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Intern Python Data Science Jobs in Irvine, CA (NOW HIRING)

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Data Scientist

Irvine, CA · On-site

... data science team with building solution accelerators, pipeline development, and building ... Experience with Sagemaker AWS, Kafka, Python, R, SQL and NoSQL Databases, Spark, Scikit-Learn ...

iHerb

Pricing Data Scientist

Irvine, CA

Strong applied quantitative background with demonstrated experience designing, building, and deploying Python-based data science models, including production workflows, to inform pricing, promotions ...

iHerb

Pricing Data Scientist

Irvine, CA · On-site +1

Strong applied quantitative background with demonstrated experience designing, building, and deploying Python-based data science models, including production workflows, to inform pricing, promotions ...

Omni Inclusive

Python Developer

Irvine, CA · On-site

$54 - $74.25/hr

Minimum 5-8 years of experience in Python ... Strong in Data science and Machine Learning, must know time series algorithms, Anomalies detection ...

Kia

Data Scientist - Business Analytics & ML

Irvine, CA · Remote

$107.06K - $131.86K/yr

... science preferred. Strong data analysis and statistical foundations required. Proficiency in Python and SQL required. Familiarity with applied machine learning concepts required. Strong business ...

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Intern Python Data Science information

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How much do intern python data science jobs pay per hour?

As of May 28, 2026, the average hourly pay for intern python data science in Irvine, CA is $24.16, according to ZipRecruiter salary data. Most workers in this role earn between $18.56 and $26.30 per hour, depending on experience, location, and employer.

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 popular job titles related to Intern Python Data Science jobs in Irvine, CA? For Intern Python Data Science jobs in Irvine, CA, the most frequently searched job titles are:
What job categories do people searching Intern Python Data Science jobs in Irvine, CA look for? The top searched job categories for Intern Python Data Science jobs in Irvine, CA are:
What cities near Irvine, CA are hiring for Intern Python Data Science jobs? Cities near Irvine, CA with the most Intern Python Data Science job openings:
Intern Python Data Science jobs near you
Infographic showing various Intern Python Data Science job openings in Irvine, CA as of May 2026, with employment types broken down into 3% Internship, 3% As Needed, 37% Full Time, and 57% Part Time. Highlights an 98% Physical, and 2% Remote job distribution, with an average salary of $50,245 per year, or $24.2 per hour.
OBD Certification Data Scientist

OBD Certification Data Scientist

Talent Space

Long Beach, CA • On-site

Other

This job post has expired today. Applications are no longer accepted.

Job description

Job Opportunity in Long Beach, CA
Join Talent Space and work with our esteemed Automotive direct-client in Long Beach, CA. This role offers a unique opportunity to support the development and maintenance of certification-related tools and processes in the automotive industry.
Summary
The primary function of this role is to support the development and maintenance of certification-related tools and processes. You will assist in creating new programmatic solutions, handling data, and performing data analysis to improve company workflows.
Job Responsibilities
  • Conduct testing and data analysis in the areas of Emissions & OBD, investigate and identify issues, determine root causes, and collaborate within a team environment.
  • Learn emissions and OBD certification activities and identify additional areas within the team where you can effectively contribute value.
  • Identify opportunities within the OBD Certification for automation.
  • Analyze conducted testing in respective areas and create reports for internal and external stakeholders, including CARB.
  • Create data pipelines relevant for agency reporting and analysis.
  • Develop custom tools and drive automation efforts to improve testing, analysis, and reporting efficiency.
  • Present results and findings to upper management and other important stakeholders.
  • Contribute to the team's new initiative of software change management.
  • Support collaboration with global headquarters, R&D departments, and cross-functional teams.
  • Contribute to initiatives involving data science, machine learning, and business intelligence for OBD and emissions performance feedback.
  • Build, maintain, and manage Power BI dashboards to visualize emissions, OBD, and certification data for internal stakeholders and management.
Requirements
  • Education: Bachelor of Science in Computer Science, Data Science, or related field (or equivalent 3-5 years of related experience).
  • Detail-oriented mindset and strong project coordination skills required.
  • Comprehensive knowledge and experience of CARB OBD2 regulations.
  • Proficiency in Python and related libraries for automation, data processing, and workflow optimization.
  • Experience with data acquisition and analysis tools (INCA, MATLAB).
  • Experience with PowerBI, Tableau, or other data visualization tools.
  • Experience with business intelligence and data analytics tools.
  • Knowledge of data science methods, including machine learning, data visualization, prediction, and modeling.
  • Ability to author and present clear and concise technical reports for a wide, global audience detailing findings, recommendations, and solutions.
  • Design custom tools to optimize data mining, cleaning, and validation.
  • Ability to collaborate and work well with a team is extremely important.

This is an onsite role based in Long Beach, CA, offering a fantastic opportunity to work in the dynamic automotive domain while leveraging and expanding your data science or data engineering expertise.

Apply