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Full Stack Data Scientist Jobs in Texas (NOW HIRING)

Data Scientist Location: Dallas, TX Hybrid Role Summary Data Scientists bridge raw data and ... SQL Tech Stack Category Tools Languages Python, R, SQL ML Libraries Scikit-learn, TensorFlow ...

Develop and maintain data exchange and persistence layers using XML, JSON, and PostgreSQL (AWS RDS ... Bachelor's degree or higher (computer science background recommended but not required with suitable ...

Full Stack Software Engineer LOCATION San Antonio, TX 78208 CLEARANCE TS/SCI Full Poly (Please note ... Development, Computer Engineering, Data Science, Information Systems, Cloud Computing ...

... data access, automation, and user experience. The Full Stack Developer III brings strong front-end ... Bachelor's degree in Computer Science, Software Engineering, Information Systems, or a related ...

Job Title: Sr. Full stack Developer Job Location: Austin, Texas Job Type: Contract * Architect and ... Collaborate with product managers data engineers data analysts data scientists and other ...

... data access, automation, and user experience. The Full Stack Developer III brings strong front-end ... Bachelor's degree in Computer Science, Software Engineering, Information Systems, or a related ...

... data access, automation, and user experience. The Full Stack Developer III brings strong front-end ... Bachelor's degree in Computer Science, Software Engineering, Information Systems, or a related ...

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 ...

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 ...

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 ...

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 ...

... 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 ...

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 ...

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 ...

Full Stack Developer (React & Java) Location: Austin, TX / Hybrid Department: Engineering ... Integrate frontend and backend systems, handle authentication (JWT, OAuth), and ensure secure data ...

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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 Jul 18, 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 in the Full Stack Data Scientist position, and why are they important?

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 job?

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:

Other

Re-posted 8 days ago


Job description

Role: Data Scientist

Location: Dallas, TX

Hybrid

Role Summary

Data Scientists bridge raw data and actionable business insights - building predictive models, running experiments, and communicating findings to both technical and non-technical stakeholders.

Key Responsibilities

Extract insights from large datasets to inform strategic decisions

Develop predictive models and ML algorithms to forecast trends

Identify patterns, anomalies, and opportunities for improvement

Enable data-driven decisions through analytics and visualization

Requirements

1-5 years in a data analyst, data scientist, or ML engineer role

Strong foundation in statistics, probability, and data modeling

Proficiency in Python, R, or SQL

Tech Stack

Category

Tools

Languages

Python, R, SQL

ML Libraries

Scikit-learn, TensorFlow, PyTorch

GenAI / LLMs

LangChain, OpenAI APIs, Hugging Face

MLOps

MLflow, Docker, Airflow

Cloud

AWS