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Data Science Physics Jobs in Texas (NOW HIRING)

SpaceX

Data Engineer (Starlink)

Bastrop, TX · On-site

$113K - $136K/yr

Bachelor's degree in computer science, data science, physics, mathematics, or another STEM discipline * 1+ years of professional data engineering or software engineering experience (internship ...

SpaceX

Data Engineer (Starlink)

Bastrop, TX · On-site

$113K - $136K/yr

Bachelor's degree in computer science, data science, physics, mathematics, or another STEM discipline * 1+ years of professional data engineering or software engineering experience (internship ...

Kemper

Data Scientist

Austin, TX · Hybrid

Mathematics, Statistics, CS, Physics, MIS, Economics, Electrical Engineering, etc. * 2+ years' experience in a data science/ predictive analytics environment preferred. * Self-directed and able to ...

Kemper

Data Scientist

Dallas, TX · Hybrid

Mathematics, Statistics, CS, Physics, MIS, Economics, Electrical Engineering, etc. * 2+ years' experience in a data science/ predictive analytics environment preferred. * Self-directed and able to ...

Amazon

Hardware Dev Engr III - AMZ9890641

Irving, TX · On-site

$150K - $185K/yr

Master's degree or foreign equivalent degree in Engineering, Computer Science, Physics, Material ... data collection and analysis; (3) experimental design and execution skills, with the ability to ...

Cymertek

Data Scientist

San Antonio, TX · On-site

DEGREE (Level Desired) Bachelor's Degree DEGREE (Focus) Data Science, Computer Science, Statistics ... Physics, Computational Biology, etc. ALTERNATE EXPERIENCE General comment on degrees: Most ...

Cymertek

Data Scientist

San Antonio, TX · On-site

DEGREE (Level Desired) Bachelor's Degree DEGREE (Focus) Computer Science, Data Science, Statistics, Mathematics, Applied Mathematics, Engineering, Economics, Physics, Operations Research, Information ...

FloatMe

Senior/Staff Data Scientist

San Antonio, TX · On-site

FloatMe is hiring a Senior/Staff Data Scientist to turn product, customer, and risk data into the ... A Master degree in a quantitative field (e.g., Mathematics, Statistics, Physics, Computer Science ...

FloatMe

Senior/Staff Data Scientist

San Antonio, TX · On-site

$140 - $190/hr

FloatMe is hiring a Senior/Staff Data Scientist to turn product, customer, and risk data into the ... A Master degree in a quantitative field (e.g., Mathematics, Statistics, Physics, Computer Science ...

FloatMe

Senior/Staff Data Scientist

Austin, TX · On-site

$150 - $190/hr

FloatMe is hiring a Senior/Staff Data Scientist to turn product, customer, and risk data into the ... A Master degree in a quantitative field (e.g., Mathematics, Statistics, Physics, Computer Science ...

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All JobsData Science Physics JobsData Science Physics Jobs in Texas

Data Science Physics information

See Texas salary details

$21.5K

$81.3K

$176.3K

How much do data science physics jobs pay per year?

As of Aug 10, 2026, the average yearly pay for data science physics in Texas is $81,340.00, according to ZipRecruiter salary data. Most workers in this role earn between $37,375.00 and $120,922.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in Data Science Physics?

To thrive in Data Science Physics, you need strong analytical abilities in both physics and statistics, typically supported by an advanced degree in physics, data science, or a related field. Familiarity with tools such as Python, MATLAB, machine learning libraries (e.g., scikit-learn, TensorFlow), and experience using simulation or data visualization software are essential. Excellent problem-solving, collaboration, and communication skills help you work effectively with multidisciplinary teams and explain complex findings to non-experts. These competencies enable efficient analysis and interpretation of large scientific datasets, driving innovation and informed decision-making in research and industry settings.

What does a Data Science Physics do?

A typical day in Data Science Physics often involves collecting, cleaning, and analyzing large datasets derived from experimental or simulated physics research. You may spend time developing and testing predictive models, interpreting results, and visualizing data to communicate findings to colleagues and stakeholders. Collaboration is common, with regular meetings alongside scientists, engineers, and data professionals to discuss project goals or troubleshoot challenges. Additionally, you may contribute to research publications or help develop new methodologies for data analysis, making each day varied and intellectually stimulating.

What is a Data Science Physics?

A Data Science Physics job combines physics principles with data science techniques to analyze complex datasets, build predictive models, and extract insights. Professionals in this role apply statistical methods, machine learning, and computational algorithms to solve problems in areas such as material science, astrophysics, and engineering. They often work with big data, simulations, and experimental data to improve decision-making and research outcomes.

What are the most commonly searched types of Data Science Physics jobs in Texas? The most popular types of Data Science Physics jobs in Texas are:
What are popular job titles related to Data Science Physics jobs in Texas? For Data Science Physics jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Data Science Physics jobs in Texas look for? The top searched job categories for Data Science Physics jobs in Texas are:
What cities in Texas are hiring for Data Science Physics jobs? Cities in Texas with the most Data Science Physics job openings:
Data Science Physics jobs near you
Infographic showing various Data Science Physics 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 $81,340 per year, or $39.1 per hour.

Senior Data Scientist

IntelliGenesis LLC®

San Antonio, TX • On-site

Full-time

Re-posted 19 days ago

Job description

Job Summary:
IntelliGenesis LLC® is seeking a Senior Data Scientist to support IG Labs in addressing complex customer challenges through data analysis. The role involves working with structured and unstructured data to provide insights and recommendations for business decisions using advanced analytical techniques and tools.
Responsibilities:
• Involved in the analysis of structured, unstructured and semi-structured data, including latent semantic indexing (LSI), entity identification and tagging, complex event processing (CEP), and the application of analysis algorithms on distributed, clustered, and cloud-based high-performance infrastructures
• Exercises creativity in applying non-traditional approaches to large-scale analysis of unstructured data in support of high-value use cases visualized through multi-dimensional interfaces
• Handle processing and index requests against high-volume collections of data and high-velocity data streams. Has the ability to make discoveries in the world of big data
• Requires strong technical and computational skills - engineering, physics, mathematics, coupled with the ability to code design, develop, and deploy sophisticated applications using advanced unstructured and semi-structured data analysis techniques and utilizing high-performance computing environments
• Has the ability to utilize advanced tools and computational skills to interpret, connect, predict, and make discoveries in complex data and deliver recommendations for business and analytic decisions
Qualifications:
Required:
• Must be a U.S. Citizen
• TS/SCI Clearance with polygraph
• Minimum five (5) years of experience
• Bachelor's degree in Computer Science or related field
• Must be able to report daily to Tech Port San Antonio
• Experience with software development, either an open-source enterprise software development stack (Java/Linux/Ruby/Python) or a Windows development stack (.NET, C#, C++)
• Experience with hardware networking, server, OS (primarily Linux), GPU/DPU, and containerization (Docker primarily)
Preferred:
• Experience NVIDIA Technology & frameworks
• Experience with data transport and transformation APIs and technologies such as JSON, XML, XSLT, JDBC, SOAP and REST
• Experience with Cloud-based data analysis tools including Hadoop and Mahout, Acumulo, Hive, Impala, Pig, and similar
• Experience with visual analytic tools like Microsoft Pivot, Palantir, or Visual Analytics
• Experience with open-source textual processing such as Lucene, Sphinx, Nutch or Solr
• Experience with entity extraction and conceptual search technologies such as LSI, LDA, etc.
• Experience with machine learning, algorithm analysis, and data clustering
• Ability to build Python scripts and packages that will be used by the data analysts. The Python scripts will use supervised and unsupervised ML (both text and image-based machine learning), natural language processing (named entity extraction, summarization, etc.), and network analysis (social network analysis, centrality analysis, dynamic network analysis)
• Expertise in maintaining and deploying a notebook-based data science environment (JupyterHub)
• Experience in advanced Python data science packages (Pandas, NetworkX, Scikit-Learn, PyTorch or TensorFlow/Keras, Matplotlib or Plotly, etc.)
Company:
IntelliGenesis delivers AI, cyber, data, and workforce capabilities for national security and high-consequence environments. Founded in 2007, the company is headquartered in Columbia, USA, with a team of 51-200 employees. The company is currently Growth Stage.

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