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Entry Level Python R Jobs in Los Angeles, CA (NOW HIRING)

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Entry Level Python R information

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$14

$63

$92

How much do entry level python r jobs pay per hour?

As of Jul 19, 2026, the average hourly pay for entry level python r in Los Angeles, CA is $63.17, according to ZipRecruiter salary data. Most workers in this role earn between $52.07 and $71.73 per hour, depending on experience, location, and employer.

What is the difference between Entry Level Python R vs Entry Level Data Analyst?

AspectEntry Level Python REntry Level Data Analyst
Required SkillsBasic Python, R, data manipulationExcel, SQL, data visualization
CertificationsNone required, but Python/R certifications helpfulNone required, often familiarity with Excel/SQL
Work EnvironmentTech companies, research labs, financeBusiness, marketing, finance, healthcare
Industry UsageData science, analytics, researchBusiness intelligence, reporting, analysis

Entry Level Python R roles focus on programming and data manipulation skills using Python and R, often in tech or research settings. Entry Level Data Analyst positions emphasize data visualization, reporting, and SQL skills in business environments. Both roles require foundational data skills but differ in technical focus and industry application.

What are the most commonly searched types of Python R jobs in Los Angeles, CA? The most popular types of Python R jobs in Los Angeles, CA are:
What are popular job titles related to Entry Level Python R jobs in Los Angeles, CA? For Entry Level Python R jobs in Los Angeles, CA, the most frequently searched job titles are:
What job categories do people searching Entry Level Python R jobs in Los Angeles, CA look for? The top searched job categories for Entry Level Python R jobs in Los Angeles, CA are:
What cities near Los Angeles, CA are hiring for Entry Level Python R jobs? Cities near Los Angeles, CA with the most Entry Level Python R job openings:
Entry Level Python R jobs near you
Infographic showing various Entry Level Python R job openings in Los Angeles, CA as of July 2026, with employment types broken down into 1% Locum Tenens, 85% Full Time, 13% Part Time, and 1% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $131,384 per year, or $63.2 per hour.
Financial Analyst Internship - Fall 2026

Financial Analyst Internship - Fall 2026

Varda Space Industries

El Segundo, CA

Other

Posted 7 days ago

Job description

About This Role 

Fall internships will range between the months of August and December. All dates dependent upon the university schedule of the selected students. Internships are full-time and on-site in Los Angeles, CA. To be considered for this internship, candidates must be actively enrolled in an accredited undergraduate or graduate degree program. 

Internships at Varda are optimal for students looking to grow technically and professionally while working on impactful projects critical to the company's success. You will be working on a collaborative team in a startup environment while being able to learn from some of most accomplished and experienced aerospace professionals in the world. We're dedicated to providing an experience that will let your decisions and contributions help drive Varda's success. 

As a part of the finance team you will collaborate with the team to develop data structures and enhance system capabilities for advanced analytics and dashboard creation. Utilize AI, Machine Learning, and LLMs to deliver business insights to executive leadership.

Responsibilities
  • Build data structure to support Business and Finance KPIs
  • Publish Dashboards to automate reporting
  • Review existing systems/tools and enhance reporting mechanisms
  • Enable Machine Learning to evolve automation
Basic Qualifications
  • Education: Currently enrolled in an undergraduate or postgraduate program, majoring in Computer Science or Computer Engineering. Preference for college juniors/rising seniors.
  • Programming Skills: Proficiency in Python, R, Java, Linux, C++, or VMWare.
  • AI/ML Knowledge: Strong understanding of Large Language Models (LLMs) and Machine Learning algorithms.
  • Framework Experience: Familiarity with machine learning frameworks and libraries such as TensorFlow, PyTorch, and scikit-learn.
Preferred Skills And Experience 
  • Project Experience: Previous involvement in AI/ML projects or internships.
  • Deep Learning: Knowledge of deep learning and neural networks.
  • Data Visualization: Experience with tools like Matplotlib and Seaborn.
  • Cloud Platforms: Familiarity with AWS, Google Cloud, or Azure.

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