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Data Science Engineer Jobs in Texas (NOW HIRING)

Future Secure AI

AI Engineer, Data Science

Austin, TX · On-site

$113K - $136K/yr

About the Role As a Senior AI Engineer - Data Science , you will be a key technical leader within our advanced analytics and AI group. You will design, build, and deploy sophisticated machine ...

Mastech Digital

Data Scientist

Irving, TX · On-site

$65 - $70/hr

Basic Qualifications: - 2+ years of experience in statistical data science, feature engineering, and customer segmentation. - 2+ years of hands-on experience with Python, SQL, and PySpark. - 2+ years ...

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Mastech Digital

Data Scientist

Irving, TX · On-site

$65 - $70/hr

Basic Qualifications: - 2+ years of experience in statistical data science, feature engineering, and customer segmentation. - 2+ years of hands-on experience with Python, SQL, and PySpark. - 2+ years ...

Varsity Tutors

Data Science Tutor

Bryan, TX · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... programming, hypothesis testing, and communication of data-driven insights. Ability to explain ...

Varsity Tutors

Data Science Tutor

Edinburg, TX · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... programming, hypothesis testing, and communication of data-driven insights. Ability to explain ...

Varsity Tutors

Data Science Tutor

Carrollton, TX · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... programming, hypothesis testing, and communication of data-driven insights. Ability to explain ...

Varsity Tutors

Data Science Tutor

Lubbock, TX · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... programming, hypothesis testing, and communication of data-driven insights. Ability to explain ...

Varsity Tutors

Data Science Tutor

San Marcos, TX · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... programming, hypothesis testing, and communication of data-driven insights. Ability to explain ...

Varsity Tutors

Data Science Tutor

Grand Prairie, TX · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... programming, hypothesis testing, and communication of data-driven insights. Ability to explain ...

Varsity Tutors

Data Science Tutor

Corpus Christi, TX · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... programming, hypothesis testing, and communication of data-driven insights. Ability to explain ...

Varsity Tutors

Data Science Tutor

Arlington, TX · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... programming, hypothesis testing, and communication of data-driven insights. Ability to explain ...

Varsity Tutors

Data Science Tutor

Houston, TX · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... programming, hypothesis testing, and communication of data-driven insights. Ability to explain ...

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All JobsData Science Engineer JobsData Science Engineer Jobs in Texas

Data Science Engineer information

See Texas salary details

$41.5K

$120.9K

$165.4K

How much do data science engineer jobs pay per year?

As of Jul 2, 2026, the average yearly pay for data science engineer in Texas is $120,851.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,700.00 and $128,100.00 per year, depending on experience, location, and employer.

What engineers make 500,000?

Senior data science engineers, machine learning engineers, and software engineers with extensive experience and advanced skills in areas like AI, big data, and cloud computing can earn salaries of $500,000 or more, especially in high-cost-of-living regions or within top tech companies. Achieving this level often requires advanced degrees, certifications, and a strong track record of impactful projects.

Is 30 too late for data science?

Data Science Engineers can enter the field at any age, including 30, as success depends on skills, experience, and continuous learning. Many professionals transition into data science later in their careers by acquiring relevant knowledge in programming, statistics, and tools like Python or R. Age is less important than demonstrated expertise and the ability to adapt to evolving technologies.

What are the key skills and qualifications needed to thrive in the Data Science Engineer position, and why are they important?

A Data Science Engineer should have a strong background in statistics, machine learning, programming (typically Python or R), and data engineering, often supported by a degree in computer science, engineering, or a related field. Familiarity with data processing frameworks (like Spark or Hadoop), cloud platforms (AWS, GCP, or Azure), and certifications in data science or cloud technology are highly valued. Excellent problem-solving skills, communication abilities, and collaboration are essential soft skills for working effectively in cross-functional teams. These competencies enable Data Science Engineers to build scalable data solutions, deliver actionable insights, and drive business impact.

What are the typical daily responsibilities of a Data Science Engineer?

Data Science Engineers typically spend their days designing and building data pipelines, preparing and cleaning large datasets, and developing machine learning models to solve business problems. They work closely with data scientists, software engineers, and business stakeholders to translate requirements into scalable technical solutions. Responsibilities also include deploying models to production, monitoring their performance, and iterating on solutions based on feedback. This role offers a dynamic mix of coding, data analysis, and teamwork, making each day varied and intellectually engaging.

What is a Data Science Engineer job?

A Data Science Engineer is a professional who bridges the gap between data science and software engineering. They focus on designing, building, and maintaining scalable data pipelines, infrastructure, and machine learning models for production use. Their role involves data preprocessing, model deployment, performance optimization, and integrating AI solutions into applications. They work closely with data scientists, software engineers, and DevOps teams to ensure efficient data workflows.

What does a data science engineer do?

A data science engineer designs, develops, and maintains data pipelines and infrastructure to support data analysis and machine learning models. They work with large datasets, use programming languages like Python or Scala, and often collaborate with data scientists and software engineers to ensure data quality and accessibility.

Is data science high paying?

Data science engineers typically earn high salaries due to their specialized skills in statistical analysis, programming, and machine learning. Salaries vary by experience, location, and industry, but data science roles are generally considered well-compensated within the tech field.
What are the most commonly searched types of Data Science Engineer jobs in Texas? The most popular types of Data Science Engineer jobs in Texas are:
What are popular job titles related to Data Science Engineer jobs in Texas? For Data Science Engineer jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Data Science Engineer jobs in Texas look for? The top searched job categories for Data Science Engineer jobs in Texas are:
What cities in Texas are hiring for Data Science Engineer jobs? Cities in Texas with the most Data Science Engineer job openings:
Data Science Engineer jobs near you
Infographic showing various Data Science Engineer job openings in Texas as of June 2026, with employment types broken down into 1% As Needed, 94% Full Time, 3% Part Time, 1% Contract, and 1% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $120,851 per year, or $58.1 per hour.

AI Engineer, Data Science

Future Secure AI

Austin, TX • On-site

$113K - $136K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

About the Company
At Future Secure AI, we're building something genuinely new - and we're looking for people bold enough to build it with us. We work at the frontier of AI, tackling big, real-world problems for global enterprises across multiple industries, armed with state-of-the-art technology and a culture that prizes courage, rigor, and relentless curiosity. Our BRAVER values aren't just words on a wall - they describe the kind of people we are and the standard we hold ourselves to every day. Our leadership team is entrepreneurial, experienced, and accessible, with an open-door policy that means you'll never be just a number here. We invest seriously in your growth because we know our success depends on yours. If you're ready to work alongside some of the brightest minds in the industry, push into uncharted territory, and do work that genuinely matters, Future Secure AI is the place for you.
About the Role
As a Senior AI Engineer - Data Science, you will be a key technical leader within our advanced analytics and AI group. You will design, build, and deploy sophisticated machine learning systems-particularly LLM-driven solutions-that solve high-value, real-world problems for enterprise clients.
You'll be part of a culture that prizes technical excellence, creativity, and continuous learning. Beyond technical depth, you will influence strategy, mentor emerging talent, and help shape our approach to responsible and scalable AI.
Your work will directly contribute to AI systems that have the potential to transform industries-and society.
Responsibilities
  • Architect, build, and deploy machine learning models and LLM systems that drive meaningful impact for our products and users
  • Analyse complex, large-scale structured and unstructured datasets to uncover insights and opportunities
  • Enhance LLM output quality across diverse use cases, including optimisation of multi-step reasoning chains
  • Lead MLOps initiatives including model performance tracking, benchmark design, quality assurance, and compliance
  • Influence long-term data and AI strategy, including governance, ethical AI, and scalable frameworks
  • Collaborate closely with engineering, product, and executive stakeholders to deliver innovative, production-ready solutions
  • Mentor and uplift junior data scientists, setting standards for excellence

Minimum Qualifications
  • Bachelor's Degree in Data Science, Mathematics, Statistics, Computer Science or a related discipline
  • 5+ years of experience as a Data Scientist with hands-on experience and a track record of delivering impactful ML and AI outcomes
  • Experience within the AI sector
  • Experience with NLP techniques: LSTMs, CNNs, transformers, topic modelling, supervised NLP
  • Commercial experience with modern LLM ecosystems (e.g., LangChain, LlamaIndex, RAG pipelines, multi-agent frameworks, GPT-based systems)
  • Python experience focused on machine learning and NLP
  • Ability to translate complex technical concepts into clear, actionable insights for non-technical stakeholders
  • Empathy, humility, and a growth mindset-open to feedback and committed to collaboration
  • Comfort working in an agile, fast-evolving environment

Preferred Qualifications
  • Master's or Doctorate in Data Science, Mathematics, Statistics, Computer Science or a related discipline
  • Knowledge of other software languages in addition to Python

Why Join Us?
  • A high-performance culture
  • State-of-the-art technology
  • Experience world-class leadership
  • Scale of impact and purpose
  • A competitive salary and a huge growth trajectory
  • Work with the best in the industry
  • Flexible work environment
  • Diversity and creativity

Disclaimer: We do not wish to be contacted by recruitment agencies. Our hiring process is managed in-house and the best way for candidates to express interest is by applying with your resume through our company website.
Future Secure AI Privacy Policy
At Future Secure AI, we are committed to protecting your privacy and adhering to the principles of the General Data Protection Regulation (GDPR) and the Australian Privacy Principles (APPs) under the Privacy Act 1988 (Cth). Our Privacy Policy outlines how we collect, use, share, and protect your personal data when you visit our website at www.futuresecure.ai (the "Website") and use our services.

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