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Data Analyst Machine Learning Jobs (NOW HIRING)

Apple

Machine Learning Data Engineer

Cupertino, CA · On-site

$141.30K - $169.60K/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.

PTP

Machine Learning Engineer - REMOTE

Austin, TX · On-site +1

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 ...

Cymertek

Data Scientist

San Antonio, TX · On-site

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 ...

Cymertek

Data Scientist

Honolulu, HI · On-site

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 ...

Hang

Machine Learning Engineer

New York, NY · On-site +1

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 ...

Cymertek

Data Scientist

Tysons, VA · On-site

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 ...

VSolvit

DATA SCIENTIST II (MACHINE LEARNING)

Norco, CA · On-site

$115K - $130K/yr

In this role, you will apply advanced data analytics and machine learning techniques to explore large, complex datasets for unknown trends and patterns regarding customer behavior, product ...

Cymertek

Data Scientist

Reston, VA · On-site

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 ...

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All JobsData Analyst Machine Learning Jobs

Data Analyst Machine Learning information

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$34K

$82.6K

$136K

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

As of May 29, 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 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 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 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.
More about Data Analyst Machine Learning jobs
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:
What job categories do people searching Data Analyst Machine Learning jobs look for? The top searched job categories for Data Analyst Machine Learning jobs are:
Data Analyst Machine Learning jobs near you
Infographic showing various Data Analyst Machine Learning job openings in the United States as of May 2026, with employment types broken down into 2% Internship, 3% As Needed, 81% Full Time, 10% Part Time, 1% Temporary, and 3% Contract. Highlights an 95% Physical, 3% Hybrid, and 2% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Machine Learning Engineer

RZR Global Inc.

San Francisco, CA • On-site

Full-time

Posted 10 days ago

Job description

Who are we?RZR Global is an AI-driven company specializing in mobile advertising solutions designed to fuel revenue growth. We leverage AI to discover audiences in a privacy-first environment through trillions of contextual bidding signals and proprietary behavioral models. Our audience engagement platform includes creative strategy and execution. We handle 5 million mobile ad requests per second from over 10 billion devices, driving performance for both publishers and brands. We are headquartered in San Francisco, CA, with a global presence across the United States, EMEA, and APAC.
Role Overview
We are seeking a motivated and detail-oriented Machine Learning Engineer to join our team. As an ML Engineer, you will be involved in designing and implementing machine learning models and data pipelines to enhance our programmatic demand-side platform (DSP). You will work closely with Senior MLE and other team members to drive impactful machine learning projects and contribute to innovative solutions.
Key Responsibilities
  • Support the development of machine learning models to address challenges in programmatic advertising, such as predicting user responses, forecasting bid landscapes, and detecting fraud.
  • Collaborate with senior data scientists and cross-functional teams (product, engineering, and analytics) to integrate models into production workflows.
  • Analyze the impact of integrating new data sources and features into our models.
  • Build and maintain data pipelines to process and prepare large datasets for model training and evaluation.
  • Contribute ideas and assist in testing new tools, methodologies, and technologies to improve our machine learning capabilities.
  • Document experiments, assumptions, and outcomes; maintain reproducibility
Required Skills / Experience
  • Bachelor's or Master's degree in Mathematics, Physics, Computer Science, or a related technical field.
  • At least 1 year of professional experience in machine learning, statistical analysis, and data analysis.
  • Experience with machine learning techniques such as regression, classification, and clustering.
  • Proficiency in Python and SQL and familiarity with big data tools (e.g., Spark) and ML libraries (e.g., TensorFlow, PyTorch, Scikit-Learn).
  • Strong grasp of probability, statistics, and data analysis principles.
  • Ability to work effectively in a team environment, with good communication skills to explain complex concepts to diverse stakeholders.
Nice-to-Have
  • Familiarity with system programming languages including C++ and Rust is a plus.
  • Exposure to online inference systems, gRPC/REST model endpoints, or streaming features (Kafka/Flink)
  • Ad-tech familiarity: auction dynamics, pacing, fraud signals, creative personalization.

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