Data Scientist Jobs in Texas
Data Scientist jobs in Texas are among the most active in the country, with strong demand concentrated in energy analytics, financial technology, healthcare informatics, and enterprise technology across entry-level through senior and principal roles. The largest hiring metros are Houston, Dallas-Fort Worth, and Austin, where employers like ExxonMobil, Dell Technologies, and USAA maintain substantial data science teams. The most in-demand specialties include machine learning engineering, NLP, and predictive analytics for oil-and-gas and financial services applications. Find a role that fits below and apply directly.
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Please Note:
- W2 candidates only – This position is open exclusively to candidates who can work on a W2 basis.
- No third-party applications – C2C/third-party submissions will not be accepted.
Job Title: Data Scientist
Location: Irving, TX (Onsite)
Hire Type: Contract (12 months+)
Work Timings: 7:00 am - 4:30 pm CDT
Education:
Bachelor's degree in AI, Data Science, Computer Science or any other relevant field (required)
Master's or PhD also acceptable.
Experience:
- 5–7 years of professional experience
- 2+ years of experience applying Python (NumPy, SciPy, pandas, etc.) to solve business challenges
- Experience with cloud technologies (AWS, Azure, Google Cloud, etc.)
Top 3 Critical Skills:
- Built agents in Dataiku & Snowflake Cortex (structured data) — critical
- Workflow automation in Dataiku recipes & Python (writing programming logic)
- Experience with LangGraph, Langchain, CrewAI
Technical Requirements:
- Multi-agent architecture and orchestration patterns (agent collaboration, planning, delegation, workflow orchestration)
- Reusable agent frameworks and reference architectures
- Security, access control, and governance (RBAC, personas, authorization models, guardrails)
- Auditability and compliance considerations
- Enterprise integrations (Microsoft Teams, SharePoint, email, PDFs, enterprise data sources)
- Event-driven and batch processing architectures
- API and workflow integration best practices
- Agent evaluation, testing, and observability (offline/online evaluation, groundedness, relevance, hallucination detection, task success measurement)
- Automated regression testing, monitoring, observability, and performance tracking
- Prompt engineering and agent design patterns (prompt optimization, reusable prompts, skills, tools, agent design frameworks)
- Human-in-the-loop workflows (approval processes, escalation paths, feedback loops, continuous improvement)
- Dataiku application development and UX (Dataiku WebApps, production-ready front-end development, enterprise adoption best practices)
- Deployment, operationalization, and scalability (deployment automation, monitoring, governance)
- Cost and performance optimization (LLM selection, latency, token consumption, operational cost management, performance tuning)
- MCP experience in multi-agent systems for Agent-to-Agent communication (desired)
- Advanced data analysis and statistical methods (regression, hypothesis testing, ANOVA, statistical process control) (desired)
- Machine learning techniques (Clustering, Logistic Regression, CART, Random Forests, SVM, Neural Networks) (desired)
- Design/development of heavy equipment (automotive, aerospace, engine, transmission, construction, mining, industrial) (desired)
See All 136+ Data Scientist Jobs in Texas
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Find Data Scientist JobsData Scientist Jobs by City in Texas
Where Texas roles are concentrated, by current openings.
Data Scientist Job Market in Texas
A snapshot from current Texas openings, updated as new roles post.
Who's Hiring



Top Industries Hiring
- Technology & Software21
- Electronics & Hardware6
- Consulting & Professional Services6
- Education2
- Banking & Financial Services2
What Texas Employers Look For
The qualifications that appear most often in data scientist jobs across Texas.
- Bachelor's or master's degree in statistics, computer science, or a related quantitative field
- Proficiency in Python and SQL for data wrangling, modeling, and pipeline development
- Experience with machine learning frameworks such as scikit-learn, TensorFlow, or PyTorch
- Ability to communicate analytical findings clearly to non-technical business stakeholders
- Familiarity with cloud platforms, particularly AWS or Azure, for deploying models at scale
- Domain knowledge in energy, financial services, or healthcare preferred by Texas employers
Data Scientist Jobs in Texas: Frequently Asked Questions
How do you become a data scientist in Texas?
Texas does not require a state-issued license to work as a data scientist, so the path runs through education and demonstrated skills. Most Texas employers expect at least a bachelor's degree in statistics, computer science, mathematics, or engineering, with a master's degree preferred for senior roles. Building a portfolio of projects in Python or R and earning recognized credentials such as AWS Certified Machine Learning or Google Professional Data Engineer strengthens applications significantly in the Texas market.
How much do data scientists make in Texas?
Data scientists in Texas earn a median of about $122,090 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $64,540 for the lowest 10% to over $170,780 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire data scientists in Texas?
Employers hiring data scientists in Texas right now include Capgemini, JPMorganChase, and Apple, based on current listings on Migrate Mate as of September 2026. Texas's concentration of energy corporations in Houston, financial services firms in Dallas, and technology companies in Austin means demand stays consistent across multiple industries throughout the year.
Which Texas cities have the most data scientist jobs?
Austin, Houston, and Plano account for the majority of data scientist openings in Texas. Houston's demand is driven by energy giants and healthcare systems, Dallas-Fort Worth by financial services firms and large corporate headquarters, and Austin by its dense technology sector, which includes semiconductor companies, SaaS businesses, and growing enterprise analytics teams.
Are there remote data scientist jobs in Texas?
Yes, and more than most fields. About 53% of data scientist openings tied to Texas are remote or hybrid as of September 2026, reflecting how central this role is to analytical and desk-based work. Fully remote openings are most common in machine learning and business intelligence roles, while positions requiring access to proprietary data infrastructure or lab environments tend to be on-site.
How can I get hired as a data scientist in Texas with little or no experience?
The most realistic entry path is landing an analyst or junior data role first and building toward a data scientist title from there. Large Texas employers including energy companies in Houston and financial institutions in Dallas regularly hire for data analyst and business intelligence associate roles that accept recent graduates. Texas universities produce strong pipeline programs, and completing a capstone project or Kaggle portfolio before applying gives candidates a measurable edge over peers without hands-on examples.
Where can I find and apply to data scientist jobs in Texas?
You can find and apply to data scientist jobs in Texas on Migrate Mate, which lists current openings tied to Texas employers. Find roles that match your experience and specialization and apply directly to each one. No account is required to see or apply to listings.
See All 136+ Data Scientist Jobs in Texas
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