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Data Scientist Machine Learning Jobs in Dallas, TX

Data Scientist / ML Engineer

Frisco, TX · On-site

$100 - $130/hr

Data Scientist / ML Engineer Year Of Experience : 7+ years Location: Overland Park KS/ Frisco TX ( ... Expertise with scaling pilot machine learning solutions to a large scale production environment ...

Sr. Machine Learning Engineer

Dallas, TX · On-site +1

$103K - $142K/yr

... Data Scientist, Machine Learning Engineer, or a related/similar position. Experience therein to include the following: * 5 years in designing and deploying enterprise-level machine learning systems ...

Role: Data Scientist Location: Irving, TX - Fulltime Position Data Scientist with Generative AI ... Machine learning, NLP & deep learning: Strong understanding of supervised and unsupervised learning ...

Sr. Data Scientist

Richardson, TX · On-site

$113K - $148K/yr

Machine Learning & Analytics * Develop and deploy machine learning models and predictive analytics ... What We Are Looking For * Bachelor's degree in computer science, Data Science, Analytics ...

DATA SCIENTIST W2 Candidates only Addison, TX/ Chandler, AZ/ Kennesaw, GA Years of Experience ... experience in building Machine Learning NLP Models and good familiarity with Gen AI Models.

Sr Data Scientist

Dallas, TX · On-site

$140 - $190/hr

... Scientist Posted Date: Jul 8, 2026 Requisition Number: 129106 Job Location: Dallas, Texas Are you ... machine learning and statistical techniques to shape the future of snacking. As a Sr. Data ...

New

Data Scientist

Westlake, TX · On-site

$150 - $230/hr

Design, develop, and deploy production‑grade machine learning systems that directly impact ... Lead and mentor a team of data scientists, fostering a culture of technical excellence, creativity ...

Develop and maintain advanced AI/machine learning models and algorithms. * Design and implement ... D. inComputerScience, Data Science, Machine Learning, or a related field. * Prior consulting ...

Sr. Data Scientist

Richardson, TX · On-site

$113 - $148/hr

Machine Learning & Analytics * Develop and deploy machine learning models and predictive analytics ... What We Are Looking For * Bachelor's degree in computer science, Data Science, Analytics ...

New

Sr. Data Scientist

Richardson, TX · On-site

$113K - $148K/yr

Machine Learning & Analytics * Develop and deploy machine learning models and predictive analytics ... What We Are Looking For * Bachelor's degree in computer science, Data Science, Analytics ...

Develop and maintain advanced AI/machine learning models and algorithms. * Design and implement ... D. inComputerScience, Data Science, Machine Learning, or a related field. * Prior consulting ...

Develop and maintain advanced AI/machine learning models and algorithms. * Design and implement ... D. inComputerScience, Data Science, Machine Learning, or a related field. * Prior consulting ...

Sr. Data Scientist

Richardson, TX · On-site

$113K - $148K/yr

Machine Learning & Analytics * Develop and deploy machine learning models and predictive analytics ... Bachelor's degree in computer science, Data Science, Analytics, Statistics, Business, Information ...

New

Sr. Data Scientist

Richardson, TX · On-site

$113K - $148K/yr

Machine Learning & Analytics * Develop and deploy machine learning models and predictive analytics ... What We Are Looking For * Bachelor's degree in computer science, Data Science, Analytics ...

Showing results 41-60

Data Scientist Machine Learning information

See Dallas, TX salary details

$37.1K

$121.5K

$194.5K

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

As of Aug 9, 2026, the average yearly pay for data scientist machine learning in Dallas, TX is $121,508.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,500.00 and $134,600.00 per year, depending on experience, location, and employer.

What is a data scientist machine learning?

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.

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.

What are the most commonly searched types of Data Scientist Machine Learning jobs in Dallas, TX? The most popular types of Data Scientist Machine Learning jobs in Dallas, TX are:
What are popular job titles related to Data Scientist Machine Learning jobs in Dallas, TX? For Data Scientist Machine Learning jobs in Dallas, TX, the most frequently searched job titles are:
What job categories do people searching Data Scientist Machine Learning jobs in Dallas, TX look for? The top searched job categories for Data Scientist Machine Learning jobs in Dallas, TX are:
What cities near Dallas, TX are hiring for Data Scientist Machine Learning jobs? Cities near Dallas, TX with the most Data Scientist Machine Learning job openings:
Infographic showing various Data Scientist Machine Learning job openings in Dallas, TX as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $121,508 per year, or $58.4 per hour.

Full-time

Posted 28 days ago


Job description

Data Scientist
Plano, TX(Onsite)
Contract
Programming: Proficiency in Python, R, and SQL.
Mathematics/Statistics: Strong understanding of statistical techniques, probability, and linear algebra.
Machine Learning: Knowledge of algorithms and libraries like Scikit-learn, TensorFlow, or PyTorch.
Core Roles and Responsibilities
Data Collection and Preparation: Gathering unstructured and structured data from multiple sources, then cleaning and preprocessing it to ensure data quality and usability.
Exploratory Data Analysis (EDA): Analyzing data to uncover hidden patterns, correlations, and trends.
Modeling and Machine Learning: Developing algorithms, designing predictive models, and training them on historical data for tasks like classification, regression, and optimization.
Data Visualization and Reporting: Using tools (e.g., Tableau, Power BI) to create reports and charts that communicate technical findings to non-technical stakeholders.
Collaboration and Strategy: Working with business leaders to identify goals, define problems, and suggest data-driven improvements.
Model Maintenance: Testing, validating, and updating models to ensure accuracy and relevance over time.
+8
Communication: Ability to translate complex data insights into clear business strategies