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Full Stack Data Scientist Jobs in Texas (NOW HIRING)

Saronic Technologies

Full Stack Engineer

Austin, TX · On-site

Required : • Bachelor's degree in Computer Science, Engineering, or related field; Master ... data structures, and algorithms • Experience with server-side development using Node.js and ...

Redolent, Inc

Full Stack-Developer

Dallas, TX · On-site

Full Stack Develoer LOCATION: Dallas, TX DURATION: 6+ months Rate: DOE More focus on back-end ... Bachelor's degree in Computer Science or Computer Information Systems * 6+ years of experience in e ...

Kodiak Gas

Full Stack Developer

The Woodlands, TX · On-site

This role blends traditional full-stack development with low-code platforms, data engineering, and ... Bachelor's degree in Computer Science, Computer Information Systems, or a related field, or ...

Stellar IT Group

Full-stack developers

Dallas, TX · On-site

Full-Stack Developers Type: Contract-to-Hire Location: Hybrid - Dallas Tech Hub (Dallas, TX) or ... Write and optimize SQL queries for data validation, reporting, and backend support. * Collaborate ...

TEKFORTUNE INC

Full Stack Developer

Austin, TX · On-site

They are seeking a Full Stack Developer to design, build, and maintain full-stack features across ... Data teams to translate ideas into impactful solutions, demonstrating ownership from concept to ...

SLB

Full Stack Engineer

Houston, TX · On-site

The Full Stack Software Engineer is responsible for developing web applications using third-party ... Bachelor in Computer Science, Computer Engineering, Mathematics or Applied Statistics * 5+ years of ...

Photon

Senior Full Stack Developer

Dallas, TX · On-site

... in Computer Science or related field 7+ years of experience in full stack development Strong ... of data structures, algorithms, and design patterns Preferred Skills Experience with cloud ...

Cymertek

Full Stack Developer

San Antonio, TX · On-site

Full Stack Developer LOCATION San Antonio, TX 78208 CLEARANCE TS/SCI Full Poly (Please note this ... Data Science, Cybersecurity, Information Systems, Interactive Media, Mathematics, Artificial ...

InfoTrellis

Full Stack Engineer

Roanoke, TX · On-site

Required : • Bachelor's / Master's degree or equivalent in Computer Science or Engineering • ... IT strategy and cutting-edge Data Modernization solutions. Founded in 2007, the company is ...

Staffingine LLC

full stack developer

Coppell, TX · On-site

Looking for a strong full stack developer with experience in developing angular based data heavy web applications with Java, spring boot, hibernate in middle layer. * Experience in developing web ...

TiltEdge Solutions LLC

AI Full Stack Engineer

Plano, TX · On-site

$95K - $105K/yr

AI Full Stack Engineer Work Location: Plano, TX Duration: Fulltime/Direct Hire * Design and build ... data-intensive and high-scale platforms. Qualification: * Bachelor's degree in computer science ...

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Showing results 41-60

All JobsFull Stack Data Scientist JobsFull Stack Data Scientist Jobs in Texas

Full Stack Data Scientist information

See Texas salary details

$42.9K

$153.7K

$226.9K

How much do full stack data scientist jobs pay per year?

As of Aug 8, 2026, the average yearly pay for full stack data scientist in Texas is $153,740.00, according to ZipRecruiter salary data. Most workers in this role earn between $124,400.00 and $158,400.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a full stack data scientist?

To thrive as a Full Stack Data Scientist, you need expertise in data analytics, statistical modeling, machine learning, as well as proficiency in both backend (e.g., Python, SQL) and frontend (e.g., JavaScript, React) development, typically supported by a degree in computer science, data science, or a related field. Experience with tools such as TensorFlow, Scikit-learn, Docker, and cloud platforms, along with relevant certifications, is highly valued. Strong problem-solving abilities, clear communication, and the capability to work cross-functionally make candidates stand out. These skills are essential for building robust end-to-end data-driven solutions that can be deployed and maintained within real-world business environments.

What is a full stack data scientist?

A Full Stack Data Scientist is a professional who handles the entire data science workflow, from data collection and processing to model development, deployment, and monitoring. They possess skills in data engineering, machine learning, software development, and cloud technologies. Their role bridges the gap between data science and production systems, ensuring that insights and models are effectively integrated into real-world applications.

What kind of projects do full stack data scientists typically work on?

Full Stack Data Scientists commonly work on projects that span the entire data pipeline, including data collection, cleaning, model development, and deployment of interactive data-driven applications. They may develop machine learning models to solve business problems and then create dashboards or web apps to enable non-technical teams to interact with the results. Collaboration is frequent with data engineers, product managers, and business stakeholders to align technical solutions with organizational goals. These projects offer opportunities to make a tangible impact by turning raw data into actionable insights and scalable tools.

What are the most commonly searched types of Full Stack Data Scientist jobs in Texas? The most popular types of Full Stack Data Scientist jobs in Texas are:
What are popular job titles related to Full Stack Data Scientist jobs in Texas? For Full Stack Data Scientist jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Full Stack Data Scientist jobs in Texas look for? The top searched job categories for Full Stack Data Scientist jobs in Texas are:
Full Stack Data Scientist jobs near you
Infographic showing various Full Stack Data Scientist job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $153,740 per year, or $73.9 per hour.

Principle Java Full Stack Engineer (Lead)

SWITS DIGITAL Private Limited

Richardson, TX • On-site

Full-time

Posted 27 days ago

Job description

Greetings from Smart Work IT Services
Job Role: Principal Full-Stack Engineer
Location: Richardson, TX (Hybrid - Onsite) - Non local accepted (Needed 100% confirmation from Candidate on Relocation)Contract: Contract Role
Interview Process: Client Face-to-Face Interview (Final Level)
Flight ticket reimbursement will be provided for candidates attending the client face-to-face interview.
About the Role
We are hiring a Principal Full-Stack Engineer to design, build, and operate scalable enterprise applications on a modern Java, Python, and ReactJS stack. This is a senior individual-contributor role with technical leadership scope: you will own architecture decisions, drive engineering excellence, integrate AI capabilities into production systems, and mentor mid- and junior-level engineers. The right candidate has deep hands-on expertise across backend, frontend, cloud-native microservices, and DevSecOps practices - and the judgment to make trade-offs in ambiguity without waiting for direction.
Must-Have Technologies: ReactJS, Python, Java 17+, Microservices, AWS/Azure, RDBMS, NoSQL, LLM , Oauth.2
Responsibilities
  • Own architecture decisions and drive engineering excellence on a modern Java, Python, and
    ReactJS stack.
  • Integrate AI capabilities into production systems, including LLMs, embeddings, RAG
    pipelines, and agentic workflows.
  • Drive architectural decisions and set technical direction across cross-functional teams.
  • Lead end-to-end delivery of complex projects, from design through deployment.
  • Mentor mid- and junior-level engineers through complex tickets, debugging, root-cause
    analysis, and production incident response.
  • Coach engineers on writing effective unit and integration tests and navigating CI/CD
    pipelines with confidence.
  • Guide engineers into adjacent areas such as cloud computing, AI/ML, and DevOps to expand
    their scope and impact.
  • Collaborate with data science and ML teams to operationalize models, build evaluation
    pipelines, and deploy production-ready AI services.
  • Translate business requirements into scalable technical solutions and explain trade-offs to
    product, design, and executive stakeholders.

Required Skills
  • 10+ years of hands-on software development experience, with deep expertise in modern Java full-stack development.
  • Strong command of Java frameworks and libraries, including Spring, Spring Boot, and Hibernate.
  • Proven experience building single-page web applications using ReactJS, Bootstrap, and Node.js.
  • Strong hands-on proficiency with Python for scripting, automation, data processing, and backend services.
  • Proven ability to build responsive, intuitive user interfaces and translate UI/UX mockups into production-ready experiences.
  • Demonstrated experience architecting and implementing microservices and event-driven systems using messaging platforms such as Kafka or RabbitMQ.
  • Expertise developing and maintaining RESTful APIs, backend services, and database schemas across relational (SQL Server, PostgreSQL) and NoSQL (MongoDB, Elasticsearch) platforms.
  • Strong SQL development skills, including query optimization and performance tuning.
  • Hands-on experience deploying and operating containerized microservices on AWS and/or Azure, applying cloud-native patterns and infrastructure-as-code.
  • Working knowledge of modern security frameworks and standards such as OAuth 2.0, OpenID Connect, and JWT.
  • Proven ability to proactively detect and remediate security vulnerabilities across application code and infrastructure, ensuring compliance within established SLAs.
  • Experience with modern testing frameworks (Jest, Mocha, Chai) and a commitment to test- driven development, including unit and integration testing.
  • Ability to enforce engineering best practices through peer code reviews, architectural standards, and raising the bar on code quality.
  • Proven ability to troubleshoot complex, cross-stack production issues and drive root-cause analysis to resolution.
  • Experience participating in Agile ceremonies and managing work and releases through Jiraand Azure DevOps.
  • Hands-on experience with Agile methodologies and DevOps culture across the softwaredelivery lifecycle.

AI & Generative AI
  • Practical experience integrating Large Language Models into applications via APIs (e.g., OpenAI, Anthropic Claude, Azure OpenAI, AWS Bedrock).
  • Familiarity with prompt engineering, Retrieval-Augmented Generation (RAG), embeddings, and vector databases.
  • Experience integrating AI capabilities - LLMs, embeddings, RAG pipelines, agentic workflows - into existing applications and new product features.
  • Experience collaborating with data science and ML teams to operationalize models, build evaluation pipelines, and deploy production-ready AI services.
  • Understanding of responsible AI practices, including data privacy, hallucination mitigation, evaluation, and guardrails.

Leadership & Soft Skills
  • Proven ability to lead, mentor, and grow engineering teams, fostering technical excellence and continuous learning.
  • Experience driving architectural decisions and setting technical direction across cross- functional teams.
  • Strong stakeholder management - translates business requirements into scalable technical solutions and explains trade-offs to product, design, and executive stakeholders.
  • Track record of leading end-to-end delivery of complex projects, from design through deployment.
  • Excellent written and verbal communication - articulates complex technical concepts clearly to technical and non-technical audiences.
  • Active listener who engages effectively with designers, architects, product managers, and end users to understand needs and drive alignment.
  • Strategic thinker who balances short-term delivery pressure with long-term technical investment and debt management.
  • Ownership mindset - accountable for outcomes, proactive in driving initiatives forward.
  • Conflict-resolution and negotiation skills to align diverse perspectives and drive consensus on technical direction.
  • Adaptability and resilience in fast-paced environments with shifting priorities.

Good to Have
  • Hands-on experience with Palantir Foundry - building pipelines, ontologies, and data- driven applications.
  • Familiarity with Palantir's development tooling: PySpark transforms, TypeScript-based Functions, and Workshop.
  • Exposure to enterprise-scale data integration and operational analytics workflows built on Palantir.
  • Exposure to AI/ML frameworks and tooling such as LangChain, LlamaIndex, or Hugging Face.
  • Ability to identify and apply AI-driven solutions to real-world business problems and integrate them into enterprise applications.

Apply