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Intern Python Data Science Jobs in Oklahoma (NOW HIRING)

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... SQL, Python or R programming, hypothesis testing, and communication of data-driven insights.

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... SQL, Python or R programming, hypothesis testing, and communication of data-driven insights.

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... SQL, Python or R programming, hypothesis testing, and communication of data-driven insights.

... students for data science, web development, automation, and computer science coursework ... Familiar with Python curricula at introductory through advanced levels and common challenges such ...

... students for data science, web development, automation, and computer science coursework ... Familiar with Python curricula at introductory through advanced levels and common challenges such ...

Python Tutor

Tulsa, OK · Remote

$40/hr

... students for data science, web development, automation, and computer science coursework ... Familiar with Python curricula at introductory through advanced levels and common challenges such ...

... in data science, experience with mobile app analytics, and expertise in leveraging Google BigQuery for large-scale data processing and analysis • Proficiency in Python or R for data analysis ...

A strong background in data science, experience with mobile app analytics, and expertise in ... Proficiency in Python or R for data analysis, modeling, and machine learning. * Familiarity with ...

A strong background in data science, experience with mobile app analytics, and expertise in ... Proficiency in Python or R for data analysis, modeling, and machine learning. * Familiarity with ...

$13 - $17.50/hr

... data to build insights for Mining, Infrastructure and Construction industry. Our applied science ... INTERN

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Intern Python Data Science information

What are the key skills and qualifications needed to thrive as an Intern Python Data Science, and why are they important?

To excel as an Intern Python Data Science, you should have a solid grasp of Python programming, statistics, and foundational data analysis concepts, typically supported by coursework or academic projects in data science or related fields. Familiarity with tools like Jupyter Notebook, Pandas, NumPy, and basic machine learning libraries such as scikit-learn is commonly expected. Curiosity, problem-solving, and the ability to communicate findings clearly are standout soft skills in this role. These competencies enable interns to effectively support data-driven projects, contribute to team goals, and develop practical experience essential for a future data science career.

What types of projects can I expect to work on as an Intern Python Data Science?

As an Intern Python Data Science, you will typically work on projects involving data cleaning, exploratory data analysis, and the development of predictive models using Python libraries like pandas, NumPy, and scikit-learn. You may be tasked with supporting ongoing research, building data visualizations, or automating data collection processes. Collaboration with data scientists and engineers is common, offering opportunities to learn best practices in code review, version control, and teamwork. These experiences provide a solid foundation for more advanced roles in data science.

What does an Intern Python Data Science do?

An Intern Python Data Science assists data science teams with tasks such as data cleaning, analysis, and visualization, primarily using Python programming. They may work on projects involving data collection, processing, and building simple predictive models. Interns are also expected to learn and apply various data science techniques and tools, often under the guidance of experienced data scientists. This role provides hands-on experience and exposure to real-world data challenges, helping interns develop their technical and analytical skills.

What is the difference between Intern Python Data Science vs Intern Data Analyst?

AspectIntern Python Data ScienceIntern Data Analyst
Required SkillsPython, data analysis, machine learning basicsExcel, SQL, data visualization
Work EnvironmentTech companies, startups, research labsBusiness, finance, marketing departments
Common TasksData cleaning, modeling, scriptingData reporting, dashboard creation

Intern Python Data Science roles focus on programming, machine learning, and advanced data analysis, often in tech-driven environments. Intern Data Analyst positions emphasize data reporting, visualization, and basic analysis in business settings. While both roles require analytical skills, Intern Python Data Science roles demand coding proficiency, whereas Intern Data Analyst roles focus more on data presentation and interpretation.

What are the most commonly searched types of Python Data Science jobs in Oklahoma? The most popular types of Python Data Science jobs in Oklahoma are:
What are popular job titles related to Intern Python Data Science jobs in Oklahoma? For Intern Python Data Science jobs in Oklahoma, the most frequently searched job titles are:
What cities in Oklahoma are hiring for Intern Python Data Science jobs? Cities in Oklahoma with the most Intern Python Data Science job openings:

Internship

Posted 23 days ago


Job description

Position: Summer Research Intern: Weather & Machine Learning
Duration: 10-12 weeks
Level: Undergraduate or Graduate
Overview: We are seeking a motivated student with coursework in meteorology and hands-on experience with machine learning to join our research team for the summer. The intern will contribute to a project focused on using machine learning to better understand and track microscale features within winter weather systems using radar data.
Responsibilities
  • Work with radar datasets to identify and organize cases of microscale features
  • Assist in preparing and processing data for use in machine learning models
  • Help evaluate and visualize model results using Python-based tools
  • Contribute to team meetings and discussions about storm behavior and model performance
  • Document progress and assist in preparing summaries of findings

Qualifications
  • Currently enrolled in an undergraduate or graduate program in meteorology, atmospheric science, or a related field
  • Basic familiarity with radar products through coursework or experience
  • Prior coursework or project experience in machine learning or data science
  • Proficiency in Python for data analysis

Preferred
  • Coursework or experience in radar meteorology
  • Experience with or understanding of cloud seeding atmospheric effects
  • Familiarity with deep learning frameworks such as PyTorch or TensorFlow
  • Experience with data analysis tools such as Py-ART, MetPy, xarray, or similar
  • Prior research experience of any kind (REU, class projects, lab work)

What You Will Gain
  • Hands-on experience applying machine learning to real operational radar data
  • Mentorship from researchers across meteorology and data science
  • A meaningful research contribution suitable for graduate school applications
  • Collaborative work environment bridging atmospheric science and modern data science methods