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Data Scientist Machine Learning Jobs in Dallas, TX

Select Minds LLC

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 ...

Select Minds LLC

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 ...

Photon

AI/ML Data Scientist | Onsite

Dallas, TX

Translate business problems into well-defined machine learning and predictive modeling objectives. * Collect, clean, transform, and analyze structured and unstructured data from multiple sources.

Photon

AI/ML Data Scientist | Onsite

Dallas, TX · On-site

Translate business problems into well-defined machine learning and predictive modeling objectives. * Collect, clean, transform, and analyze structured and unstructured data from multiple sources.

Ruri Software Technologies LLC

Data Scientist

Plano, TX · On-site

Data Scientist Location : Plano, TX, 5900 West Plano Parkway, 75093 About the Role We're looking ... Apply AI and machine learning to improve operations and decision-making * Partner with business and ...

Judge Group, Inc.

Data Scientist - IV

Dallas, TX · On-site

Independently work on data science projects and deliver innovative technical solutions to solve problems and improve business outcomes Be involved in the design and development of machine learning ...

Sarian, Inc.

Data Scientist

Addison, TX · On-site

JD: * 7+ yrs of experience as data scientist or related roles. * Deep understanding and some ... Artificial intelligence/Machine learning.

KPMG US

Data Scientist- Associate

Dallas, TX · On-site

$58K - $58K/yr

Required : • Minimum one year of experience or strong internship/academic projects in data science, machine learning, or software engineering • Minimum of a Bachelor's degree is required • ...

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All JobsData Scientist Machine Learning JobsData Scientist Machine Learning Jobs in Dallas, TX

Data Scientist Machine Learning information

See Dallas, TX salary details

$37.3K

$121.9K

$195.2K

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

As of Aug 31, 2026, the average yearly pay for data scientist machine learning in Dallas, TX is $121,934.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,900.00 and $135,100.00 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 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 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 is the salary of data scientist in machine learning?

The salary of a data scientist specializing in machine learning typically ranges from $90,000 to $150,000 annually, depending on experience, location, and industry. Senior roles or those with advanced skills in programming, statistical analysis, and tools like Python or TensorFlow may earn higher compensation.

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:

Data Scientist Machine Learning jobs near you
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, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $121,934 per year, or $58.6 per hour.

Data Scientist Architect

Garland, TX • On-site

Mars Technominds Inc
IT Services • 51 - 200 employees
Learn more about Mars Technominds Incexternal

Other

Posted 3 days ago

New

Job description

Job Title: Data Scientist Architect

Location: Garland, TX / McKinney, TX

Duration: 12+ Months

Type: Long-Term Contract

Position Overview:

We are seeking an experienced Data Scientist Architect to design and lead advanced data science, machine learning, and AI solutions across enterprise environments. The ideal candidate will have a strong combination of data science, machine learning, data architecture, cloud platforms, and AI/ML engineering experience.

The Data Scientist Architect will work closely with business stakeholders, data engineers, software engineers, and technology leadership to define data and AI strategies, develop scalable analytical solutions, and drive machine learning initiatives from concept through production.

Key Responsibilities:

  • Design and architect scalable data science, machine learning, and AI solutions aligned with business objectives.
  • Lead the development and implementation of advanced machine learning and predictive analytics solutions.
  • Translate complex business problems into data-driven analytical and machine learning solutions.
  • Design end-to-end data science architectures covering data ingestion, processing, feature engineering, model development, deployment, and monitoring.
  • Collaborate with Data Engineers, ML Engineers, Software Engineers, and business stakeholders to deliver production-ready solutions.
  • Develop and optimize machine learning models using structured and unstructured data.
  • Establish best practices for model development, validation, deployment, monitoring, and lifecycle management.
  • Design and implement MLOps processes and frameworks for automated model deployment and monitoring.
  • Work with large-scale datasets and develop solutions for data preparation, transformation, feature engineering, and statistical analysis.
  • Evaluate and implement appropriate machine learning algorithms and AI technologies based on business requirements.
  • Develop solutions using Python and modern data science/ML frameworks.
  • Design and integrate data science solutions with enterprise data platforms, APIs, and applications.
  • Collaborate with cloud teams to develop scalable AI/ML solutions using AWS, Azure, and/or Google Cloud.
  • Establish data quality, governance, security, and model risk management practices.
  • Perform exploratory data analysis and communicate insights and recommendations to technical and business stakeholders.
  • Provide technical leadership, architectural guidance, and mentorship to data science and engineering teams.
  • Stay current with emerging technologies in AI, Generative AI, Machine Learning, Deep Learning, and Data Engineering.

Required Technical Skills:

  • Strong experience in Data Science and Data Science Architecture.
  • Advanced Python programming skill
  • Strong knowledge of Machine Learning, Statistical Modeling, Predictive Analytics, and Data Mining.
  • Experience with ML frameworks such as Scikit-learn, TensorFlow, PyTorch, XGBoost, or similar.
  • Strong understanding of data architecture, data pipelines, ETL/ELT, and data processing.
  • Experience with SQL and relational/non-relational databases.
  • Hands-on experience with cloud-based data and AI platforms.
  • Strong understanding of MLOps, model deployment, model monitoring, and ML lifecycle management.
  • Experience with distributed data processing technologies such as Spark/PySpark.
  • Experience with data visualization and analytical tools such as Power BI, Tableau, or similar.
  • Strong understanding of APIs, microservices, data integration, and enterprise architecture.

Preferred Skills:

  • Experience with Generative AI, Large Language Models (LLMs), NLP, or Deep Learning.
  • Experience with Azure Machine Learning, AWS SageMaker, Google Vertex AI, or equivalent platforms.
  • Experience with Databricks and modern cloud data platforms.
  • Knowledge of Vector Databases, RAG, embeddings, and AI application architecture.
  • Experience implementing CI/CD pipelines for machine learning solutions.
  • Knowledge of data governance, security, privacy, and compliance requirements.
  • Experience working with large-scale enterprise data environments.
  • Strong communication, presentation, problem-solving, and stakeholder-management skills.

Education & Experience:

  • Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field.
  • 8+ years of experience in Data Science, Machine Learning, Data Engineering, or related technology roles.
  • Demonstrated experience designing and delivering enterprise-scale data science and AI/ML solutions.
  • Proven ability to provide technical leadership and work across business and technology teams.

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