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Ml Data Analyst Jobs (NOW HIRING)

Central Strategies, LLC

$150 - $200/hr

The AI/ML Data Scientist will work closely with business process analysts, automation engineers, enterprise architects, data engineers, mission stakeholders, and program leadership to identify high ...

Central Strategies, LLC

$150 - $200/hr

Engineer reusable data services and curated data products for predictive analytics, generative AI, natural language processing, anomaly detection, and decision-support solutions. * Translate AI/ML ...

Central Strategies, LLC

AI/ML Data Engineer

Washington, DC · On-site

$150 - $200/hr

Engineer reusable data services and curated data products for predictive analytics, generative AI, natural language processing, anomaly detection, and decision-support solutions. * Translate AI/ML ...

General Motors

AI/ML Data Scientist (GPSSC)

Warren, MI · On-site

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 ...

General Motors

Principal TLM - ML Data Infrastructure

$275K - $348K/yr

Collaborate with ML engineers, data scientists, data platform engineers, and product teams to ... Conduct in-depth analysis of existing systems, identifying bottlenecks and opportunities for ...

ClifyX

AI ML Data Scientist

Cary, NC · On-site

ClifyX is a company specializing in data science and analytics, and they are seeking an AI ML Data Scientist. The role requires expertise in predictive modeling and big data analytics, with a focus ...

TSMG

AI/ML Data Contributor

Jackson, MS · Remote

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 ...

TSMG

AI/ML Data Contributor

Birmingham, AL · Remote

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 ...

TSMG

AI/ML Data Contributor

Jackson, MS · Remote

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 ...

TSMG

AI/ML Data Contributor

Jackson, MS

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 ...

TSMG

AI/ML Data Contributor

Indianapolis, IN · Remote

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 ...

TSMG

AI/ML Data Contributor

Fargo, ND · On-site

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 ...

TSMG

AI/ML Data Contributor

Des Moines, IA

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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Ml Data Analyst information

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How much do ml data analyst jobs pay per year?

As of Sep 9, 2026, the average yearly pay for 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 an ML data analyst?

ML Data Analysts are professionals who analyze and interpret data to help machine learning models perform better. They collect, clean, and preprocess data, then use statistical and analytical techniques to extract insights, identify trends, and evaluate model performance. Their work is crucial for improving the accuracy and relevance of machine learning algorithms. They often collaborate with data scientists, engineers, and business teams to turn data into actionable insights.

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

To thrive as an ML Data Analyst, you need strong analytical skills, proficiency in statistics, and experience with data wrangling and visualization, typically supported by a degree in computer science, statistics, or a related field. Familiarity with tools such as Python or R, SQL databases, and machine learning libraries like scikit-learn or TensorFlow, as well as certifications like Google Data Analytics or Microsoft Certified: Data Analyst Associate, is highly beneficial. Critical thinking, attention to detail, and effective communication are crucial soft skills for interpreting data and collaborating with cross-functional teams. These skills ensure accurate data-driven insights, effective model development, and successful translation of complex findings to stakeholders.

How does an ML data analyst typically collaborate with data scientists and engineers on machine learning projects?

As an ML Data Analyst, you’ll often serve as a bridge between raw data and actionable insights for machine learning initiatives. You’ll work closely with data scientists to help prepare, clean, and analyze data, ensuring its quality and relevance for model development. Collaboration with data engineers is also common, as you may help define data requirements and troubleshoot pipeline issues. Regular communication and teamwork are essential, as your analyses and reports directly inform model selection, feature engineering, and project outcomes.

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

AspectML Data AnalystData Scientist
Required CredentialsBachelor's in Data Science, Statistics, or related field; knowledge of machine learning toolsBachelor's or Master's in Data Science, Computer Science, or related; strong statistical and programming skills
Work EnvironmentData analysis teams, business units, using analytics tools and machine learning modelsResearch teams, data labs, developing models and algorithms for complex data problems
Employer & Industry UsageTech companies, finance, healthcare, retail; focused on applying machine learning to analyze dataTech firms, research institutions, consulting; involved in developing new models and data-driven solutions

ML Data Analysts focus on applying machine learning techniques to analyze data and generate insights, often working within business teams. Data Scientists have a broader scope, developing new algorithms and models for complex data challenges. Both roles require strong analytical skills, but Data Scientists typically have more advanced programming and statistical expertise.

What is the salary of data analyst in AI ML?

The salary of a data analyst working in AI and machine learning typically ranges from $60,000 to $100,000 annually, depending on experience, location, and skill set. Professionals with expertise in programming languages like Python or R, and familiarity with tools such as TensorFlow or SQL, may earn higher salaries. Entry-level positions generally start lower, while experienced analysts or those with specialized certifications can command higher compensation.

What cities are hiring for Ml Data Analyst jobs?

Cities with the most Ml Data Analyst job openings:

What states have the most Ml Data Analyst jobs?

States with the most job openings for Ml Data Analyst jobs include:

What are popular job titles related to Ml Data Analyst jobs?

For Ml Data Analyst jobs, the most frequently searched job titles are:

Ml Data Analyst jobs near you

Technical Specialist, ML Data

Mountain View, CA • On-site

Waymo
Internet and IT • 1 - 5K employees
Learn more about Waymoexternal

Full-time

Re-posted 23 days ago

Job description

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver™-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.
The Labeling Data Program Org owns the execution and creation of curated labeled datasets which are critical for training and evaluation of ML models that power the Waymo Driver.
As a Technical Specialist in this team, you will be the operational backbone of our machine learning initiatives. You will own and drive the complex, cross-functional programs that deliver high-quality data-the lifeblood of our models. You will orchestrate the end-to-end data lifecycle, from defining requirements for new datasets and tooling to scaling data pipelines and ensuring our ML teams have the resources they need to innovate. This is a high-impact role for a technical, detail-oriented leader who thrives on turning ambiguous data needs into tangible, scalable solutions.
You will:
  • Drive the ML Flywheel: Lead the end-to-end lifecycle of ML data, from initial mining and curation to labeling policy definition, validation, and model evaluation. Work cross-functionally to ensure coordination and alignment on objectives and key results.
  • Translate Policy to Code: Lead the development of sophisticated labeling policies for complex AV domains (e.g., behavior prediction, long-tail edge cases). Convert ambiguous ML quality problems into precise, scalable annotation policies and data taxonomies.
  • Build Evals & Metrics: Design and implement ML evaluation frameworks. Identify key data-centric drivers of model performance and create the metrics that track ML quality at the data level.
  • Cross-Functional Leadership: Communicate effectively with technical and non-technical audiences at various levels of seniority, including producing analytical write-ups, dashboards, and data visualizations to convey your findings and recommendations to our team and cross-functional stakeholders
  • Influence ML data selection strategies (active learning, hard-mining) to ensure we are labeling the most impactful data to maximize ROI from the labeling effort

You have:
  • 8+ years of experience in data analysis, including identifying trends, generating summary statistics, and drawing insights from quantitative and qualitative data.
  • Deep understanding of the ML data lifecycle: labeling, taxonomy design, quality control, and data curation.
  • Experience with ML Data Flywheel and working understanding of ML development life cycle (e.g., model deployment,model evaluation, data processing, debugging, fine tuning).
  • Background in leading and managing complex programs that span across organizations and functions, with specific experience in Machine Learning data annotation or Human-in-the-Loop initiatives.
  • Strong ability to thrive in a dynamic environment, demonstrating comfort and effectiveness when dealing with ambiguity.
  • Ability to quickly learn and implement new concepts and utilize proprietary tools. Strong understanding of driving rules and regulations.

We prefer:
  • Experience with scripting language, machine learning tools, techniques and systems (including prompt engineering and fine-tuning LLMs ) is a strong plus.
  • Demonstrated ability to extract, manipulate, and apply machine learning techniques to high volumes of critical, product-related data.
  • Demonstrated ability in working with a variety of engineering stakeholders to gather requirements, explain models, and iterate to make improvements.
  • Excellent written and verbal communication and ability to describe technical implementations or analyses to a non-tech audience in an effective manner.
  • Excellent problem-solving and critical thinking skills with attention to detail in an ever-changing environment.
  • A greater focus on using your subject matter expertise for results analysis and direct customer consultation in the development of new and improved. solutions.

The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.
Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.
Salary Range
$159,000-$202,000 USD

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