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Ai Data Science Jobs (NOW HIRING)

Mercor

Data Science Expert - Fully Remote

New York, NY · Remote

$70 - $100/hr

Expert Professionals -- AI & Data Science Type: Contract Compensation: $70-$100/hour Location: Remote Commitment: 40 hours/week Role Responsibilities * Guide research and engineering teams to close ...

IntraEdge

AI Data Engineer

Detroit, MI

$113K - $136K/yr

Collaborate with data scientists and ML engineers to prepare, integrate, and manage large-scale ... Deploy AI models: Automate the training and deployment of AI/ML models into production via APIs and ...

Fannie Mae

Data Science Advisor

Washington, DC

You will apply expertise in data science, machine learning, AI, large-scale data processing, computational programming, and practical problem solving, while clearly explaining technical solutions to ...

Deloitte

Palantir AI and Data Science Engineer

Huntsville, AL · On-site

$112K - $135K/yr

Work you'll do As an AI and Data Science Engineer on the AI & Data team, you will be responsible for... * Design and engineer secure, automated data pipelines from authoritative source systems into a ...

Deloitte

Palantir AI and Data Science Engineer

Rosslyn, VA · On-site

$130K - $156K/yr

Work you'll do As an AI and Data Science Engineer on the AI & Data team, you will be responsible for... * Designing modern data architecture, data pipelines, and workflows using Palantir Foundry and ...

Deloitte

Palantir AI and Data Science Engineer

Huntsville, AL · On-site

$112K - $135K/yr

Work you'll do As an AI and Data Science Engineer on the AI & Data team, you will be responsible for... * Designing modern data architecture, data pipelines, and workflows using Palantir Foundry and ...

Future Secure AI

$111K - $134K/yr

About the Role As a Senior AI Engineer - Data Science , you will be a key technical leader within our advanced analytics and AI group. You will design, build, and deploy sophisticated machine ...

Globe Telecom, Inc.

Data Science Manager

Globe, AZ · On-site

Join our Finance AI task force as a Data Science Lead and spearhead our data analytics strategy. If you thrive on creating impactful solutions and mentoring a dynamic team, this role is for you! What ...

Unissant

AI Data Scientist

Ashburn, VA · On-site

We are seeking a AI Data Scientist to join our team and support our federal customer. This role ... Advocate for data science and analytics principles/best-practices in design/requirements ...

UNISSANT

AI Data Scientist

Ashburn, VA · On-site

We are seeking a AI Data Scientist to join our team and support our federal customer. This role ... Advocate for data science and analytics principles/best-practices in design/requirements ...

Carlyle

Data & AI Engineer

Washington, DC · On-site

$129K - $155K/yr

Partner with Data Science and AI Engineering teams to operationalize feature stores, evaluation datasets, and reusable AI data products. * Contribute to semantic and context engineering work that ...

Unissant, Inc.

AI Data Scientist

Ashburn, VA · On-site

We are seeking a AI Data Scientist to join our team and support our federal customer. This role ... Advocate for data science and analytics principles/best-practices in design/requirements ...

Unissant

AI Data Scientist

Ashburn, VA · On-site

We are seeking a AI Data Scientist to join our team and support our federal customer. This role ... Advocate for data science and analytics principles/best-practices in design/requirements ...

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All JobsAi Data Science Jobs

Ai Data Science information

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$37.5K

$122.7K

$196.5K

How much do ai data science jobs pay per year?

As of Jul 1, 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 a $900,000 AI job?

A $900,000 AI job typically refers to high-level roles in artificial intelligence, such as AI executives, senior data scientists, or machine learning directors, often requiring advanced skills, extensive experience, and sometimes equity or performance bonuses. These positions are usually found in large tech companies or organizations investing heavily in AI development and may involve leadership, strategic planning, and specialized technical expertise.

Which 3 jobs will survive AI?

AI Data Science professionals are likely to continue thriving as demand for expertise in machine learning, data analysis, and AI model development grows. Roles that require complex problem-solving, creativity, and domain-specific knowledge, such as AI engineers, data scientists, and AI ethics specialists, are expected to persist despite automation. These jobs often involve skills in programming, statistical analysis, and understanding AI tools like Python and TensorFlow.

Can AI do data science jobs?

AI can assist with many data science tasks such as data analysis, pattern recognition, and predictive modeling, but it does not fully replace the need for human data scientists. Data science roles typically require skills in programming, statistics, and domain knowledge, with AI tools serving as support for automating routine tasks. Human oversight remains essential for interpreting results and making strategic decisions.

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.

Is AI data science a good career?

AI Data Science is a growing field with high demand for skills in machine learning, programming, and data analysis. It offers competitive salaries, opportunities for advancement, and the chance to work on innovative projects across various industries. Success typically requires strong technical skills, continuous learning, and proficiency with tools like Python, R, and cloud platforms.

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.
More about Ai Data Science jobs
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:
What job categories do people searching Ai Data Science jobs look for? The top searched job categories for Ai Data Science jobs are:
Ai Data Science jobs near you
Infographic showing various Ai Data Science job openings in the United States as of June 2026, with employment types broken down into 71% Full Time, 20% Part Time, 8% Contract, and 1% Nights. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.
Data Science Expert - Fully Remote

Data Science Expert - Fully Remote

Mercor

New York, NY • Remote

$70 - $100/hr

Full-time

Posted 12 days ago

Job description

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position: Expert Professionals — AI & Data Science
Type: Contract
Compensation: $70–$100/hour
Location: Remote
Commitment: 40 hours/week

Role Responsibilities

  • Guide research and engineering teams to close knowledge gaps in AI and data science domains. Surface nuances that distinguish expert-level work from surface-level reasoning.
  • Design challenging agentic tasks rooted in real-world ML, data science, data engineering, and software workflows. Write accurate, well-documented solutions that serve as ground truth.
  • Evaluate AI agent outputs against your solutions. Provide detailed written feedback capturing correctness, efficiency, and reasoning quality.
  • Develop and refine evaluation frameworks and rubrics for assessing agentic behavior on AI and data science tasks.
  • Collaborate with other subject matter experts to ensure consistency and accuracy in training data.

Qualifications

Must-Have

  • 3+ years of research, academic, or industry experience in Machine Learning, Data Science, Software Engineering, Computer Science, Statistics, Biology, Electrical/Mechanical/Civil Engineering, Physics, Chemistry, Mathematics, Materials Science, or other STEM background.
  • Demonstrated technical expertise in programming, data analysis, ML modeling, statistical methods, or computational methods.
  • Ability to commit to 40 hours per week during weekdays for the duration of the engagement.
  • Strong written communication skills and the ability to explain technical decisions clearly.

Preferred

  • Prior experience with data annotation, labeling, evaluation, or human feedback collection.
  • Experience with LLMs, AI systems, or agentic workflows; familiarity with agentic frameworks.

Application Process (Takes 20–30 mins to complete)

  • Upload resume
  • AI interview based on your resume
  • Submit form

Resources & Support

  • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
  • For any help or support, reach out to: support@mercor.com

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.