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Ai Data Science Jobs (NOW HIRING)

Intel

Senior AI / Data Science Engineer

Phoenix, AZ

$105K - $143K/yr

As a Senior AI / Data Science Engineer in the MDCE Data Science organization, you will play a critical role in shaping the future of AI-driven semiconductor manufacturing. You will lead the ...

Intel

Senior AI / Data Science Engineer

Hillsboro, OR

$115K - $156K/yr

As a Senior AI / Data Science Engineer in the MDCE Data Science organization, you will play a critical role in shaping the future of AI-driven semiconductor manufacturing. You will lead the ...

Exelixis, Inc.

Senior AI Data Scientist I

Alameda, CA · On-site

$143.50 - $203/hr

This position exists to advance the organization's AI/ML and data science capabilities across clinical development - collaborating with Statistical Programming, Clinical Data Management, and Clinical ...

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How much do ai data science jobs pay per year?

As of Aug 12, 2026, the average yearly pay for ai data science 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 Ai Data Science vs Data Analyst?

AspectAi Data ScienceData Analyst
Required CredentialsDegree in Data Science, Computer Science, or related fields; knowledge of AI, machine learning, programmingDegree in Statistics, Mathematics, or related fields; proficiency in data visualization and analysis tools
Work EnvironmentTech companies, AI-focused firms, research labs; often involves programming and model developmentBusiness environments, consulting firms; focuses on data interpretation and reporting
Employer & Industry UsageUsed in AI development, predictive modeling, automation projectsUsed in business intelligence, reporting, and data-driven decision making

Ai Data Science and Data Analyst roles share overlapping skills like data handling and analysis, but Ai Data Science emphasizes AI and machine learning model development, while Data Analysts focus on interpreting data for business insights. Both roles are vital in data-driven industries but serve different functions within organizations.

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

To thrive as an AI Data Scientist, you need strong skills in statistics, machine learning, programming (often Python or R), and a relevant degree in data science, computer science, or a related field. Familiarity with tools like TensorFlow, PyTorch, SQL, and cloud platforms, as well as certifications in data science or AI, are often expected. Critical thinking, curiosity, and effective communication are vital for interpreting complex data and collaborating with cross-functional teams. These skills and qualities enable the development of impactful AI solutions, accurate data-driven insights, and successful project delivery.

What is AI data science?

AI Data Science is a multidisciplinary field that combines artificial intelligence (AI), statistics, and computer science to extract meaningful insights from large and complex datasets. Professionals in this field use machine learning algorithms, data analysis techniques, and domain knowledge to solve real-world problems, build predictive models, and automate decision-making processes. AI Data Scientists often work with big data, develop and train AI models, and interpret results to help organizations make data-driven decisions.

How do AI data scientists typically collaborate with cross-functional teams during a project?

AI Data Scientists frequently work alongside software engineers, data engineers, product managers, and domain experts to develop and implement machine learning solutions. They are often responsible for translating business objectives into data-driven models, communicating technical findings in accessible terms, and iterating on models based on feedback from stakeholders. This collaborative environment requires strong communication skills and flexibility, as project requirements and data sources may evolve throughout the development cycle.
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What cities are hiring for Ai Data Science jobs? Cities with the most Ai Data Science job openings:
What states have the most Ai Data Science jobs? States with the most job openings for Ai Data Science jobs include:
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Ai Data Science jobs near you
Infographic showing various Ai Data Science 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.

Senior AI / Data Science Engineer

Intel Corporation

Phoenix, AZ • On-site

$105K - $143K/yr

Full-time

Medical, Retirement, PTO

Posted 12 days ago

Intel rating

8.7

Company rating: 8.7 out of 10

Based on 147 frontline employees who took The Breakroom Quiz

19th of 157 rated electronics manufacturers

Job description

Job Details:
Job Description:
Join Intel and build a better tomorrow.
Manufacturing Development Customer Engineering (MDCE) is Intel's newest organization within Intel Foundry Technology Manufacturing (FTM). We bridge the critical gap between Technology Development (TD) and High Volume Manufacturing (HVM), accelerating technology readiness, manufacturing maturity, yield improvement, and operational excellence across Intel's product and foundry ecosystem. MDCE partners across engineering organizations to transform manufacturing insights into scalable production solutions that enable Intel's foundry strategy and future growth.
As a Senior AI / Data Science Engineer in the MDCE Data Science organization, you will play a critical role in shaping the future of AI-driven semiconductor manufacturing. You will lead the development, deployment, and adoption of advanced Artificial Intelligence (AI), Machine Learning (ML), and Generative AI technologies that accelerate yield learning, improve process optimization, and increase engineering productivity across Intel Foundry.
The successful candidate will combine deep expertise in semiconductor manufacturing analytics, AI/ML methodologies, and software engineering with the ability to influence cross-functional stakeholders and drive innovation at scale.
Key Responsibilities:
  • Lead development of advanced AI, Machine Learning, and Generative AI solutions that address critical semiconductor manufacturing and yield challenges.
  • Drive adoption of AI technologies across MDCE and partner engineering organizations, enabling data-driven decision making and measurable business impact.
  • Develop and deploy Large Language Model (LLM) and Generative AI applications that improve engineering productivity, accelerate troubleshooting, and enhance knowledge discovery.
  • Analyze large-scale manufacturing datasets to identify yield detractors, process excursions, root causes, and optimization opportunities.
  • Design and implement scalable data pipelines, analytics frameworks, and AI infrastructure that enable robust and sustainable manufacturing analytics.
  • Collaborate closely with Yield Engineering, Process Integration, Manufacturing, and Technology Development teams to solve complex semiconductor challenges.
  • Establish best practices for AI model development, software quality, deployment, monitoring, and lifecycle management.
  • Lead cross-functional technical initiatives and influence strategic AI roadmaps across multiple engineering organizations.
  • Mentor engineers and contribute to the growth of Intel's technical AI and Data Science community.
  • Support Intel Foundry's manufacturing excellence objectives through innovative applications of AI, machine learning, and advanced analytics.

Core Competencies
  • Ability to collaborate effectively within a team setting.
  • Excellent Communication Skills.

Qualifications:
The Minimum qualifications are required to be initially considered for this position. Minimum qualifications listed below would be obtained through a combination of industry relevant job experience, internship experience and / or schoolwork/classes/research. The preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates.
Minimum Qualifications
  • Bachelor's degree in Computer Science, Data Science, Electrical Engineering, Industrial Engineering, Statistics, Applied Mathematics, or in a STEM-related field.
  • 6+ years of industry experience in one or more of the following: Data Science, Machine Learning, Artificial Intelligence, Advanced Analytics. Performing yield analysis, root-cause analysis, process engineering analytics, and Statistical Process Control (SPC).
  • 5+ Years of Semiconductor industry experience with manufacturing, process, and yield-related challenges.
  • Strong programming experience in Python and SQL including developing scalable data pipelines and production-quality analytical solutions.
  • Experience leading cross-functional technical projects and driving business impact through data-driven solutions.

Preferred Qualifications
  • Post graduate degree in Computer Science, Data Science, Electrical Engineering, Industrial Engineering, Statistics, Applied Mathematics, or in a STEM-related field.
  • Experience driving AI transformation initiatives across large engineering organizations.
  • Experience developing Generative AI applications using Retrieval Augmented Generation (RAG) and Agentic AI architectures.
  • Experience deploying AI/ML solutions into production environments.
  • Experience developing APIs and microservices.
  • Semiconductor foundry experience.
  • Background in Yield Engineering, Process Integration, Process Development, or Manufacturing Engineering.
  • Proven track record mentoring engineers and providing technical leadership

Job Type:
Experienced Hire
Shift:
Shift 1 (United States of America)
Primary Location:
US, Arizona, Phoenix
Additional Locations:
US, Oregon, Hillsboro
Posting Statement:
All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.
Position of Trust
N/A
Benefits
We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock bonuses, and benefit programs which include health, retirement, and vacation. Find out more about the benefits of working at Intel.
Annual Salary Range for jobs which could be performed in the US: $136,900.00-269,150.00 USD
The range displayed on this job posting reflects the minimum and maximum target compensation for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific compensation range for your preferred location during the hiring process.
Work Model for this Role
This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. * Job posting details (such as work model, location or time type) are subject to change.
ADDITIONAL INFORMATION: Intel is committed to Responsible Business Alliance (RBA) compliance and ethical hiring practices. We do not charge any fees during our hiring process. Candidates should never be required to pay recruitment fees, medical examination fees, or any other charges as a condition of employment. If you are asked to pay any fees during our hiring process, please report this immediately to your recruiter.

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About Intel

Sourced by ZipRecruiter

Intel strives to make every facet of semiconductor manufacturing state-of-the-art -- from semiconductor process development and manufacturing, through yield improvement to packaging, final test and optimization, and world class Supply Chain and facilities support. Employees in the Technology and Manufacturing Group are part of a worldwide network of design, development, manufacturing, and assembly/test facilities, all focused on utilizing the power of Moore's Law to bring smart, connected devices to every person on Earth

Industry

Manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1968

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