1

Data Analyst Machine Learning Jobs in Texas (NOW HIRING)

... data scientists/analysts, and product managers, to help develop and implement machine learning ... algorithms and testing workflows. Minimum Qualifications 4+ years of related experience building ...

Senior Machine Learning Engineer

Austin, TX · On-site

$121K - $160K/yr

Data analysis and feature engineering: Apply your expertise to identify and generate features that ... Use machine learning and statistical modelling techniques such as Decision Trees, Logistic ...

Preprocess and analyze datasets to ensure data quality. * Collaborate with senior engineers and data scientists on model deployment. * Conduct experiments and run machine learning tests. * Stay ...

The Data Analyst will leverage AWS, Snowflake, Fivetran, DBT, and various BI Tools to manage ... machine learning models. Essential duties include the following: * Develops and provides ...

Data Analyst Posting Start Date: 4/16/26 Job Location (Short): Houston, TX, USA, 77024 Data Analyst ... Support AI initiatives and apply statistical analysis and machine learning techniques to identify ...

The Data Analyst will leverage AWS, Snowflake, Fivetran, DBT, and various BI Tools to manage ... machine learning models. Essential duties include the following: * Develops and provides ...

The Data Analyst will leverage AWS, Snowflake, Fivetran, DBT, and various BI Tools to manage ... machine learning models. Essential duties include the following: * Develops and provides ...

... data scientists/analysts, and product managers, to help develop and implement machine learning ... algorithms and testing workflows.","responsibilities":"Collaborate with other MLEs to build ...

... data scientists/analysts, and product managers, to help develop and implement machine learning ... algorithms and testing workflows.","responsibilities":"Collaborate with other MLEs to build ...

... data scientists/analysts, and product managers, to help develop and implement machine learning ... algorithms and testing workflows.","responsibilities":"Collaborate with other MLEs to build ...

... for analysis, math and statistics, and a passion for machine-learning and research. Critical ... Data Scientist responsibilities are: * Research and detect valuable data sources and automate ...

... for analysis, math and statistics, and a passion for machine-learning and research. Critical ... Data Scientist responsibilities are: * Research and detect valuable data sources and automate ...

... Analyze large datasets to extract meaningful insights and support data-driven decisions Develop scalable machine learning pipelines and systems Maintain up-to-date knowledge of emerging AI and ...

... Analyze large datasets to extract meaningful insights and support data-driven decisions • Develop scalable machine learning pipelines and systems • Maintain up-to-date knowledge of emerging AI ...

In this role, you will leverage statistical analysis, machine learning, and data visualization techniques to extract actionable insights from complex data sets. You will work cross-functionally with ...

next page

Showing results 1-20

Data Analyst Machine Learning information

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 are the most commonly searched types of Data Analyst Machine Learning jobs in Texas? The most popular types of Data Analyst Machine Learning jobs in Texas are:
Infographic showing various Data Analyst Machine Learning job openings in Texas as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 86% Full Time, 7% Part Time, 4% Contract, and 1% Nights. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution.
Machine Learning Engineer

Machine Learning Engineer

Apple

Austin, TX • On-site

Full-time

Posted 22 days ago


Apple rating

8.1

Company rating: 8.1 out of 10

Based on 670 frontline employees who took The Breakroom Quiz

5th of 30 rated technology retailers


Job description

Imagine what you could do here! The people here at Apple don't just create products - they build the kind of wonder that's revolutionized entire industries. It's the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. At Apple, inclusion is a shared responsibility, and we work together to foster a culture where everyone belongs and is inspired to do their best work.
Here on the Apple Store Online team, we are responsible for Apple's largest store. Our main goal is to deliver a magical, personal digital experience where customers can shop, buy and learn everything Apple, wherever they are. Each customer should feel like they are our only customer and our job is to set the bar for the experience they receive. To run such an extraordinary store, it takes extraordinary people, and we are looking for someone to help us do extraordinary things.
We are looking for a passionate, highly motivated, and hands-on applied Machine Learning Engineer. This role will assist our Online Retail Decision Automation team by helping to research and develop the next generation of algorithms used to drive the Apple Online experience! The role spans central areas of our Apple Online Store including developing models for product search, recommendation systems (e.g. ranking, page generation), personalization (e.g. evidence, messaging, marketing), Generative AI and optimizing Apple-wide systems & infrastructure. As a member of the fast-paced team, you will have the outstanding and great opportunity to be part of new projects and craft upcoming products that will delight and encourage millions of Appleʼs customers every day.
Description
To be successful, candidates will need a machine learning background, proven software development skills, a love of learning. They will also need to be able to collaborate with cross-functional teams, including researchers, engineers, data scientists/analysts, and product managers, to help develop and implement machine learning algorithms and testing workflows.
Minimum Qualifications
4+ years of related experience building high throughput scalable applications or building machine learning models.
Proficiency in one or more object-oriented programming languages such as Python, Java, C++ and experience building distributed systems.
Experience building data processing pipelines and large scale machine learning systems with experience in big data technologies like Spark, SQL, Snowflake/Hadoop, etc.
Skilled in communication, problem solving, strategic thinking
Attention to detail, data accuracy and quality of output
Preferred Qualifications
PhD or Graduate degree with research/work experience utilizing data science techniques (including but not limited to Computer Science, Statistics, Political Science, Biology, etc) or Bachelorʼs degree with equivalent experience.
Experience in Search, Recommender Systems, Personalization, Computational Advertising or Natural Language Processing including RAG based Generative AI and transformer architecture.
Skilled in communication, problem solving, critical thinking.
Experience using Deep Learning, Bandits, Probabilistic Graphical Models, or Reinforcement Learning in real applications a plus.
Experience with Spark, TensorFlow, Keras, and PyTorch a plus

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