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Senior Ai Data Scientist Jobs (NOW HIRING)

Our client is seeking an AI Data Scientist for a direct hire opportunity in North Phoenix, AZ or Hillsboro, OR. This role sites onsite 4 days a week and 1 day will be remote. The AI Data Scientist ...

Job Summary Are you passionate about using AI, data science and digital innovation to transform quality operations and accelerate scientific decision-making? IFF is a global leader in flavors ...

Hi, Title: AI Data Scientist This is an onsite role in San Jose, CA. Locals Only Technical Requirement: Candidates must have extensive hands-on experience with Lang Graph & Langchain. During the ...

AI Data Scientist: At B&A, we foster and embrace a distinct set of values that we live by and instill in all aspects of our organization: dedication, commitment, partnership, trust, and recognition.

Description AI Data Scientist: At B&A, we foster and embrace a distinct set of values that we live by and instill in all aspects of our organization: dedication, commitment, partnership, trust, and ...

AI Data Scientist: At B&A, we foster and embrace a distinct set of values that we live by and instill in all aspects of our organization: dedication, commitment, partnership, trust, and recognition.

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 ...

AI Data Scientist Duration : 9 months Telecommute : yes Travel : no Primary Responsibilities: • Able to write a concept paper can take it from idea to implementation • Partner with Engineering ...

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 ...

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 ...

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 ...

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Senior Ai Data Scientist information

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$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.
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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.

AI Data Scientist

Prosum Inc.

Phoenix, AZ • On-site

Other

Posted 26 days ago


Job description

Job Description
Our client is seeking an AI Data Scientist for a direct hire opportunity in North Phoenix, AZ or Hillsboro, OR. This role sites onsite 4 days a week and 1 day will be remote.
The AI Data Scientist will focus on developing state-of-the-art Automated Defect Classification (ADC) and Die-to-Database (DB) comparison algorithms, transforming advanced mathematical modeling into real-world industrial intelligence.
ESSENTIAL DUTIES AND RESPONSIBILITIES
Algorithm & Model Development
  • Design, train, and optimize deep learning and computer vision models for automated defect detection and classification.
  • Develop object detection and image classification algorithms to identify micro-scale defects such as particles, scratches, and pattern anomalies.
Die-to-Database (DB) Comparison
  • Develop high-precision image registration, geometric alignment, and image matching algorithms to compare captured optical images against CAD database layouts.
  • Improve alignment accuracy and robustness under varying imaging conditions.
Advanced Data Analytics
  • Apply statistical modeling, signal processing, denoising, and feature extraction techniques to improve image quality and inspection accuracy.
  • Analyze large, noisy datasets to optimize signal-to-noise ratio and model performance.
Model Development & Continuous Improvement
  • Evaluate model performance using real-world inspection data and analyze edge cases.
  • Improve model accuracy through iterative training, active learning, and few-shot learning techniques.
  • Collaborate with software engineers, field application teams, and domain experts to deploy and validate production-ready AI models.
Miscellaneous Responsibilities
  • Document algorithms, experiments, and model performance results.
  • Participate in code reviews, technical discussions, and knowledge sharing.
  • Assist with data preparation, annotation, validation, and quality assurance.
  • Stay current with advances in computer vision, machine learning, and AI technologies.
  • Collaborate with cross-functional teams to support product development and model deployment.
  • Perform other duties as assigned.

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