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Data Scientist Machine Learning Jobs in Dallas, TX

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

Key Responsibilities Structured Data - Machine Learning & Analytics * Build, deploy, and optimize ... Core Data Science Engineering & MLOps * Work in Databricks for ETL, feature engineering, ML ...

The Senior Machine Learning Scientist develops advanced algorithms and models to extract valuable ... Data Analysis: Analyze large, diverse data sets to identify patterns, trends, and insights that ...

The Senior Machine Learning Scientist develops advanced algorithms and models to extract valuable ... Data Analysis: Analyze large, diverse data sets to identify patterns, trends, and insights that ...

Machine Learning Engineer

Addison, TX · On-site +1

$110K - $130K/yr

... Scientists, Data Engineers, and Data Architects on production systems and applications Stay up-to-date with industry trends and advancements in artificial intelligence/machine learning On call ...

Staff Data Scientist

Dallas, TX · On-site

$153.90 - $220/hr

As a Staff Data Scientist, you will play a pivotal role in our Data Science and Machine Learning (DSML) team, driving high‑impact projects that shape our product experience and capabilities. You ...

New

Senior Data Scientist

Frisco, TX · On-site

$128 - $180/hr

The Risk Data Science team is looking for a Senior Data Scientist to develop advanced machine learning and statistical models, guide measurement, strategy, and data-driven decision making to support ...

Showing results 21-40

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.

Data Scientist

Sarian, Inc.

Addison, TX • On-site

Full-time

Re-posted 10 days ago


Job description

JD:
  • 7+ yrs of experience as data scientist or related roles.
  • Deep understanding and some exposure to new Gen AI open-source models.
  • Atleast 5 years of experience in software development and agile process.
  • Atleast 5 years python (or equivalent) programming experience to work with ML/NLP models.
  • Experience in setting up supervised unsupervised learning ML/NLP models including data cleaning, data analytics, feature creation, model selection ensemble methods, performance metrics visualization.
  • Experience in ML/NLP development pipelines of large datasets, both structured unstructured.
  • Atleast 2 years experience in designing and developing enterprise scale ML/NLP solutions in one or more of: Named entity recognition, document classification, document summarization, topic modelling, dialog systems, sentiment analysis, ocr text processing.
  • Knowledge and hands-on experience working with OCR products.
  • Primary skills: Data scientist, Secondary skills: Artificial intelligence/Machine learning.