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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 ...

Boot Barn

Data Scientist

Irvine, CA · On-site

... 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 ...

FieldAI

Field Data Analyst

Irvine, CA · On-site

... Science, Statistics, or related field • Strong analytical skills with ability to work with messy operational datasets • Proficiency in Python, SQL, or similar data analysis tools • Experience ...

FieldAI

Field Data Analyst

Irvine, CA · On-site

... Science, Statistics, or related field • Strong analytical skills with ability to work with messy operational datasets • Proficiency in Python, SQL, or similar data analysis tools • Experience ...

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Entry Level Python Data Science information

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$14

$62

$92

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

As of Aug 4, 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?

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 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.

Senior Data Scientist

Hireblazer

Irvine, CA • On-site

Full-time

Re-posted 11 days ago

Job description

Job Title: Sr. Data Scientist

Location: Irvine, CA (Hybrid - Onsite and Remote) or San Francisco Market St (Onsite) or Telecommute (Remote)

Contract Type: Contract to Hire

Project Overview:

The Sr. Data Scientist will join the Personalization Data Science and Machine Learning team to focus on solving recommendations, ranking, user condition predictions, and search problems. This KPI-driven team leverages Machine Learning (ML) to deliver personalized experiences. The role involves building end-to-end solutions, collaborating with data scientists and engineers, and ensuring engineering excellence with solid production releases. The team utilizes state-of-the-art machine learning and strives for low-latency solutions.

Top Responsibilities:

Apply advanced statistical and predictive modeling techniques to optimize healthcare and digital experiences.

Propose innovative solutions using data mining, statistical analysis, and machine learning.

Support business needs related to analytics, predictive modeling, and business intelligence.

Collaborate effectively with internal clients to translate their needs into data science use cases.

Provide ongoing tracking and monitoring of model performance and recommend improvements to methods and algorithms.

Required Qualifications:

Bachelor's Degree (Minimum Education Requirement).

Strong hands-on skills in Data Analytics and ML-Ops.

Ability to turn state-of-the-art research into production-level code.

Experience developing analytics with machine learning, deep learning, NLP, and/or other related modeling techniques.

Proficiency in Python, TensorFlow, PyTorch, and/or PySpark.

Ability to translate business needs and requirements into technical solutions.

Solid analytical and problem-solving skills.

Preferred Qualifications:

Master's or Ph.D. degree in Computer Science, Applied Mathematics, (Bio) Statistics, Applied Statistics, Economics, or similar quantitative fields.

Experience developing and deploying models related to recommender systems, NLP, and time series forecasting.

Experience developing algorithms for search engines (e.g., name entity recognition, intent classification, spell correction, auto-completion), cold-start recommendation, and semi-supervised learning (e.g., positive unlabeled learning).