1

Data Scientist Machine Learning Jobs in Texas (NOW HIRING)

MedReview is looking for a talented and experienced Data Scientist to join our dynamic team ... As a part of our team, you will leverage your analytical skills and expertise in machine learning ...

They are seeking a Data Scientist with extensive experience in data mining and machine learning to tackle business analytics challenges. Qualifications : Required : • Minimum 8 years of relevant ...

AI/ML Data Scientist Location: Dallas, TX (Onsite) Key Responsibilities ... Translate business problems into well-defined machine learning and predictive modeling objectives.

Overview SOSi is seeking a Data Scientist to join our team ... In this role, you will leverage statistical analysis, machine learning, and data visualization ...

Overview SOSi is seeking a Data Scientist to join our team ... In this role, you will leverage statistical analysis, machine learning, and data visualization ...

... Machine Learning, Data Science, Operations Research, or Computer Science. • A degree in a related field, a degree in the physical/hard sciences, or other science disciplines with a substantial ...

Overview SOSi is seeking a Data Scientist to join our team ... In this role, you will leverage statistical analysis, machine learning, and data visualization ...

Expertise in statistical modeling, machine learning, and predictive analytics. * Strong proficiency ... Mentor data scientists and promote best practices in analytics and machine learning. * Support ...

Data Scientist

San Antonio, TX · On-site

$130K - $150K/yr

Data Scientist Location: San Antonio, TX Full-Time About the Role We are seeking an experienced ... Perform statistical analysis, machine learning, and exploratory data analysis * Develop dashboards ...

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 ...

Expertise in statistical modeling, machine learning, and predictive analytics. * Strong proficiency ... Mentor data scientists and promote best practices in analytics and machine learning. * Support ...

Applied Scientist

Austin, TX

$175K - $308K/yr

  • Medical

  • Dental

  • Retirement

... 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

$175K - $308K/yr

  • Medical

  • Dental

  • Retirement

... 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 ...

Expertise in statistical modeling, machine learning, and predictive analytics. * Strong proficiency ... Mentor data scientists and promote best practices in analytics and machine learning. * Support ...

Expertise in statistical modeling, machine learning, and predictive analytics. * Strong proficiency ... Mentor data scientists and promote best practices in analytics and machine learning. * Support ...

TX · On-site

Expertise in statistical modeling, machine learning, and predictive analytics. * Strong proficiency ... Mentor data scientists and promote best practices in analytics and machine learning. * Support ...

Showing results 41-60

Data Scientist Machine Learning information

See Texas salary details

$34.9K

$114.3K

$183.1K

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

As of Aug 12, 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?

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 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:
Infographic showing various Data Scientist Machine Learning job openings in Texas as of August 2026, with employment types broken down into 81% Full Time, and 19% Contract. Highlights an 85% In-person, 10% Hybrid, and 5% Remote job distribution, with an average salary of $114,350 per year, or $55 per hour.

Data Scientist

MedReview

Austin, TX • On-site

Full-time

Re-posted 27 days ago


Job description

Position Summary: 
MedReview is looking for a talented and experienced Data Scientist to join our dynamic team. As a part of our team, you will leverage your analytical skills and expertise in machine learning to extract insights from complex datasets and drive data-driven decision-making across our organization. You will collaborate closely with cross-functional teams to develop predictive models, uncover actionable insights, and solve challenging business problems. As part of a global team of developers and analysts, the Data Scientist will work with a larger team to design, build, validate, refine, and operationalize models. This position will sit in Austin, Texas. However, for the right fit, we may consider remote
Responsibilities:
  • Problem Identification: Collaborate with stakeholders to identify business challenges that can be solved through data analysis.
  • Data Collection & Preparation: Gather data from various sources (SQL databases, APIs, web scraping), then clean and "wrangle" it to ensure accuracy for modeling.
  • Model Development: Design and implement algorithms and predictive models using machine learning techniques to forecast outcomes or categorize information.
  • Exploratory Data Analysis (EDA): Analyze datasets to uncover hidden patterns, trends, and anomalies.
  • Communication & Visualization: Translate technical findings into "data stories" using tools like Tableau or Power BI to influence executive decisions. 
Qualifications: 
  • Master’s degree or bachelors degree and equivalent experience in a quantitative field (Math, CS, Stats)
  • Programming: Proficiency in Python or R  along with SQL for database querying.
  • Mathematics & Statistics: Strong foundation in linear algebra, calculus, and statistical modeling.
  • Machine Learning: Experience with frameworks like TensorFlow, PyTorch, or scikit-learn.
Soft Skills: Critical thinking, curiosity, and the ability to explain complex concepts to non-technical audiences. Experience working with global and remote teams

Powered by JazzHR

WlyC1tysjt