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Ai Data Science Jobs (NOW HIRING)

The Gampel Group

Director, AI & Data Science

Corona, NY · Remote

$180K - $210K/yr

Director of AI & Data Science PE-backed Healthcare SaaS company seeking its first AI leader to build and execute the company's AI strategy. This leader will create the AI roadmap, launch healthcare ...

The Gampel Group

Director, AI & Data Science

Corona, NY · On-site

$180K - $210K/yr

Director of AI & Data Science PE-backed Healthcare SaaS company seeking its first AI leader to build and execute the company's AI strategy. This leader will create the AI roadmap, launch healthcare ...

onsemi

Sr. Manager AI & Data Science

Scottsdale, AZ · On-site

Sr. Manager AI & Data Science We are seeking a visionary and technically strong Senior Manager of AI & Data Science to lead a high-performing team focused on delivering scalable AI/ML solutions ...

onsemi

Sr. Manager AI & Data Science

Scottsdale, AZ · On-site

Sr. Manager AI & Data Science We are seeking a visionary and technically strong Senior Manager of AI & Data Science to lead a high-performing team focused on delivering scalable AI/ML solutions ...

Burlington Stores

AI Data Scientist

Beverly, NJ · On-site

Bachelor's degree in AI, Data Science, Computer Science, or related field * 0-2 years of experience in AI, data analytics, or related technical role * Knowledge in Large Language Models (LLMs ...

Kedrion S.p.A.

Sr. AI & Data Science Analyst

Fort Lee, NJ · On-site

$87K - $110K/yr

Job Summary The Senior AI and Data Science Analyst serves as the driver of AI innovation and advanced data science and analytics within the US Commercial organization. This role leads the design ...

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All JobsAi Data Science Jobs

Ai Data Science information

See salary details

$37.5K

$122.7K

$196.5K

How much do ai data science jobs pay per year?

As of Jun 9, 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, and why are they important?

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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Ai Data Science jobs near you

AI, Data Science & Analytics Consultant

Guru Schools

Richmond, VA • On-site

Full-time

Posted 18 days ago

Job description

Overview:
Job Description
AI, Data Science & Analytics Consultant
Virginia, USA (Remote / Hybrid)
Client: Government of Virginia
Overview
We are looking for an experienced AI, Data Science & Analytics Consultant to support a high-impact government technology initiative. The role focuses on data-driven decision-making, analytics, reporting, and smart technology solutions for utility and operational systems.
Key Responsibilities
  • Analyze operational and business data to generate actionable insights
  • Develop dashboards, reports, and analytics solutions
  • Design data-driven decision support systems
  • Integrate data from multiple enterprise platforms
  • Support forecasting, optimization, and analytical modeling
  • Collaborate with stakeholders to improve system performance
  • Provide documentation, training, and user support
Required Skills
  • Experience in Data Analytics, Business Intelligence, or Data Science
  • Strong knowledge of dashboards, reporting tools, and visualization
  • Experience with enterprise systems and data integration
  • Knowledge of statistical analysis and AI-driven solutions
  • Strong communication and stakeholder management skills
  • Ability to work in fast-paced project environments
Preferred Skills
  • Experience with SCADA, GIS, CMMS, AMI, or utility systems
  • Government or public sector project experience
  • Understanding of utility operations and infrastructure systems
Education
  • Bachelor's degree in IT, Computer Science, Engineering, Data Science, or related field

Skills:
Data Analytics,Data Science,Tableau,Power BI

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