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Ai Data Science Jobs (NOW HIRING)

T Rowe Price

Sr AI Data Scientist

Manhattan, NY · Hybrid

Position is available in our New York City office or at our brand-new AI Data Science squad at our new Baltimore, MD Harbor Point location. Both locations offer the opportunity to collaborate with ...

Apex Informatics

AI Data Scientist

Role Title: AI Data Scientist Duration : 9 months Telecommute : yes Travel : no Primary ... science: data analysis, algorithm design, model architecture specification, machine learning ...

Medtronic

Sr AI/Data Science Engineer

Boston, MA · On-site

$124K - $149K/yr

They are seeking a Senior AI/Data Science Engineer to develop and program software algorithms, analyze data, and improve product performance using advanced statistical techniques. Responsibilities ...

System One

Be Seen First

Data Scientist (AI)

Washington, DC · Remote

$125K - $190K/yr

AI Data Scientist REMOTE US Citizen What You Will Need: * Bachelor's or Master's degree in Data ... Solid experience in data science, machine learning, or applied analytics roles * Experience ...

Hp

AI Data Scientist

Spring, TX

$130K - $205K/yr

AI Data Scientist Description - About the Position The HP Enterprise AI & Machine Learning ... Represents the data science team for all phases of larger and more-complex development projects.

Data Direct Networks

CA

Key Responsibilities Data Science & Analytics * Develop machine learning and AI solutions to solve business and operational challenges. * Design, build, validate, and deploy models for forecasting ...

Data Direct Networks

CA

Key Responsibilities Data Science & Analytics * Develop machine learning and AI solutions to solve business and operational challenges. * Design, build, validate, and deploy models for forecasting ...

GDIT

AI Data Scientist

Bossier City, LA · On-site +1

Data Science and Data Engineering Job Qualifications: Skills: AI Systems, Big Data, Datasets Certifications: None Experience: 2 + years of related experience US Citizenship Required: No Own your ...

GDIT

AI Data Scientist

Los Angeles, CA · On-site +1

Data Science and Data Engineering Job Qualifications: Skills: AI Systems, Big Data, Datasets Certifications: None Experience: 2 + years of related experience US Citizenship Required: No Own your ...

Gamma

AI Data Scientist

San Francisco, CA · On-site

A clear perspective on how agentic coding is transforming the data science role, and genuine excitement about applying AI to your own work (Nice to have) Compensation range: The base salary for this ...

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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.
Sr AI Data Scientist

Sr AI Data Scientist

T Rowe Price

Manhattan, NY • Hybrid

Other

Posted 12 days ago

T. Rowe Price rating

9.1

Company rating: 9.1 out of 10

Based on 21 frontline employees who took The Breakroom Quiz

Job description

About the Team

Are you a curious problem solver who asks great questions and loves collaborating across disciplines?At T. Rowe Price, Data Scientists build the analytics and AI that power better investment decisions. Position is available in our New York City office or at our brand-new AI Data Science squad at our new Baltimore, MD Harbor Point location. Both locations offer the opportunity to collaborate with top talent, drive innovation, and make a real impact in asset management. If you're a handson leader who cares about people as much as technology, we'd love to talk.

Role Summary

This is a handson, endtoend lead role-from discovery to production. As a team leader, you will think creatively and scale modern AI/Data Science practices on Databricks, set team standards, and drive collaborative delivery. T. Rowe Labs is focused on building the firm's nextgeneration data and AI platform, aiming to seamlessly deliver ondemand MLpowered insights across our firm.

Responsibilities

  • Contribute to the full data & model lifecycle: problem framing, EDA, feature engineering, modeling, evaluation, deployment, and monitoring.

  • Develop production solutions in Python (pandas, PySpark) on Databricks (Delta Lake, Unity Catalog, MLflow, Workflows/Jobs); apply CI/CD and reproducible experiments.

  • Employ automated testing for code, data, and models (unit tests, data validation, drift/bias checks); ensure repeatable pipelines.

  • Identify and address data/model technical debt; improve schemas, data contracts, and performance/cost.

  • Deliver welldefined work items; clarify requirements through thoughtful questions and proposals.

  • Mentor data scientists and engineers; lead code/design reviews and foster a collaborative culture.

  • Own the quality, maintainability, security, governance, and total cost of ownership of delivered solutions.

  • Help shape elements of the data/ML platform strategy and drive execution within your domain.

  • Balance strategic and pragmatic concerns; proactively surface risks and resolve issues.

Qualifications

Required:

  • BS/MS in a quantitative field (CS, Statistics, Applied Math, Engineering, Economics) or equivalent; 5+ years in data science/ML.

  • Experience with automated pipelines, testing for data/models, and model lifecycle management (registry, versioning, monitoring).

  • Solid understanding of cloudnative architectures (AWS).

  • Excellent communication and collaboration skills; adept at asking incisive questions and aligning diverse stakeholders.

Preferred:

  • Experience with AI/GenAI (LLMs, RAG, prompt design/evaluation).

  • Strong Python and Spark expertise; handson Databricks experience (Delta Lake, Unity Catalog, MLflow, Jobs/Workflows).

  • Timeseries/NLP experience; BI/analytics tooling (Databricks SQL, Tableau/Power BI, dbt).

  • A solid understanding of financial markets and instruments.

  • Commitment to quality via unit/integration tests, data validation, documentation, and code review.

Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States (e.g., H1-B visa, F-1 visa (OPT), TN visa or any other non-immigrant work status.

FINRA Requirements

FINRA licenses are not required and will not be supported for this role.

Work Flexibility

This role is eligible for hybrid work, with up to three days per week from home.

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