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Data Analyst Machine Learning Jobs (NOW HIRING)

Machine Learning Data Engineer

Cupertino, CA · On-site

$141K - $169K/yr

Experience in data analysis, data engineering, and machine learning data operations. Experience designing data quality control processes, data curation workflows, or Human-in-the-Loop initiatives.

Analyze and extract key insights from rich stores of customer data * Research and implement ML ... Machine learning (ML) algorithms * Predictive modeling and analysis * Data visualization software ...

The role requires the application of advanced analytical techniques, including machine learning ... The Data Analyst will collaborate with planners, analysts, and subject matter experts to develop ...

Data Scientist LOCATION San Antonio, TX 78208 CLEARANCE TS/SCI Full Poly (Please note this position ... In this role, you will use advanced analytics, machine learning models, and statistical methods to ...

The role requires the application of advanced analytical techniques, including machine learning ... The Data Analyst will collaborate with planners, analysts, and subject matter experts to develop ...

Data Scientist LOCATION Honolulu, HI 96815 CLEARANCE TS/SCI Full Poly (Please note this position ... In this role, you will use advanced analytics, machine learning models, and statistical methods to ...

Data Scientist LOCATION Annapolis Junction, MD 20701 CLEARANCE TS/SCI Full Poly (Please note this ... In this role, you will use advanced analytics, machine learning models, and statistical methods to ...

... Apply machine learning techniques such as classification, regression, clustering, and anomaly ... data teams to support analytics initiatives and continuous improvement efforts. • Communicate ...

Data Scientist LOCATION Aurora, CO 80014 CLEARANCE TS/SCI Full Poly (Please note this position ... In this role, you will use advanced analytics, machine learning models, and statistical methods to ...

Data Scientist LOCATION Reston, VA 20190 CLEARANCE TS/SCI Full Poly (Please note this position ... In this role, you will use advanced analytics, machine learning models, and statistical methods to ...

Data Scientist LOCATION Tysons, VA 22182 CLEARANCE TS/SCI Full Poly (Please note this position ... In this role, you will use advanced analytics, machine learning models, and statistical methods to ...

Data Scientist LOCATION Chantilly, VA 20151 CLEARANCE TS/SCI Full Poly (Please note this position ... In this role, you will use advanced analytics, machine learning models, and statistical methods to ...

Data Scientist

Fredericksburg, VA · On-site

$60 - $70/hr

Design and implement data pipelines, analytics models, and machine-learning solutions to support process automation and predictive decision-making. * Collect, clean, and validate structured and ...

This person will implement and develop machine learning models to enhance our platform ... Data Analysis: Analyze large datasets to identify trends and patterns, and use this information to ...

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Data Analyst Machine Learning information

See salary details

$34K

$82.6K

$136K

How much do data analyst machine learning jobs pay per year?

As of Jul 9, 2026, the average yearly pay for data analyst machine learning 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 are the key skills and qualifications needed to thrive in the Data Analyst Machine Learning position, and why are they important?

To thrive as a Data Analyst Machine Learning, you need strong analytical skills, a background in statistics or mathematics, and experience in data preprocessing, model building, and evaluation. Familiarity with programming languages such as Python or R, experience with machine learning libraries (like scikit-learn or TensorFlow), and relevant certifications (such as Google Data Analytics or AWS Certified Machine Learning) are highly beneficial. Effective communication, problem-solving, and collaboration skills help distinguish top performers in this role. These abilities are crucial for transforming raw data into actionable insights, presenting findings clearly, and driving data-informed decisions in business settings.

What is a Data Analyst Machine Learning job?

A Data Analyst Machine Learning job involves analyzing large datasets to extract insights and support decision-making using machine learning techniques. Professionals in this role clean, preprocess, and visualize data while building and evaluating predictive models. They work with programming languages like Python or R, use tools such as SQL and Tableau, and apply statistical methods to uncover patterns. This role bridges data analysis and machine learning by transforming raw data into actionable insights. Typically, they collaborate with data scientists, engineers, and business stakeholders to drive data-driven strategies.

What are the typical career progression opportunities for someone in a Data Analyst Machine Learning role?

Many professionals begin as Data Analysts with a focus on machine learning and, as they gain experience, can advance to roles such as Machine Learning Engineer, Data Scientist, or Analytics Manager. Career growth often involves taking on more complex projects, leading analytical teams, and contributing to strategic decision-making within the organization. Expanding your expertise in advanced machine learning techniques, big data tools, and business acumen can open doors to leadership positions. Additionally, working cross-functionally with engineering, product, and business teams provides valuable exposure and opportunities for further advancement.

What cities are hiring for Data Analyst Machine Learning jobs? Cities with the most Data Analyst Machine Learning job openings:
What are the most commonly searched types of Data Analyst Machine Learning jobs? The most popular types of Data Analyst Machine Learning jobs are:
What states have the most Data Analyst Machine Learning jobs? States with the most job openings for Data Analyst Machine Learning jobs include:
Infographic showing various Data Analyst Machine Learning job openings in the United States as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 86% Full Time, 6% Part Time, 1% Temporary, and 5% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.
Machine Learning Data Engineer

Machine Learning Data Engineer

Apple

Cupertino, CA • On-site

$141K - $169K/yr

Full-time

Posted 25 days ago


Apple rating

8.1

Company rating: 8.1 out of 10

Based on 667 frontline employees who took The Breakroom Quiz

5th of 30 rated technology retailers


Job description

Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or Apple Store experience we deliver is the result of us making each other's ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better. It's the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Here, you'll do more than join something - you'll add something.
Description
We are seeking a highly experienced and strategic Machine Learning Data Engineer to drive our machine learning data with a strong focus on quality. In this role, you will transform ambiguous data challenges into scalable processes, clear policies, and high-fidelity datasets that power diverse ML use cases, specifically focused on innovative consumer products and user-facing technologies.
You will act as the crucial link between technical tools and infrastructure, cross-functional engineering teams, and regulatory compliance (including privacy, legal, and consumer data protection). If your passion is making sense of complex data, designing data evaluation frameworks, and leading initiatives to maximize model ROI through rigorous data quality, we want you on our team.
Minimum Qualifications
BS in Computer Science, Data Engineering, Data Science, Mathematics, or a related field; or equivalent industry experience.
Experience in data analysis, data engineering, and machine learning data operations.
Experience designing data quality control processes, data curation workflows, or Human-in-the-Loop initiatives.
Experience managing or coordinating cross-functional projects spanning multiple technical teams or organizations, leading end-to-end data strategy for ML development lifecycle, including iterating rapidly to drive improvements.
Preferred Qualifications
10+ years of experience in data analysis or ML data operations, including identifying trends, generating summary statistics, and drawing insights from quantitative and qualitative data.
Experience operating within global data privacy frameworks (e.g., GDPR, CCPA) and aligning consumer ML data handling with legal compliance and ethical guidelines.
Proven background in leading complex, cross-functional programs focused specifically on ML data quality at scale.
Experience with prompt engineering, machine learning tools, and fine-tuning Large Language Models (LLMs).
Demonstrated ability to consult with diverse engineering stakeholders to gather requirements, explain complex models, and iterate rapidly to drive improvements.
Excellent written and verbal communication skills, with a specialized ability to distill highly technical analyses to non-technical audiences effectively.
Exceptional problem-solving skills, adaptability, and agility to navigate high ambiguity, learn proprietary tools quickly, and thrive in a fast-paced environment.

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Apple logo

About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976