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Entry Level Python Data Science Jobs in Los Angeles, CA

Rule14

Data Scientist Machine Learning

Santa Monica, CA · On-site

$75K - $100K/yr

... science team focusing on predictive modeling, natural language processing, computer vision ... Proficiency in Python and machine learning frameworks such as TensorFlow, PyTorch, and Scikit-learn

GumGum

Data Scientist I

Santa Monica, CA

$128K - $130K/yr

... Data Science, or ML Engineering. * Proficiency in Python and experience applying ML/DL methods using libraries like scikit-learn, PyTorch, HuggingFace, or OpenCV. * Dependable SQL skills and ...

Tristar Insurance

Data Analyst I

Signal Hill, CA · On-site +1

$114K - $140K/yr

... data science, analytics, or insurance-related projects (academic or professional). * Familiarity with data tools such as SQL, Python, R, or SAS. * Familiarity with Data warehouse techniques and ...

TRISTAR RISK MANAGEMENT

Data Analyst I

Signal Hill, CA · On-site

... data science, analytics, or insurance-related projects (academic or professional). * Familiarity with data tools such as SQL, Python, R, or SAS. * Familiarity with Data warehouse techniques and ...

Saxon Global

AI/ML Engineer

Pasadena, CA · On-site

* 4- yr Technical Degree (Computer Science, CIS, Engineering, Math, or related) * 8+ yrs IT/Engineering (US based work only considered) * 3+ yrs of Python Development (Python data processing and ...

Tristar Insurance

Data Analyst I

Signal Hill, CA · On-site

... data science, analytics, or insurance-related projects (academic or professional). * Familiarity with data tools such as SQL, Python, R, or SAS. * Familiarity with Data warehouse techniques and ...

GumGum

Data Scientist I

Santa Monica, CA

... Data Science, or ML Engineering. * Proficiency in Python and experience applying ML/DL methods using libraries like scikit-learn, PyTorch, HuggingFace, or OpenCV. * Dependable SQL skills and ...

TWG Global AI

Associate AI Data Scientist

Santa Monica, CA · On-site

$120K - $130K/yr

... Science, Statistics, Mathematics, or a related field. * Experience or coursework in data analysis, machine learning, or related areas. * Proficiency in programming languages such as Python, R, or ...

SpaceX

Software Engineer, Data (Starlink)

Hawthorne, CA · On-site

$115K - $139K/yr

Required : • Bachelor's degree in computer science, data science, engineering, math, physics, or ... C#, Python, Go or similar languages • Frontend experience in Angular, React, or similar ...

SpaceX

Software Engineer, Data (Starlink)

Hawthorne, CA · On-site

$115K - $139K/yr

Required : • Bachelor's degree in computer science, data science, engineering, math, physics, or ... C#, Python, Go or similar languages • Frontend experience in Angular, React, or similar ...

Amazon

Data Scientist II - AMZ9803565

Culver City, CA · On-site

$158K - $184K/yr

Apply a range of data science techniques and tools combined with subject matter expertise to solve ... including R, Python, or MATLAB.#0000 PREFERRED QUALIFICATIONS Please see and the position ...

Pwc

AI & GenAI Data Scientist - Manager

Los Angeles, CA · 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 ...

Pwc

AI & GenAI Data Scientist - Manager

Irvine, CA · 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 ...

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All JobsEntry Level Python Data Science JobsEntry Level Python Data Science Jobs in Los Angeles, CA

Entry Level Python Data Science information

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$63

$92

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 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 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 popular job titles related to Entry Level Python Data Science jobs in Los Angeles, CA? For Entry Level Python Data Science jobs in Los Angeles, CA, the most frequently searched job titles are:
What job categories do people searching Entry Level Python Data Science jobs in Los Angeles, CA look for? The top searched job categories for Entry Level Python Data Science jobs in Los Angeles, CA are:
What cities near Los Angeles, CA are hiring for Entry Level Python Data Science jobs? Cities near Los Angeles, 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 Los Angeles, CA as of June 2026, with employment types broken down into 87% Full Time, 5% Part Time, and 8% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $131,384 per year, or $63.2 per hour.
Data Scientist Machine Learning

Data Scientist Machine Learning

Rule14

Santa Monica, CA • On-site

$75K - $100K/yr

Full-time

Medical

Posted 16 days ago

Job description

As a Data Scientist Machine Learning, you will work within a small data science team focusing on predictive modeling, natural language processing, computer vision, recommender systems, and OCR projects. You will be responsible for the end-to-end development and deployment of machine learning models, collaborating closely with cross-functional teams to deliver impactful solutions.

Responsibilities

  • Develop and train machine learning models for various applications
  • Perform feature engineering to enhance model performance
  • Select appropriate algorithms based on project requirements
  • Tune and optimize model performance for deployment
  • Clean and preprocess data to ensure model accuracy
  • Design experiments to validate and improve model outcomes
  • Collaborate within a small team to integrate machine learning solutions
  • Manage end-to-end deployment of machine learning models

Preferred Qualifications

  • Proficiency in Python and machine learning frameworks such as TensorFlow, PyTorch, and Scikit-learn
  • Experience with SQL for data querying and manipulation
  • Strong skills in statistical analysis and data visualization
  • Critical thinking and effective communication abilities

Company Description

Rule14 is an AI company and technology incubator focused on applying new approaches to uncover patterns and extract valuable intelligence within big data.
Whether helping businesses gain insight on customer loss prevention, designing targeted revenue enhancement campaigns, or uncovering fraud, waste and abuse within government programs, Rule14 empowers organizations assessing massive amounts of data for real-time decision-making.
Nventr.ai focuses on applying artificial intelligence to real-world operational environments where reliability, speed, and accuracy are critical. The company builds systems that integrate AI directly into day-to-day workflows, enabling better decision-making, automation, and coordination between software and physical operations.
Rule14 logo

About Rule14

Sourced by ZipRecruiter

Industry

Software development

Company size

11 - 50 Employees

Headquarters location

Santa Monica, CA, US

Year founded

2011

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