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Summer Data Science Physics Jobs (NOW HIRING)

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

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

MS degree with 3+ years of experience, and/or PhD in Statistics, Data Science, Applied Mathematics, Computer Science, Physics or other related discipline (or equivalent experience) * Desire to tackle ...

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

ABOUT THE DATA TEAM The Data Science team at GenLogs transforms raw observational data from the ... You bring a background in engineering, computer science, physics, applied math, or another hard ...

WHY DATA SCIENCE & ANALYTICS? The Data Science & Analytics organization's mission is to increase ... Advanced Degree and/or PhD in Statistics, Computer Science, Physics, Applied Math, Economics, or ...

Your Mission We are seeking a Manager of Data Science to lead our talented team of data scientists ... Advanced degree (Master's or PhD) in a quantitative field (CS, Stats, Math, Physics) is a plus.

$110 - $170/hr

MS or PhD in Statistics/Biostatistics, Mathematics, Computer Science, Data Science, Physics, Informatics, Life Sciences, or quantitative related field. * A proven ability to write robust code in R ...

P-57 At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems ... D. in quantitative fields (e.g., Statistics, Math, Computer Science, Physics, Economics ...

MS or PhD in Statistics/Biostatistics, Mathematics, Computer Science, Data Science, Physics, Informatics, Life Sciences, or quantitative related field. * A proven ability to write robust code in R ...

Data Science * Statistics * Mathematics * Engineering ... Economics * Physics * Or a related quantitative field. We may use artificial intelligence (AI ...

Data Scientist

Thousand Oaks, CA · On-site

$134 - $182/hr

MS or PhD in Statistics/Biostatistics, Mathematics, Computer Science, Data Science, Physics, Informatics, Life Sciences, or quantitative related field. * A proven ability to write robust code in R ...

Data Scientist

Washington, DC · On-site

$120 - $170/hr

MS or PhD in Statistics/Biostatistics, Mathematics, Computer Science, Data Science, Physics, Informatics, Life Sciences, or quantitative related field. * A proven ability to write robust code in R ...

Showing results 41-60

Summer Data Science Physics information

What is a Summer Data Science Physics?

A Summer Data Science Physics job is a temporary, usually internship-based position where students or recent graduates apply data science techniques to solve problems in physics. These roles typically involve working with large datasets, coding in languages like Python, and using statistical or machine learning methods to analyze experimental or simulation data. The goal is to gain hands-on experience at the intersection of physics and data science, often contributing to research projects or industry applications. Such positions are common at universities, research labs, and tech companies during the summer months, providing valuable exposure to both fields.

What are the key skills and qualifications needed to thrive as a Summer Data Science Physics intern?

To thrive as a Summer Data Science Physics intern, you need a solid background in physics, statistics, and programming, typically supported by coursework or a degree in physics, data science, or a related field. Familiarity with programming languages such as Python, data analysis libraries (e.g., NumPy, Pandas), and data visualization tools is often required. Strong analytical thinking, problem-solving abilities, and effective communication skills help you interpret complex data and present findings clearly. These skills are crucial for extracting meaningful insights from scientific data and contributing to research projects in a collaborative environment.

What types of projects or research tasks can I expect to work on in a Summer Data Science Physics role?

In a Summer Data Science Physics position, you'll likely engage in projects that involve analyzing large datasets from physics experiments or simulations. Common tasks include data cleaning, statistical analysis, building predictive models, and visualizing results to support ongoing research. You'll often collaborate with physicists and data scientists, contributing to the interpretation of experimental data or the development of computational tools. This role offers a fast-paced, collaborative environment where you'll gain hands-on experience with both physics concepts and practical data science techniques.

What is the difference between Summer Data Science Physics vs Summer Data Science Engineering?

AspectSummer Data Science PhysicsSummer Data Science Engineering
Required CredentialsTypically requires physics or data science coursework, basic programming skillsRequires engineering fundamentals, programming, and data analysis skills
Work EnvironmentResearch labs, academic institutions, tech companiesManufacturing, product development, tech firms
Industry UsageResearch, academia, tech industryEngineering, manufacturing, software development
Common Search IntentComparing physics-focused data science roles with engineering data science rolesUnderstanding differences between physics and engineering data science internships

Summer Data Science Physics roles focus on applying data analysis within physics research or academic settings, often emphasizing theoretical understanding. In contrast, Summer Data Science Engineering positions are geared toward practical engineering applications, product development, and manufacturing. Both roles require programming skills and data analysis, but their industry focus and work environments differ significantly.

What cities are hiring for Summer Data Science Physics jobs?

Cities with the most Summer Data Science Physics job openings:

What are the most commonly searched types of Data Science Physics jobs?

The most popular types of Data Science Physics jobs are:

What states have the most Summer Data Science Physics jobs?

States with the most job openings for Summer Data Science Physics jobs include:

Data Scientist

IPT Global

Houston, TX • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 4 days ago


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.