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Entry Level Python Data Science Jobs in Irvine, CA

Collaborate effectively with internal clients to translate their needs into data science use cases ... Proficiency in Python, TensorFlow, PyTorch, and/or PySpark. Ability to translate business needs and ...

... Python code for model training and experimentation using libraries and frameworks such as pandas ... to data science best practices, model documentation, and the creation of reusable modeling ...

AI & GenAI Data Scientist - Manager

Irvine, CA ยท On-site

$99K - $232K/yr

... Python and Java to enhance AI model deployment - Overseeing the creation and maintenance of data ... Management Information Systems, Computer and Information Science, Systems Engineering, Mathematics ...

Data Science, Analytics and Management * Apply advanced statistical methods to large-scale datasets ... Proficiency in applied statistics, statistical programming and database languages (SQL, R, Python ...

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Entry Level Python Data Science information

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How much do entry level python data science jobs pay per hour?

As of Jun 23, 2026, the average hourly pay for entry level python data science in Irvine, CA is $62.92, according to ZipRecruiter salary data. Most workers in this role earn between $51.88 and $71.49 per hour, depending on experience, location, and employer.

What are some common challenges faced by entry-level Python data scientists when starting out, and how can they be addressed?

Entry-level Python data scientists often encounter challenges such as managing large datasets, understanding the nuances of real-world data (like missing or inconsistent values), and effectively communicating technical findings to non-technical stakeholders. To address these challenges, it's helpful to develop strong data cleaning skills, practice using libraries like pandas and scikit-learn, and focus on improving data visualization and storytelling abilities. Additionally, seeking feedback from more experienced team members and participating in collaborative projects can accelerate learning and help overcome early hurdles.

What is an entry level Python data scientist?

An entry level Python data scientist is a professional who uses Python programming language to analyze, interpret, and visualize data, typically in the early stages of their data science career. They are responsible for collecting, cleaning, and preparing data, performing basic statistical analyses, and building simple machine learning models under supervision. These roles often require proficiency in Python libraries like pandas, NumPy, and scikit-learn, as well as good problem-solving skills. Entry level data scientists may work in industries such as finance, healthcare, marketing, or technology to help organizations make data-driven decisions.

What are the key skills and qualifications needed to thrive as an Entry Level Python Data Scientist, and why are they important?

To thrive as an Entry Level Python Data Scientist, you need a strong understanding of statistics, data analysis, and proficiency in Python programming, typically supported by a relevant degree or coursework. Familiarity with data science libraries (such as pandas, NumPy, and scikit-learn), data visualization tools, and basic SQL is commonly required. Analytical thinking, problem-solving, and effective communication help you interpret data and present findings clearly. These skills ensure you can extract meaningful insights from data, collaborate effectively, and contribute to data-driven decision-making.

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

AspectEntry Level Python Data ScienceEntry Level Data Analyst
Required SkillsPython, SQL, statistics, machine learning basicsExcel, SQL, data visualization, basic statistics
CertificationsPython programming, data science fundamentalsExcel certifications, basic data analysis courses
Work EnvironmentTech companies, startups, data-driven teamsBusiness departments, marketing, finance teams
Common UsageBuilding models, data cleaning, predictive analyticsReporting, data visualization, trend analysis

Entry Level Python Data Science roles focus on programming, machine learning, and predictive modeling, often requiring Python and statistical knowledge. Entry Level Data Analyst positions emphasize data reporting, visualization, and basic analysis using tools like Excel and SQL. Both roles are common in various industries, but Python Data Science roles typically involve more technical and coding skills, while Data Analyst roles focus on interpreting data for business insights.

What are the most commonly searched types of Python Data Science jobs in Irvine, CA? The most popular types of Python Data Science jobs in Irvine, CA are:
What job categories do people searching Entry Level Python Data Science jobs in Irvine, CA look for? The top searched job categories for Entry Level Python Data Science jobs in Irvine, CA are:
What cities near Irvine, CA are hiring for Entry Level Python Data Science jobs? Cities near Irvine, CA with the most Entry Level Python Data Science job openings:
Infographic showing various Entry Level Python Data Science job openings in Irvine, CA as of June 2026, with employment types broken down into 88% Full Time, 4% Part Time, and 8% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $130,881 per year, or $62.9 per hour.

Data Analyst (North American Quality Center - NAQC)

Hyundai Motor Company

Irvine, CA โ€ข On-site

$75K - $90K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 26 days ago


Job description

Data Analyst
Hyundai's North American Quality Center (NAQC) is looking for a Data Analyst for the Strategy and Analysis Team.
The Team:
NAQC is the quality arm for Hyundai Motor Group (HMG)'s North American vehicle models. NAQC seeks to further Hyundai's goal of becoming the leading automotive manufacturer in North America by delivering uncompromising quality and exceeding consumer expectations.
The Data Analyst will support business operations by analyzing data, identifying trends, developing reports, and deliver actionable insights that drive quality improvements on Hyundai, Genesis, and Kia vehicles in North America. Collaborate with cross-functional and global teams to monitor quality issues, analyze external quality indicators and customer data, and escalate emerging quality cases.
What You Will Do
  • Understand and follow the department's business model, strategic direction, purpose, and mission.
  • Utilize internal and external data to identify and break down automotive quality problems. Deliver clear problems with targets for the investigation and new model teams to investigate.
  • Utilize text mining tools for topic generation and/or enrich existing datasets with generated features classification tasks.
  • Maintain reporting systems, dashboards and performance metrics that support key business decisions
  • Complete ad hoc data insights/requests as needed to support company goals.
  • Work with a moderate level of autonomy to achieve company goals
  • Communicate results and business impacts within the team and to management.
  • Collaborate with cross-functional teams and affiliates
  • Engage in on-the-job learning and follow best data practices.

What You Will Bring to the Role
  • Basic Qualifications:
    • Bachelor's degree in a quantitative field such as engineering, data science, computer science, business, math, or economics is preferred.
    • YOE for Engineer level I and II in data analysis or related field.
    • Solid foundation in data analysis and statistics.
    • Proficiency in SQL. Python or R are a plus.
    • Prior experience with data analytics tools, text mining tools, and data visualization software a plus.
    • Proficiency in MS Office, specializing in Excel, PowerPoint, Word, and Teams.
    • Strong written, oral, and interpersonal skills.
    • Must possess a strong analytical mindset.
    • Able to recognize the needs of the end user and create reproducible solutions that answer those needs quickly and efficiently.
    • Ability to explain technical topics to both technical and non-technical stakeholders
  • Preferred Qualifications:
    • Master's degree in data science, computer science, business analytics, economics, mathematics, statistics, an engineering-related discipline, or a related field of study
    • Automotive industry experience
    • Prior experience with automotive survey data a strong plus.
    • Understanding of vehicle systems
    • Alteryx, Tableau, or Python Data Science certification

What Hyundai Can Offer You
  • Zero-dollar Employee Premiums on Medical, Dental, and Vision for You and Your Family
  • 100% Employer-paid Disability and Life Insurance
  • Generous Paid Time Off, Including Vacation, Sick, and Abundant Holidays
  • Competitive Salaries
    • Range of Position: $75,000 ~ $90,000/Year
  • A Global Environment that Fosters Diversity
  • Retirement Savings and Planning Benefits
  • Access to Health Savings Accounts and Flexible Spending Accounts
  • Flexible Work Hours
  • Fully On-Site Position

Other Details
  • Candidates applying for positions with Hyundai KIA must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire.
    • HATCI is an Equal Opportunity Employer including Disabled and Veteran. VEVRAA Federal contractor.