processing and distributed machine learning techniques. * A strong commitment to continuous learning in emerging ML fields and GenAI application architectures.

Apply