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Data Science Physics Jobs in Houston, TX (NOW HIRING)

Data Scientist

Houston, TX

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... Computer Science, Physics, Applied Science) or related discipline with demonstrated research ... in a data related field * Proficiency in statistical/numerical analysis concepts: regression ...

New

Data Scientist

Houston, TX

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... Computer Science, Physics, Applied Science) or related discipline with demonstrated research ... in a data related field * Proficiency in statistical/numerical analysis concepts: regression ...

New

Data Scientist

Houston, TX · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... Computer Science, Physics, Applied Science) or related discipline with demonstrated research ... in a data related field * Proficiency in statistical/numerical analysis concepts: regression ...

New

Master's degree in applied mathematics, Data Science or Physics * 5+ years' experience Data Science * Strong analytical and problem-solving skills * Excellent communication and presentation abilities

Data Scientist - Wireline

Houston, TX · On-site

$120 - $160/hr

Master's degree in applied mathematics, Data Science or Physics * 5+ years' experience in the Oil and Gas industry * Strong analytical and problem-solving skills * Excellent communication and ...

Data Scientist II

Houston, TX · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

D. with 0-2 years of experience in Physics, Physics engineering, Mathematics, Biology, Chemistry, Statistics, or Engineering with a minor, certificate, or emphasis in computer science, data science ...

Lead Data Scientist

Houston, TX · On-site

$140 - $190/hr

MSc or PhD in Machine Learning, Data Science, Applied Mathematics, Physics, Geophysics, or a related technical discipline. * 5-10 years of experience in applied data science or research‑oriented ...

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Data Science Physics information

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 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 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.

Can I get a data science job with a physics degree?

A physics degree provides a strong foundation in analytical thinking, mathematics, and problem-solving, which are valuable in data science roles. Many data scientists have backgrounds in physics, and skills in programming, statistical analysis, and data visualization tools like Python, R, and SQL are often required. Gaining experience through projects, internships, or certifications can improve job prospects in this field.

How is data science used in physics?

Data science in physics involves analyzing large datasets from experiments and simulations to identify patterns, make predictions, and develop models. Physicists use tools like machine learning, statistical analysis, and data visualization to interpret complex phenomena and advance understanding in areas such as particle physics, astrophysics, and condensed matter research.

What are popular job titles related to Data Science Physics jobs in Houston, TX?

For Data Science Physics jobs in Houston, TX, the most frequently searched job titles are:

Infographic showing various Data Science Physics job openings in Houston, TX as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 2 days ago

New


Job description

Company Description

At IPT Global, we're pioneers in providing innovative digital solutions for well integrity assurance and energy technology. Our mission is to empower operators with the data, tools, and insights they need to ensure safer, more reliable operations.

We combine deep domain expertise with cutting-edge software development to deliver high-quality applications and platforms that enhance performance, safety, and efficiency across the energy lifecycle. Our teams collaborate across disciplines, embracing creativity, accountability, and continuous learning to drive technological progress and deliver lasting value to our customers.

If you want to work in an environment that values growth, innovation, and teamwork - we'd love to meet you.

Job Description
  • Leverage strong data science skills throughout the data analysis process (problem formulation, data aggregation, transformation and cleaning, descriptive analysis, modeling, visualization, presentation, productizing)
  • Design and execute research of open-ended problems related to data analytics, Machine Learning, and predictive modeling on large, complex data sets to draw insights and conclusions for key stakeholders
  • Evaluate, improve, and invent analysis methods to be used in IPT Global's suite of well integrity solutions
  • Develop and validate proposed analysis methods through the application of physics-based and data-based models to industry component data sets, apply variances to account for test environment effects and signal noise to gauge algorithm performance and robustness
  • Collaborate with multiple teams and present findings, prototypes, and recommendations periodically to multiple levels of stakeholders, including to senior management
  • Leverage existing data sets to improve/invent analysis methods and solutions by performing data analysis on large sets of data identifying trends, patterns, anomalies, clusters, and insights in a continual advancement of our state-of-the-art
  • Perform statistical analysis of field and simulated data to provide reliability insights, confidence levels, and risk assessments
  • Support Business Development through projects evaluating client/prospect data and potential improvements in reliability and efficiency using IPT products
  • Analyze operational data, create KPIs, and develop dashboards or visualizations that drive action and provide business value for internal and external clients
  • Participate in technical document generation and research publication writing, and present research at national/international conferences and forums in fields related to the role
  • Document innovations in the consideration and protection of Intellectual Property (e.g., patent applications, trade secrets)
  • All other assigned duties
Qualifications

REQUIREMENTS

  • Bachelor's or Master's degree in a quantitative discipline (e.g., Mathematics, Statistics, Engineering, Computer Science, Physics, Applied Science) or related discipline with demonstrated research capability
  • 3 years of direct work experience in a data related field
  • Proficiency in statistical/numerical analysis concepts: regression, linear and multivariate analysis, curve-fitting, sampling methods, descriptive statistics, probability distributions, stochastic models, confidence/risk analysis, optimization
  • Experience with statistical/numerical software (e.g., R, Python, MATLAB), database query languages (e.g., SQL), and data science toolkits (e.g., TensorFlow, Keras)

PREFERRED SKILLS

  • 5+ years of relevant work experience, including expertise with statistical data analysis
  • Proficiency in implementing machine learning and deep learning techniques and algorithms (e.g., KNN, Naive Bayes, SVM, Decision Forest, RandomForest, Gradient Boosting, CNN) and applying model validation concepts
  • Experience in predictive and prescriptive modeling, including model training and validation
  • Familiarity with Azure, or other cloud computing services (AWS, Google Cloud, etc.)
  • Familiarity with C#, virtual machines / containers
  • History of generating technical documents and publications
  • Experience in the oil and gas industry, especially operations, and understanding of industry common terminology
Additional Information
  • Location: Houston, Texas 

  • Employment Type: Full-time, flexible schedule 
  • Compensation: Competitive compensation commensurate with experience, plus comprehensive benefits (medical, dental, vision, 401(k), paid time off).

  • Work Environment: Collaborative and innovative team culture focused on continuous improvement and professional growth.

Join IPT Global and help us shape the next generation of software that supports the energy industry's drive toward safety, efficiency, and innovation.