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Data Science Graduate Jobs in Texas (NOW HIRING)

Parkhill

Senior Data Scientist

Austin, TX

Whether you are a recent graduate with untapped potential or a professional with proven experience ... Contribute to the growth of Parkhill's data science capabilities. * Stay current with emerging ...

Parkhill

Senior Data Scientist

Houston, TX

Whether you are a recent graduate with untapped potential or a professional with proven experience ... Contribute to the growth of Parkhill's data science capabilities. * Stay current with emerging ...

Parkhill

Senior Data Scientist

Austin, TX

Whether you are a recent graduate with untapped potential or a professional with proven experience ... Contribute to the growth of Parkhill's data science capabilities. * Stay current with emerging ...

Stanford Health Care

Data Scientist - AI/ML

Alto, TX

$79.21 - $104.97/hr

Reporting to the Data Science Director and working closely with Stanford Medicine's inaugural Chief ... Graduate level understanding of techniques in machine learning, knowledge representation, and ...

US Department of the Air Force

$49K/yr

Mathematics, statistics, computer science, data science or field directly related to the position ... graduate education leading to a master's degree or equivalent graduate degree: a) Grade Point ...

Vangard, Inc.

Data Scientist, Specialist

Dallas, TX

... advanced data science and big data mining techniques to uncover trends, inform strategic ... Graduate degree preferred. * Expertise in programming with Python, R, or SQL; hands-on experience ...

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Data Science Graduate information

See Texas salary details

$34.9K

$114.3K

$183.1K

How much do data science graduate jobs pay per year?

As of Jun 22, 2026, the average yearly pay for data science graduate 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 is the difference between Data Science Graduate vs Data Analyst?

AspectData Science GraduateData Analyst
Required CredentialsDegree in Data Science, Computer Science, or related fieldDegree in Statistics, Mathematics, or related field
Work EnvironmentInternships, entry-level roles in tech or finance companiesBusiness, marketing, or finance departments across industries
Employer & Industry UsageTech firms, startups, research institutionsCorporations, consulting firms, government agencies
Common Search & ComparisonYesYes

Data Science Graduates typically focus on building models, machine learning, and advanced analytics, often requiring programming skills and a strong foundation in data science concepts. Data Analysts primarily interpret data, generate reports, and support decision-making with statistical tools. While both roles analyze data, Data Science Graduates usually work on more complex modeling tasks, whereas Data Analysts focus on data interpretation and visualization.

What types of projects and responsibilities can a Data Science Graduate expect in their first role?

As a Data Science Graduate, you can expect to work on a variety of projects such as data cleaning, exploratory data analysis, and building predictive models under the guidance of senior team members. Typical responsibilities include preparing datasets, validating model outputs, and presenting findings to both technical and non-technical stakeholders. You’ll often collaborate with data engineers, software developers, and business analysts to ensure your solutions align with organizational goals. This early-career role is a great opportunity to learn industry-standard tools, gain mentorship, and build a portfolio of impactful projects.

What are the key skills and qualifications needed to thrive as a Data Science Graduate, and why are they important?

To thrive as a Data Science Graduate, you need strong analytical skills, a solid understanding of statistics, and proficiency in programming languages like Python or R, typically backed by a relevant degree. Familiarity with data visualization tools (e.g., Tableau), machine learning frameworks (e.g., scikit-learn, TensorFlow), and database management systems (e.g., SQL) is highly valuable. Strong communication, problem-solving, and adaptability help you convey insights and collaborate effectively with diverse stakeholders. These skills enable you to extract meaningful information from data, drive informed decisions, and add value to organizations in a data-driven world.

What are Data Science Graduates?

Data Science Graduates are individuals who have recently completed a degree or certification program in data science or a related field. They possess foundational knowledge in statistics, programming, and data analysis, and are equipped to apply these skills in real-world scenarios. These graduates are typically proficient in tools such as Python, R, SQL, and data visualization platforms, and are prepared for entry-level roles in data analytics, machine learning, or business intelligence. Their education often includes hands-on projects and internships to build practical experience. Data Science Graduates are in high demand across industries that rely on data-driven decision making.
What are popular job titles related to Data Science Graduate jobs in Texas? For Data Science Graduate jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Data Science Graduate jobs in Texas look for? The top searched job categories for Data Science Graduate jobs in Texas are:
What cities in Texas are hiring for Data Science Graduate jobs? Cities in Texas with the most Data Science Graduate job openings:
Data Science Graduate jobs near you

Senior Data Scientist

Parkhill

Austin, TX

Full-time

Medical, Life, Retirement, PTO

Posted 12 days ago

Job description

Overview

The Senior Data Scientist will leverage advanced analytics, machine learning, and AI to generate actionable insights that drive business decisions and project outcomes and support data and AI use cases. This role focuses on analyzing complex datasets, building predictive models, and advising multidisciplinary teams in architecture, engineering, and consulting services. The Senior Data Scientist will also contribute to the development of best practices for data and AI across the organization. This is a full-time position paid bi-weekly on a salary basis.

Life at Parkhill 

At Parkhill, Building Community is the reason we exist. We invest in extraordinary people who love investing in their communities. We are more than planners, architects, and engineers - we are neighbors who choose to live and work in the communities we serve. 

Increase your impact with our team of passionate collaborators. Whether you are a recent graduate with untapped potential or a professional with proven experience, we invite you to discover a career path designed for you. 

Parkhill is one of the largest architectural and engineering firms in the Southwest with14offices located throughout Texas, New Mexico, and Oklahoma. 

Responsibilities
  • Collaborate with the Data and AI governance group, Data and AI board, and Digital Practice group to set the direction for the Lakehouse infrastructure
  • Analyze large, diverse datasets to identify trends, patterns, and opportunities for operational or project improvements.
  • Develop predictive models and statistical analyses to inform planning, forecasting, and decision-making.
  • Create dashboards and visualizations that communicate insights to both technical and non-technical stakeholders.
  • Apply AI and machine learning methods, including generative AI, to support data and AI use cases.
  • Collaborate with business SMEs, data engineer, and the Digital Practice group to translate analytics into actionable recommendations.
  • Contribute to the growth of Parkhill's data science capabilities.
  • Stay current with emerging trends in AI, machine learning, and data science applicable to the AEC and consulting sectors.
Qualifications
  • Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or related field
  • 7+ years in data science, analytics, or AI roles
  • Experience with AEC, engineering, or consulting environments
  • Strong proficiency in Python or R, including relevant ML libraries
  • Expertise in SQL and experience with data visualization tools (Power BI, Tableau)
  • Familiarity with cloud platforms (Azure, AWS) for analytics and model deployment
  • Experience with generative AI frameworks

Benefits and Perks

We offer a comprehensive benefits program that supports the whole person. Our benefits include: 

  • Life Balance: hybrid/flexible work schedules, flexible work environment, generous PTO, paid holidays.  

  • Investing in Your Future Growth: specialized training, continuing education, professional licensing, intern development programs, University of Parkhill.  

  • Competitive Benefits: Multiple health plan options, FSA for dependent care, HSA contributions, employer 401k contribution, employer-paid basic life, short/long term disability coverage, performance bonuses.     

Employment Type: FULL_TIME

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