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Intern Python Data Science Jobs in Oklahoma (NOW HIRING)

... data science, biomedical engineering, or a related field (degree must be conferred on or before agreed upon start date) * Experience with quantitative data analysis (Python and/or R) * Experience ...

Data & AI Engineer

Bartlesville, OK · On-site

$98.30K - $118K/yr

Design and implement data manipulation pipelines using scripting languages like Python and SQL for ... Bachelor's degree in Data Science, Computer Science, or related technical field. * 5+ years of ...

Data & AI Engineer

Bartlesville, OK

$98.30K - $118K/yr

Design and implement data manipulation pipelines using scripting languages like Python and SQL for ... Bachelor's degree in Data Science, Computer Science, or related technical field. * 5+ years of ...

Required : • Bachelor's Degree in Computer Science, Data Science, Business or a related field • ... with Python and reporting technologies (Power BI, Tableau, etc.) • Understanding of data ...

Data Engineer -Mauritius

Blair, OK

$101.80K - $122.30K/yr

At the vanguard of our marketing science organization, the data engineer solves problems "on the ... In this role you will * Automate manual processes through SQL, python, etc... * Analyze ...

Junior PL/SQL Developer

Tulsa, OK

$58.10K - $75.40K/yr

Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Machine Learning engineers. Who Should Apply Recent ...

The intern will assist in building, maintaining, and optimizing Power BI dashboards and reports ... Current junior, senior, or recent graduate in Computer Science, Data Analytics, Statistics ...

The intern will assist in building, maintaining, and optimizing Power BI dashboards and reports ... Current junior, senior, or recent graduate in Computer Science, Data Analytics, Statistics ...

The intern will assist in building, maintaining, and optimizing Power BI dashboards and reports ... Current junior, senior, or recent graduate in Computer Science, Data Analytics, Statistics ...

The intern will assist in building, maintaining, and optimizing Power BI dashboards and reports ... Current junior, senior, or recent graduate in Computer Science, Data Analytics, Statistics ...

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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:

Research Scientist GS9392

The OSU/A&M System

Tulsa, OK • On-site

Full-time

Posted 15 days ago


Job description

Campus

OSU-Center for Health Sciences

Contact Name & Email

Jamie Childers, Jamie.Childers@okstate.edu

Work Schedule

Typically Monday - Friday, 8 hour shifts

Appointment Length

Regular Continuous/Until Further Notice

Hiring Range

Salary

Priority Application Date

While applications will be accepted until a successful candidate has been hired, interested parties are encouraged to submit their materials by to ensure full consideration.

Special Instructions to Applicants

For full consideration, please include a resume or CV, cover letter and contact information for three professional references

About this Position

The Department of Anatomy & Cell Biology is seeking a Research Assistant or Scientist to provide quantitative and data-focused support for human and mouse neuroscience research. This position focuses on data management, analysis, and study infrastructure for IRB-regulated human and animal subjects research, including behavioral and neuroimaging studies. The role functions as a shared analytical resource and is primarily computational in nature, with limited but essential involvement in human subjects research activities.

Key Responsibilities

  • Conduct quantitative analyses using Python and/or R
  • Analyze and interpret high-throughput DNA/RNA sequencing (bulk and single-cell RNA-seq) datasets using established pipelines and statistical methods;
  • Support development and deployment of behavioral tasks (online and in-person)
  • Assist with neuroimaging and behavioral data workflows
  • Ensure compliance with data security and IRB regulations as well as ensuring data integrity and reproducibility  
Required Qualifications
  • Master's
    • Master’s degree or Ph.D. in neuroscience, bioinformatics, data science, biomedical engineering, or a related field
    (degree must be conferred on or before agreed upon start date)
    • Experience with quantitative data analysis (Python and/or R)
    • Experience working with research data or regulated datasets
  • Certifications, Registrations, and/or Licenses:
  • Skills, Proficiencies, and/or Knowledge:
    • Ability to implement and troubleshoot bioinformatics workflows in R and/or Python for quality control, normalization, clustering, differential expression or other analysis steps
    • Strong organizational and communication skills
Preferred Qualifications
  • Ph.D. degree
    • Ph.D. degree in a relevant field
    • Experience with large-scale databases (behavioral, neuroimaging, genomic databases)
  • Certifications, Registrations, and/or Licenses:
  • Skills, Proficiencies, and/or Knowledge:
    • Familiarity with Unix/Linux environments