As a Data Scientist, you will provide data driven insights to fight fraud. You will develop models ... Solve difficult, non-routine analysis problems by applying statistical, machine learning and ...
As a Data Scientist, you will provide data driven insights to fight fraud. You will develop models ... Solve difficult, non-routine analysis problems by applying statistical, machine learning and ...
Applied Scientist
Austin, TX · On-site
... Machine Learning, or Data Scientist role Familiarity with a brand range of quasi-experimental Causal Inference techniques such as diff-in-diff, synthetic control method, panel analysis, regression ...
Applied Scientist
Austin, TX · On-site
... Machine Learning, or Data Scientist role Familiarity with a brand range of quasi-experimental Causal Inference techniques such as diff-in-diff, synthetic control method, panel analysis, regression ...
Senior Data Scientist
Texas City, TX · On-site
Data Science, Deep Learning, Machine Learning, Agentic AI, Retrieval Augmented Generation, Large Language Model Desirable Skill: Data Analysis, Machine Learning Algorithms, Deep Learning Frameworks ...
Senior Data Scientist
Texas City, TX · On-site
Data Science, Deep Learning, Machine Learning, Agentic AI, Retrieval Augmented Generation, Large Language Model Desirable Skill: Data Analysis, Machine Learning Algorithms, Deep Learning Frameworks ...
You will work as part of a team of data scientists, machine learning engineers, software engineers, and DevOps engineers to transform machine learning models into functional products. You're right ...
You will work as part of a team of data scientists, machine learning engineers, software engineers, and DevOps engineers to transform machine learning models into functional products. You're right ...
You will work as part of a team of data scientists, machine learning engineers, software engineers, and DevOps engineers to transform machine learning models into functional products. You're right ...
You will work as part of a team of data scientists, machine learning engineers, software engineers, and DevOps engineers to transform machine learning models into functional products. You're right ...
Data Scientist
Irving, TX · On-site
$65 - $70/hr
We are currently seeking a Data Scientist for our client in the Retail domain. We value our ... In this role, you will build and deploy machine learning models, design and analyze A/B tests, and ...
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Data Scientist
Irving, TX · On-site
$65 - $70/hr
We are currently seeking a Data Scientist for our client in the Retail domain. We value our ... In this role, you will build and deploy machine learning models, design and analyze A/B tests, and ...
Data Scientist
Richardson, TX · Remote
$116K - $198K/yr
Machine Learning & Data Science * Develop, evaluate, and deploy predictive and generative models for real production use cases * Perform feature engineering and data preparation for modeling ...
Data Scientist
Richardson, TX · Remote
$116K - $198K/yr
Machine Learning & Data Science * Develop, evaluate, and deploy predictive and generative models for real production use cases * Perform feature engineering and data preparation for modeling ...
Data Scientist
Richardson, TX · On-site
$116K - $198K/yr
Responsibilities Machine Learning & Data Science * Develop, evaluate, and deploy predictive and generative models for real production use cases * Perform feature engineering and data preparation for ...
Data Scientist
Richardson, TX · On-site
$116K - $198K/yr
Responsibilities Machine Learning & Data Science * Develop, evaluate, and deploy predictive and generative models for real production use cases * Perform feature engineering and data preparation for ...
Data Scientist
Richardson, TX · Remote
$116K - $198K/yr
Responsibilities Machine Learning & Data Science * Develop, evaluate, and deploy predictive and generative models for real production use cases * Perform feature engineering and data preparation for ...
Data Scientist
Richardson, TX · Remote
$116K - $198K/yr
Responsibilities Machine Learning & Data Science * Develop, evaluate, and deploy predictive and generative models for real production use cases * Perform feature engineering and data preparation for ...
Data Scientist II
San Antonio, TX · On-site
SWBC is seeking a talented individual to contribute to the development of machine learning models and analytical solutions that impact business performance. The Data Scientist II will work closely ...
Data Scientist II
San Antonio, TX · On-site
SWBC is seeking a talented individual to contribute to the development of machine learning models and analytical solutions that impact business performance. The Data Scientist II will work closely ...
Data Scientist
Houston, TX · On-site
As a Data Scientist, you will apply strong expertise through the use of machine learning, data mining, and information retrieval to design, prototype, and build next generation advanced analytics ...
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Data Scientist
Houston, TX · On-site
As a Data Scientist, you will apply strong expertise through the use of machine learning, data mining, and information retrieval to design, prototype, and build next generation advanced analytics ...
They are seeking a Data Scientist to design and develop machine learning solutions, analyze model performance, and ensure compliance with security requirements. Responsibilities : • Design and ...
They are seeking a Data Scientist to design and develop machine learning solutions, analyze model performance, and ensure compliance with security requirements. Responsibilities : • Design and ...
Data Scientist
Irving, TX · On-site
$65 - $70/hr
We are currently seeking a Data Scientist for our client in the Retail domain. We value our ... In this role, you will build and deploy machine learning models, design and analyze A/B tests, and ...
Data Scientist
Irving, TX · On-site
$65 - $70/hr
We are currently seeking a Data Scientist for our client in the Retail domain. We value our ... In this role, you will build and deploy machine learning models, design and analyze A/B tests, and ...
Data Scientist
Dallas, TX · On-site
$65 - $75/hr
Roles & Responsibilities 6+ years of experience in Machine Learning and Data Science. • Strong understanding of Generative AI, Retrieval Augmented Generation, Agentic Workflow, Statistical methods ...
Data Scientist
Dallas, TX · On-site
$65 - $75/hr
Roles & Responsibilities 6+ years of experience in Machine Learning and Data Science. • Strong understanding of Generative AI, Retrieval Augmented Generation, Agentic Workflow, Statistical methods ...
Data Scientist 3
San Antonio, TX · On-site
Job Brief Data Science, Machine Learning, Programming Are you VIGILANT about your career? RealmOne definitely is! RealmOne was built on the principle that people matter first and foremost. We believe ...
Data Scientist 3
San Antonio, TX · On-site
Job Brief Data Science, Machine Learning, Programming Are you VIGILANT about your career? RealmOne definitely is! RealmOne was built on the principle that people matter first and foremost. We believe ...
Data Scientist II
San Antonio, TX · On-site
SWBC is seeking a talented individual who will contribute to the development of machine learning ... The Data Scientist II is expected to independently lead analyses and model development projects ...
Data Scientist II
San Antonio, TX · On-site
SWBC is seeking a talented individual who will contribute to the development of machine learning ... The Data Scientist II is expected to independently lead analyses and model development projects ...
Data Scientist 3
San Antonio, TX · On-site
Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming, data mining, advanced statistical analysis, advanced mathematical ...
Data Scientist 3
San Antonio, TX · On-site
Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming, data mining, advanced statistical analysis, advanced mathematical ...
SWBC is seeking a talented individual who will contribute to the development of machine learning ... The Data Scientist II is expected to independently lead analyses and model development projects ...
SWBC is seeking a talented individual who will contribute to the development of machine learning ... The Data Scientist II is expected to independently lead analyses and model development projects ...
Data Scientist II
San Antonio, TX · On-site
SWBC is seeking a talented individual who will contribute to the development of machine learning ... The Data Scientist II is expected to independently lead analyses and model development projects ...
Data Scientist II
San Antonio, TX · On-site
SWBC is seeking a talented individual who will contribute to the development of machine learning ... The Data Scientist II is expected to independently lead analyses and model development projects ...
Data Scientist 3
San Antonio, TX · On-site
Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming, data mining, advanced statistical analysis, advanced mathematical ...
Data Scientist 3
San Antonio, TX · On-site
Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming, data mining, advanced statistical analysis, advanced mathematical ...
Data Scientist Machine Learning information
See Texas salary details
$34.9K - $48.4K
2% of jobs
$48.4K - $61.9K
3% of jobs
$61.9K - $75.3K
6% of jobs
$75.3K - $88.8K
9% of jobs
$93.1K is the 25th percentile. Wages below this are outliers.
$88.8K - $102.3K
15% of jobs
The median wage is $111.2K / yr.
$102.3K - $115.7K
22% of jobs
$123.1K is the 75th percentile. Wages above this are outliers.
$115.7K - $129.2K
32% of jobs
$129.2K - $142.7K
3% of jobs
$142.7K - $156.1K
4% of jobs
$156.1K - $169.6K
1% of jobs
$169.6K - $183.1K
2% of jobs
$34.9K
$114.3K
$183.1K
How much do data scientist machine learning jobs pay per year?
As of Jul 3, 2026, the average yearly pay for data scientist machine learning in Texas is $114,350.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,800.00 and $126,700.00 per year, depending on experience, location, and employer.
What is a Data Scientist Machine Learning job?
A Data Scientist specializing in Machine Learning (ML) uses statistical methods, algorithms, and computational power to analyze data and create predictive models. They work with large datasets to identify patterns, train machine learning models, and improve decision-making processes. Responsibilities often include data cleaning, feature engineering, model selection, and performance evaluation. They may collaborate with engineers and business teams to deploy models in real-world applications. Strong skills in programming (Python, R), ML frameworks (TensorFlow, Scikit-learn), and data visualization are essential.
What are the key skills and qualifications needed to thrive in the Data Scientist Machine Learning position, and why are they important?
To excel as a Data Scientist Machine Learning, you need a strong proficiency in statistics, programming (typically Python or R), and a solid understanding of machine learning algorithms, usually backed by a degree in computer science, mathematics, or a related field. Familiarity with tools such as TensorFlow, scikit-learn, SQL databases, and cloud platforms, as well as certifications in data science or machine learning, is commonly expected. Analytical thinking, problem-solving skills, and effective communication are vital soft skills in this profession. These qualifications combine to drive impactful insights and enable the successful development and deployment of machine learning models in business environments.
Is 40 too late for data science?
Data scientists can enter the field at any age, including 40 or older, as success depends on skills, experience, and continuous learning. Many professionals transition into data science later in their careers by acquiring relevant knowledge in programming, statistics, and machine learning tools. Age is less important than demonstrated expertise and the ability to adapt to evolving technologies.
Will MLE be replaced by AI?
Machine Learning Engineers (MLEs) design, develop, and deploy AI models, and while AI automation tools can assist with certain tasks, MLEs are essential for creating and maintaining complex systems. AI is a tool that enhances their work but does not replace the need for skilled professionals who understand data, algorithms, and system integration.
Which 5 jobs will survive AI?
Data Scientist Machine Learning roles are likely to persist as they require complex problem-solving, domain expertise, and the ability to interpret and communicate insights from data. Jobs that involve creativity, emotional intelligence, and strategic decision-making, such as healthcare professionals, educators, and skilled trades, are also expected to remain resilient despite AI advancements.
What are the typical day-to-day responsibilities of a Data Scientist Machine Learning?
On a typical day, a Data Scientist specializing in Machine Learning might gather and preprocess data, design and implement machine learning models, and evaluate their performance to solve real-world problems. They often collaborate with data engineers, software developers, and business stakeholders to translate business objectives into technical solutions and integrate models into existing systems. Other responsibilities can include visualizing data insights, conducting experiments to tune algorithms, and staying current with new developments in the field. The work is highly collaborative and iterative, requiring clear communication with various teams to ensure project goals are met efficiently.
Do data scientists do machine learning?
Yes, data scientists often use machine learning techniques to analyze data, build predictive models, and extract insights. Proficiency in programming languages like Python or R and understanding of algorithms are essential skills for applying machine learning in their work.
What are the most commonly searched types of Data Scientist Machine Learning jobs in Texas? The most popular types of Data Scientist Machine Learning jobs in Texas are:
What are popular job titles related to Data Scientist Machine Learning jobs in Texas? For Data Scientist Machine Learning jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Data Scientist Machine Learning jobs in Texas look for? The top searched job categories for Data Scientist Machine Learning jobs in Texas are:
What cities in Texas are hiring for Data Scientist Machine Learning jobs? Cities in Texas with the most Data Scientist Machine Learning job openings:
Apple rating
8.1
Based on 666 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.
As a Data Scientist, you will provide data driven insights to fight fraud. You will develop models, evaluate product launches, develop automated solutions to deliver timely alerts, find opportunities for future development by applying the bleeding edge scientific methods. You will partner with engineers, product, program and business leaders alongside other teams to bring better experiences to drive meaningful customer impact.
Description
Research and develop evaluation methods to address fraud. Solve difficult, non-routine analysis problems by applying statistical, machine learning and advanced analytical methods as needed.
- Design and execute observational and experimental studies of causal inference
- Work with large, complex data sets.
- Develop automated solutions to deliver insights and alerts
- Drive feature evaluation and product roadmap with insights","responsibilities":"Develop scalable data solutions to be used to drive analyses, reports, and insights
Influence upstream data model design, drive KPI definitions and develop customized data solutions
Measure impact of features and initiatives and help improve customer experience
Collaborate and influence cross functional partners to help deliver product objectives on time
Communicate results, insights and expectations to partners and senior leaders, bridge any gaps between technical and non-technical audiences. Be adept at messaging domain and technical content at a level appropriate for the audience.
Work independently in sophisticated and highly visible projects, identify risks and develop frameworks, regularly connect with collaborators and leadership teams.
Preferred Qualifications
PhD in Statistics, Mathematics, Data Science, Machine Learning, Physics, Engineering, Computer Science or equivalent
Experience applying LLMs to solve technical problems such as data analysis, data automation, synthetic data generation with proven ability to optimize model performance for accuracy and efficiency
Excellent product intuition, keen eye for design and customer pain point awareness
Experience developing anomaly detection and causal inference models
Minimum Qualifications
Masters in Statistics, Mathematics, Data Science, Machine Learning, Physics, Engineering, Computer Science or equivalent
Proficiency in data querying using SQL, Spark, or equivalent technologies
Proficiency in scripting languages for data processing and analysis (ex: Python, R, or Scala)
Excellent communication and multi-functional collaboration skills, ability to convey complex concepts to diverse audiences
At least 3 years experience working as a Data Scientist
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.
As a Data Scientist, you will provide data driven insights to fight fraud. You will develop models, evaluate product launches, develop automated solutions to deliver timely alerts, find opportunities for future development by applying the bleeding edge scientific methods. You will partner with engineers, product, program and business leaders alongside other teams to bring better experiences to drive meaningful customer impact.
Description
Research and develop evaluation methods to address fraud. Solve difficult, non-routine analysis problems by applying statistical, machine learning and advanced analytical methods as needed.
- Design and execute observational and experimental studies of causal inference
- Work with large, complex data sets.
- Develop automated solutions to deliver insights and alerts
- Drive feature evaluation and product roadmap with insights","responsibilities":"Develop scalable data solutions to be used to drive analyses, reports, and insights
Influence upstream data model design, drive KPI definitions and develop customized data solutions
Measure impact of features and initiatives and help improve customer experience
Collaborate and influence cross functional partners to help deliver product objectives on time
Communicate results, insights and expectations to partners and senior leaders, bridge any gaps between technical and non-technical audiences. Be adept at messaging domain and technical content at a level appropriate for the audience.
Work independently in sophisticated and highly visible projects, identify risks and develop frameworks, regularly connect with collaborators and leadership teams.
Preferred Qualifications
PhD in Statistics, Mathematics, Data Science, Machine Learning, Physics, Engineering, Computer Science or equivalent
Experience applying LLMs to solve technical problems such as data analysis, data automation, synthetic data generation with proven ability to optimize model performance for accuracy and efficiency
Excellent product intuition, keen eye for design and customer pain point awareness
Experience developing anomaly detection and causal inference models
Minimum Qualifications
Masters in Statistics, Mathematics, Data Science, Machine Learning, Physics, Engineering, Computer Science or equivalent
Proficiency in data querying using SQL, Spark, or equivalent technologies
Proficiency in scripting languages for data processing and analysis (ex: Python, R, or Scala)
Excellent communication and multi-functional collaboration skills, ability to convey complex concepts to diverse audiences
At least 3 years experience working as a Data Scientist
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