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Entry Level Python Data Science Jobs in Irvine, CA

Hireblazer

Senior Data Scientist

Irvine, CA · On-site

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 ...

Prodapt

Senior Data Scientist

Irvine, CA · On-site

Hands-on experience with Python and relevant libraries: pandas, numpy, scikit-learn, statsmodels ... Advanced degree (MS or PhD) in Operations Research, Applied Mathematics, Computer Science, or ...

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Entry Level Python Data Science information

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$62

$92

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

As of Aug 25, 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 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?

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 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 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 are popular job titles related to Entry Level Python Data Science jobs in Irvine, CA?

For Entry Level Python Data Science jobs in Irvine, CA, the most frequently searched job titles 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:

Entry Level Python Data Science jobs near you
Infographic showing various Entry Level Python Data Science job openings in Irvine, CA as of June 2026, with employment types broken down into 100% Internship. Highlights an 100% In-person job distribution, with an average salary of $130,881 per year, or $62.9 per hour.

Data Scientist at Tustin Recruiting Fullerton, CA

Fullerton, CA • On-site

Data Sentinel Inc.
See more jobs at Data Sentinel Inc.external

$112 - $132/hr

Other

Medical, Dental, Vision, PTO

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

Job description

Data Scientist job at Tustin Recruiting. Fullerton, CA.

Hey there! If you’re a data wizard with a passion for machine learning and predictive analytics, we might just have the perfect role for you. We’re on the lookout for a Data Scientist to join our team in sunny Fullerton, CA. This isn’t just any gig—it’s an opportunity to dive deep into complex datasets, develop cutting‑edge predictive models, and work side‑by‑side with our business teams to solve real‑world problems. Fullerton offers the perfect blend of career opportunities and a fantastic lifestyle, making it an ideal location for someone looking to grow both professionally and personally.

Key Responsibilities

As our Data Scientist, you’ll get to:

  • Develop and implement machine learning models that drive business insights.
  • Analyze large datasets to extract meaningful insights and create predictive analytics solutions.
  • Build and maintain data pipelines for seamless model deployment.
  • Collaborate with business stakeholders to understand their needs and translate them into technical requirements.
  • Present your findings and insights to executive teams in a clear and compelling way.
  • Optimize model performance and accuracy to ensure we’re always delivering top‑notch results.
  • Maintain detailed documentation of methodologies and processes.
  • Ensure the data we work with is of the highest quality and integrity.
  • Implement and manage A/B testing frameworks to validate model effectiveness.
  • Engage in both independent research and collaborative projects to stay ahead of industry trends.
Required Qualifications

To be successful in this role, you’ll need:

  • A strong programming background in Python and R.
  • Experience with major machine learning frameworks like TensorFlow and PyTorch.
  • Expertise in statistical analysis and data modeling.
  • 3-7 years of hands‑on experience in a Data Science role, particularly within an analytics setting.
  • Excellent communication skills to convey complex information clearly.
  • An MS or PhD in Data Science, Statistics, or a related field.
  • Local familiarity with Fullerton’s business landscape is a plus, as is a knack for navigating the local tech community.
  • Knowledge of big data technologies and proficiency in data manipulation and SQL.
Compensation & Benefits

We believe in rewarding talent, so here’s what you can expect:

  • A competitive salary ranging from $112,000 to $132,000, based on your experience.
  • Comprehensive medical, dental, and vision coverage to keep you healthy and happy.
  • Generous paid time off and holidays, because we know you deserve it.
  • Exciting career advancement opportunities, like transitioning into a Lead Data Scientist or ML Architecture role.
  • Access to ongoing training and certifications to keep your skills sharp and up to date.

If this sounds like your kind of challenge, we’d love to hear from you. Join us in Fullerton and be part of a team that’s making a difference with data!

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