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Ai Ml Data Analyst Jobs (NOW HIRING)

The Role Our Product Safety Data Analytics team is seeking an experienced AI/ML Data Scientist with hands-on experience in the full end to end data science lifecycle for artificial intelligence ...

Project Overview We are currently hiring AI/ML Data Contributors to support a range of active and ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

Project Overview We are currently hiring AI/ML Data Contributors to support a range of active and ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

Project Overview We are currently hiring AI/ML Data Contributors to support a range of active and ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

Project Overview We are currently hiring AI/ML Data Contributors to support a range of active and ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

Project Overview We are currently hiring AI/ML Data Contributors to support a range of active and ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

Project Overview We are currently hiring AI/ML Data Contributors to support a range of active and ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

Project Overview We are currently hiring AI/ML Data Contributors to support a range of active and ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

The Role Our Product Safety Data Analytics team is seeking an experienced AI/ML Data Scientist with hands-on experience in the full end to end data science lifecycle for artificial intelligence ...

Project Overview We are currently hiring AI/ML Data Contributors to support a range of active and ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

Project Overview We are currently hiring AI/ML Data Contributors to support a range of active and ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

Project Overview We are currently hiring AI/ML Data Contributors to support a range of active and ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

Project Overview We are currently hiring AI/ML Data Contributors to support a range of active and ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

Project Overview We are currently hiring AI/ML Data Contributors to support a range of active and ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

Project Overview We are currently hiring AI/ML Data Contributors to support a range of active and ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

Project Overview We are currently hiring AI/ML Data Contributors to support a range of active and ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

Project Overview We are currently hiring AI/ML Data Contributors to support a range of active and ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

Project Overview We are currently hiring AI/ML Data Contributors to support a range of active and ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

Project Overview We are currently hiring AI/ML Data Contributors to support a range of active and ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

Project Overview We are currently hiring AI/ML Data Contributors to support a range of active and ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

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Ai Ml Data Analyst information

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$34K

$82.6K

$136K

How much do ai ml data analyst jobs pay per year?

As of Aug 10, 2026, the average yearly pay for ai ml data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What is the difference between Ai Ml Data Analyst vs Data Scientist?

AspectAi Ml Data AnalystData Scientist
Required SkillsData analysis, machine learning basics, programming (Python/R), data visualizationAdvanced statistical modeling, machine learning, programming, data engineering
CertificationsData analysis, machine learning certifications, Python/R coursesData science certifications, advanced machine learning courses
Work EnvironmentBusiness analytics teams, data-driven departmentsResearch teams, data science departments, R&D
Industry UsageBusiness intelligence, product analytics, marketingPredictive modeling, research, complex data projects

While both roles involve working with data and machine learning, Ai Ml Data Analysts focus on applying machine learning techniques to analyze data and support business decisions. Data Scientists typically handle more complex modeling, research, and development of new algorithms, often requiring deeper statistical expertise.

What is an AI/ML data analyst?

An AI/ML Data Analyst is a professional who specializes in analyzing large sets of data to extract insights, with a focus on leveraging artificial intelligence (AI) and machine learning (ML) techniques. They clean, process, and interpret data, often using statistical and computational methods to build predictive models or automate data-driven decisions. These analysts typically work with programming languages like Python or R, and use tools such as SQL, machine learning libraries, and data visualization platforms. Their work helps organizations make informed decisions, optimize processes, and improve products or services through data-driven insights.

What are the key skills and qualifications needed to thrive as an AI/ML data analyst?

To thrive as an AI/ML Data Analyst, you need strong analytical skills, proficiency in statistics, and a background in computer science or a related field, often supported by a relevant degree. Familiarity with programming languages like Python or R, experience with machine learning libraries (e.g., scikit-learn, TensorFlow), and knowledge of data visualization tools are typically required. Excellent problem-solving abilities, attention to detail, and effective communication skills help you interpret data insights and explain complex findings to stakeholders. These competencies are crucial for extracting actionable insights from data and driving informed business decisions in technology-driven environments.

What are some common challenges AI/ML data analysts face when working with large and complex datasets?

AI/ML Data Analysts often encounter challenges such as handling unstructured or incomplete data, ensuring data quality, and managing the volume and variety of information. Cleaning and preprocessing data to make it suitable for modeling can be time-consuming and requires attention to detail. Additionally, collaborating with data engineers and machine learning engineers is essential to streamline data pipelines and ensure that insights are both actionable and reliable.

What is the salary of data analyst in AI ML?

The salary of an AI/ML Data Analyst typically ranges from $60,000 to $110,000 annually, depending on experience, location, and skill set. Professionals with expertise in machine learning tools, programming languages like Python or R, and data visualization may earn higher salaries.
More about Ai Ml Data Analyst jobs
What cities are hiring for Ai Ml Data Analyst jobs? Cities with the most Ai Ml Data Analyst job openings:
What states have the most Ai Ml Data Analyst jobs? States with the most job openings for Ai Ml Data Analyst jobs include:
Infographic showing various Ai Ml Data Analyst job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

AI/ML Data Scientist (GPSSC)

General Motors

Warren, MI • On-site

Full-time

Re-posted 13 days ago


General Motors rating

8.2

Company rating: 8.2 out of 10

General Motors

Based on 306 frontline employees who took The Breakroom Quiz

7.4

Company rating compared to similar companies: 7.4 out of 10

Automakers average

Based on 6,273 frontline employees who took The Breakroom Quiz


Job description

Job Description

At General Motors, our product teams are redefining mobility. Through a human-centered design process, we create vehicles and experiences that are designed not just to be seen, but to be felt. We're turning today's impossible into tomorrow's standard -from breakthrough hardware and battery systems to intuitive design, intelligent software, and next-generation safety and entertainment features.

Every day, our products move millions of peopleas we aim to makedriving safer, smarter, and more connected, shaping the future of transportation on a global scale..

The Role

Our Product Safety Data Analytics team is seeking an experienced AI/ML Data Scientist with hands-on experience in the full end to end data science lifecycle for artificial intelligence & machine learning.

This role requires programming and statistical techniques to solve complex problems and work within a team framework on new AI/ML solutions.

If you're passionate about driving innovation through AI/ML and have experienced delivering solutions to your customers, this role offers an exciting opportunity to contribute to impactful projects in a dynamic team environment.


As an AI/ML Data Scientist, you will be responsible for working with our customers to understand their challenges and needs, develop new machine learning solutions, work with ML Ops in a cloud environment, develop proof of concepts for new generative AI solutions and Agentic AI solutions.

What You'll Do

  • Work with our existing business partners to identify opportunities for new AI/ML solutions to enhance processes and enable our team members to be more efficient

  • Train new machine learning models to solve complex business problems.

  • Prototype new AI solutions, including Generative AI, to solve business problems.

  • Develop new Agentic AI solutions to streamline business process

  • Ehnance existing model solutions as business and technology continues to evolve

  • Provide guidance on business problems using statistical methods and can craft ad-hoc reports to share findings and recommendations with business partners.

  • Build statistical models that depict company-wide trends.

  • Perform testing and validation of data sets.

  • Work on and refine storytelling skills to convey ideas and results to leadership, customers and stakeholders

Your Skills & Abilities (Required Qualifications)

  • Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field

  • 5+ years of experience in machine learning, engineering, data science, or a related field

  • Looking for experience in the following:

    • Programming & Frameworks: Python, R, Java, PySpark, PyTorch, TensorFlow, Scikit-learn, LangChain, SQL

    • Machine Learning & AI: Large Language Models (LLMs), Generative AI, RAG, Generative AI, Deep learning, Reinforcement Learning, Natural Language Processing (NLP), SVM, XGBoost, Random Forest, Decision Trees, Clustering

    • Data Engineering: Databricks, Hadoop, SQL, Data Pipelines, Data Preprocessing & Feature Engineering

    • Cloud & Big Data Platforms: (Preferred Microsoft Azure (Data Lake, Machine Learning, Databricks), Nice to Have (AWS (S3, SageMaker, Bedrock) or Google Cloud Platform (BigQuery, Dataflow, AI Platform) )

    • Deployment & MLOps: MLflow, Model Monitoring & Versioning, Docker & Kubernetes, GitHub, Jira

    • Data Analysis & Visualization: Tableau, PowerBI, Pandas, NumPy

  • Proven track record delivering AI/ML solutions to customers that get continued usage and drive value

  • Excellent communication and collaboration skills, with the ability to work effectively in a team environment

  • Strong problem-solving mindset and a proactive attitude towards learning and self-improvement

What Will Give You A Competitive Edge (Preferred qualifications)

  • Deep knowledge of GM's Data Ecosystem

  • Deep knowledge of GM's Cloud Technology Stack for Data Science

  • Deep knowledge of Global Product Safety's SFI Process

  • Extensive NLP solutions from business problem statement to deployment and ongoing optimization

  • Expertise with Large Language Models solutions from business problem statement to cloud deployment that have provided significant incremental business value

  • Experience with generative AI solutions that you have developed and deployed into a production environment that have provided significant incremental business value

GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc). This role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week {or other frequency dictated by their manager}. This job may be eligible for relocation benefits.

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us

We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Benefits Overview

From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

Non-Discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.

Accommodations

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.


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About General Motors

Sourced by ZipRecruiter

General Motors is a company with global scale and capabilities, headquartered in Detroit, Michigan, with employees around the world. The company employs over 165,000 people, serves six continents, operates across 22 time zones, and has a diverse workforce speaking 75 languages1. GM’s vision is to drive the world forward by pioneering innovations that move and connect people to what matters. The company is working towards an all-electric future with its new Ultium Platform and is pushing transportation options beyond our wildest imaginations with autonomous vehicles. GM is also committed to becoming the most inclusive company in the world.

Industry

Transportation equipment manufacturing

Company size

10,000+ Employees

Headquarters location

Detroit, MI, US

Year founded

1908