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Data Scientist Jobs in Texas (NOW HIRING)

About the Data Scientist position We are looking for a skilled Data Scientist who will help us analyze large amounts of raw information to find patterns and use them to optimize our performance. You ...

Data Scientist Location: Irving, TX- 3 days in office. Duration: 6-12 months Detail Bachelor's degree in Computer Science, Statistics, Data Science, or a related field. Master's degree or higher ...

Why Join Our Data Science Team? At State Farm, we are dedicated to helping our team members develop to their full potential. As a Data Scientist, you have the unique opportunity to develop both ...

About the Data Scientist position We are looking for a skilled Data Scientist who will help us analyze large amounts of raw information to find patterns and use them to optimize our performance. You ...

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 ...

Data Scientist Location: Houston, TX (Fulltime) Environment: Standard, 5-days onsite : Must-Have (Technical Expertise & Core Responsibilities) * Data Science & Machine Learning: * Strong foundation ...

As a Data Scientist , you will be responsible for assisting our clients envision, design, develop, and deploy machine learning solutions in Microsoft Azure. As part of a small, dynamic team, you will ...

Data Scientist Location: Grand-Prairie, TX Duration: Long Term project Full-Time Position Data Scientist skilled in building scalable cloud data pipelines for high-volume manufacturing and IoT data ...

As a Data Scientist/Data Science Specialist for Adidev Technologies Inc., you will be enhancing and debugging large-scale applications for one of our well-known clients. Adidev Technologies is a ...

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

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

DATA SCIENTIST W2 Candidates only Addison, TX/ Chandler, AZ/ Kennesaw, GA Years of Experience required : 8 - 9 + Must Have skills: create & Implemented AI/ML model experience, create Data pipelines ...

Data Scientist

Dallas, TX · On-site

$65 - $75/hr

Data Scientist - Integrated Operations Location: Dallas, TX (Hybrid Remote) In-Person Interview Must be authorized to work in the U.S Work Arrangement - Hybrid work model: primarily remote within the ...

Data Scientist

Dallas, TX · On-site

$112.50 - $137.50/hr

Data Scientist Job Location: 8115 Preston Road, Suite 400, Dallas, TX 75204 Rate of Pay: $125,000 Data Scientist needed by Welltower, Inc. in Dallas, TX to Support the Business Insights team with ...

As a Data Scientist/Data Science Specialist for Adidev Technologies Inc., you will be enhancing and debugging large-scale applications for one of our well-known clients. Adidev Technologies is a ...

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

Data Scientist

Westlake, TX · On-site

$150 - $230/hr

Who You Are You are a curious and experienced Data Scientist who enjoys solving real‑world problems with a hyper‑focus on impact. You're comfortable owning the full lifecycle of a project -- from ...

Required Skills * 10+ years of hands-on experience in Applied Data Science, Analytics Engineering, and Systems Modeling. * 5+ years of client-facing, consulting, or business development experience ...

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Data Scientist information

See Texas salary details

$34.9K

$114.3K

$183.1K

How much do data scientist jobs pay per year?

As of Aug 11, 2026, the average yearly pay for data scientist 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 are the key skills and qualifications needed to thrive as a data scientist, and why are they important?

To thrive as a Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, typically supported by a degree in computer science, mathematics, or a related field. Familiarity with machine learning frameworks, data visualization tools, and big data platforms like TensorFlow, Tableau, and Hadoop, as well as certifications in data science, are highly valued. Excellent problem-solving skills, curiosity, and the ability to communicate complex findings clearly set outstanding data scientists apart. These skills and qualities are crucial for extracting actionable insights from data, driving business decisions, and collaborating effectively with stakeholders.

What do data scientists do?

Data scientists collect, confirm, and interpret data to determine useful information for their employer. They help organizations identify patterns and trends in their data to provide information about lucrative opportunities, necessary improvements, and potential innovations. The information data scientists get from the records they gather helps businesses make major decisions in critical areas, such as product development, sales and marketing techniques, and client retention. Data scientists are highly educated; the majority of them have at least a master's degrees, and many have doctorates. Data scientists are valuable members of organizations in many different industries, including pharmaceuticals, manufacturing, and banking.

Is a data scientist job still in demand?

Yes, data scientist roles remain in high demand across various industries due to the increasing reliance on data-driven decision making. Skills in machine learning, statistical analysis, and programming languages like Python or R are highly valued, and employment opportunities continue to grow as organizations seek to leverage big data for competitive advantage.

Is data science a math heavy field?

Data scientists rely heavily on mathematics, including statistics, linear algebra, and calculus, to analyze data and develop models. Strong math skills are essential for tasks like machine learning, data analysis, and algorithm development, often complemented by programming in languages such as Python or R. However, practical skills in data manipulation and domain knowledge are also important for success in the field.

What is the difference between Data Scientist vs Data Analyst?

AspectData Scientist
Required CredentialsDegree in Computer Science, Statistics, or related field; often requires advanced degrees
Work EnvironmentResearch and development, predictive modeling, machine learning projects
Employer & Industry UsageTech companies, finance, healthcare, consulting firms
Common Search & ComparisonOften compared due to overlapping skills in data analysis and modeling

Data Scientists focus on building predictive models, advanced analytics, and machine learning, often requiring higher-level technical skills and education. Data Analysts primarily interpret existing data, generate reports, and support decision-making with descriptive analytics. While both roles analyze data, Data Scientists handle complex modeling and predictive tasks, whereas Data Analysts focus on data interpretation and reporting.

What are some typical projects data scientists work on, and how do they collaborate with other teams?

Data Scientists often work on projects such as building predictive models, analyzing large datasets to uncover trends, and developing data-driven solutions to business problems. They regularly collaborate with cross-functional teams, including software engineers, data engineers, and business analysts, to ensure that their insights are actionable and aligned with business goals. Effective communication and teamwork are essential, as Data Scientists frequently need to present complex findings to non-technical stakeholders and incorporate feedback from various departments.
What are the most commonly searched types of Data Scientist jobs in Texas? The most popular types of Data Scientist jobs in Texas are:
What cities in Texas are hiring for Data Scientist jobs? Cities in Texas with the most Data Scientist job openings:
What are popular job titles related to Data Scientist jobs in TX? For Data Scientist jobs in TX, the most frequently searched job titles are:
Infographic showing various Data Scientist job openings in Texas as of August 2026, with employment types broken down into 84% Full Time, 4% Part Time, 4% Temporary, and 8% Contract. Highlights an 90% In-person, 4% Hybrid, and 6% Remote job distribution, with an average salary of $114,350 per year, or $55 per hour.

Full-time

Re-posted 20 days ago


Job description

About the Data Scientist position

We are looking for a skilled Data Scientist who will help us analyze large amounts of raw information to find patterns and use them to optimize our performance. You will build data products to extract valuable business insights, analyze trends and help us make better decisions.

We expect you to be highly analytical with a knack for analysis, math and statistics, and a passion for machine-learning and research. Critical thinking and problem-solving skills are also required.

Data Scientist responsibilities are:
  • Research and detect valuable data sources and automate collection processes

  • Perform preprocessing of structured and unstructured data

  • Design, implement and deliver maintainable and high-quality code using best practices (e.g. Git/Github, Secrets, Configurations, Yaml/JSON)

  • Review large amounts of information to discover trends and patterns

  • Create predictive models and machine-learning algorithms

  • Modify and combine different models through ensemble modeling

  • Organize and present information using data visualization techniques

  • Develop and suggest solutions and strategies to business challenges

  • Work together with engineering and product development teams

Data Scientist requirements are:
  • 3+ years' experience of working on Data Scientist or Data Analyst position

  • Significant experience in data mining, machine-learning and operations research

  • Experience with data modeling, design patterns, building highly scalable and secured solutions preferred

  • Prior experience installing data architectures on Cloud providers (e.g. AWS,GCP,Azure), using DevOps tools and automating data pipelines

  • Good experience using business intelligence/visualization tools (such as Tableau), data frameworks (such as Hadoop, DataFrames, RDDs, Dataclasses) and data formats (CSV, JSON, Parquet, Avro, ORC)

  • Advanced knowledge of R, SQL and Python; familiarity with Scala, Java or C++ is an asset

  • MA or PhD degree in Computer Science, Engineering or other relevant area; graduate degree in Data Science or other quantitative field is preferred
  • Must be a U.S. Citizen
Employment Type: FULL_TIME