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Data Science Machine Learning Jobs in Los Angeles, CA

Rule14

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Data Scientist Machine Learning

Santa Monica, CA · On-site

$75K - $100K/yr

As a Data Scientist Machine Learning, you will work within a small data ... science team focusing on predictive modeling, natural language processing, computer vision ...

Cedars-Sinai

Research Data Scientist

West Hollywood, CA

$94K - $161K/yr

Create sustainable data science infrastructure and adheres to data analysis/machine learning best practices. Perform data cleaning, quality control, exploratory data analysis to gauge the need for or ...

CorVel Corporation

Data Scientist II

Irvine, CA · On-site +1

Design, build, train, and deploy machine learning models and data products for enterprise use * Translate business and operational needs into scalable data science solutions and modeling approaches

Heluna Health

Data Scientist Supervisor

Alhambra, CA

$9.8K - $13K/mo

Extensive hands-on experience in machine learning, AI, and predictive modeling. Proven experience leading and mentoring data science teams. Certificates/Licenses/Clearances * Successful clearing ...

Heluna Health

Data Scientist Supervisor

Alhambra, CA · On-site

$9.8K - $13K/mo

Extensive hands-on experience in machine learning, AI, and predictive modeling. Proven experience leading and mentoring data science teams. Certificates/Licenses/Clearances * Successful clearing ...

Match Group

Machine Learning Engineer II

Los Angeles, CA · On-site

$105K - $143K/yr

Machine Learning Software Engineers who bridge the gap between research and production by ... Strong foundation in computer science fundamentals, including data structures, algorithms, and ...

Match Group

Machine Learning Engineer II

Los Angeles, CA · On-site +1

$145K - $165K/yr

Machine Learning Software Engineers who bridge the gap between research and production by ... Strong foundation in computer science fundamentals, including data structures, algorithms, and ...

Match Group

Machine Learning Engineer II

Los Angeles, CA · On-site +1

$105K - $143K/yr

Machine Learning Software Engineers who bridge the gap between research and production by ... Strong foundation in computer science fundamentals, including data structures, algorithms, and ...

Hireblazer

Senior Data Scientist

Irvine, CA · On-site

The Sr. Data Scientist will join the Personalization Data ... Science and Machine Learning team to focus on solving recommendations, ranking, user condition ...

1 point system

Data Science Engineer

Century City, CA · On-site

Incorporating the latest developments in Data Science (Generative, statistical modeling, machine learning, and advanced visualization) to solve complex business problems, they collaborate within a ...

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All JobsData Science Machine Learning JobsData Science Machine Learning Jobs in Los Angeles, CA

Data Science Machine Learning information

See Los Angeles, CA salary details

$40.4K

$132.3K

$211.7K

How much do data science machine learning jobs pay per year?

As of Aug 3, 2026, the average yearly pay for data science machine learning in Los Angeles, CA is $132,252.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,100.00 and $146,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a data science machine learning professional?

To thrive as a Data Science Machine Learning professional, you need a strong background in statistics, programming (usually Python or R), and a solid understanding of machine learning algorithms, often supported by a degree in computer science, mathematics, or a related field. Familiarity with tools like TensorFlow, scikit-learn, SQL databases, and cloud platforms, as well as certifications such as AWS Certified Machine Learning, are typically valuable. Critical thinking, problem-solving, and effective communication are vital soft skills for interpreting data and collaborating with stakeholders. These skills enable professionals to develop robust models, extract actionable insights, and drive data-driven decision-making in organizations.

What are some common challenges faced when deploying machine learning models as a data science machine learning professional?

A frequent challenge in this role is bridging the gap between building accurate models in a controlled environment and deploying them effectively in production systems. Issues such as data drift, model performance degradation, and integration with existing IT infrastructure often arise. Collaboration with engineering and IT teams is crucial to ensure models are scalable, maintainable, and secure. Regular monitoring and updating of deployed models are also essential responsibilities to sustain their value to the business.

What is the difference between Data Science Machine Learning vs Data Analyst?

AspectData Science Machine LearningData Analyst
Required SkillsProgramming (Python, R), statistics, machine learning algorithmsData visualization, SQL, basic statistics
Work EnvironmentDeveloping models, coding, experimenting with algorithmsData reporting, dashboard creation, data cleaning
Industry UsageTech, finance, healthcare, where predictive models are neededBusiness intelligence, marketing, operations

Data Science Machine Learning professionals focus on building predictive models and algorithms using programming and advanced statistics, often working on complex projects. Data Analysts primarily interpret data through visualization and reporting to support business decisions. While both roles require data skills, Data Science Machine Learning involves more technical programming and modeling, whereas Data Analysts focus on data interpretation and presentation.

What is data science machine learning?

Data science machine learning refers to the use of algorithms and statistical models to analyze and draw insights from complex data sets. In this field, professionals use machine learning techniques to build predictive models, automate decision-making processes, and uncover patterns in data. Machine learning is a core component of data science, enabling systems to improve their performance over time without being explicitly programmed. Data scientists with machine learning expertise are in high demand across industries like healthcare, finance, and technology.
What cities near Los Angeles, CA are hiring for Data Science Machine Learning jobs? Cities near Los Angeles, CA with the most Data Science Machine Learning job openings:
Data Science Machine Learning jobs near you
Infographic showing various Data Science Machine Learning job openings in Los Angeles, CA as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $132,252 per year, or $63.6 per hour.

Data Scientist Machine Learning

Rule14

Santa Monica, CA • On-site

$75K - $100K/yr

Full-time

Medical

Re-posted 27 days ago

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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.

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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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