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Data Science Machine Learning Jobs in Los Angeles, CA

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Data Scientist

Manhattan Beach, CA

They will build, test and document new or improved data science applications and machine learning techniques, develop innovative analytic reports, maintain best practices for change management and ...

New

Tror AI for everyone

AI/ML Architect

Los Angeles, CA · On-site

Bachelor's degree or higher in Computer Science, Data Science, Mathematics, Statistics, Engineering , or related field. * 3+ years of experience in data science or machine learning roles. * Advanced ...

Spotter

Machine Learning Scientist

Culver City, CA · On-site

Overview Spotter empowers the world's best Creators with capital, data, and insights to scale their ... Master's degree or PhD in Computer Science, Statistics, Applied Mathematics, Electrical Engineering ...

Staffingine LLC

Senior Data Scientist

Los Angeles, CA · On-site

Design develop and deploy machine learning models and algorithms using Python Lead data science projects from concept to implementation ensuring timely delivery and quality outcomes * Perform ...

Fanatics Collectibles

Data Scientist

Los Angeles, CA

... machine learning techniques to analyze data, uncover insights, and contribute to data-driven product improvements. This role is ideal for someone early in their data science career who is eager to ...

Spotter

Machine Learning Scientist

Culver City, CA

Working with logged interaction data to understand user behavior, evaluate model performance ... Master's degree or PhD in Computer Science, Statistics, Applied Mathematics, Electrical Engineering ...

Yum! Brands

Sr Machine Learning Engineer

Irvine, CA

$112K - $154K/yr

We are seeking a hands-on Senior Machine Learning Engineer to support and enhance machine learning ... This role partners closely with Data Scientists, Data Engineers, and Analytics stakeholders to ...

Yum Brands

Sr Machine Learning Engineer

Irvine, CA

$112K - $154K/yr

We are seeking a hands-on Senior Machine Learning Engineer to support and enhance machine learning ... This role partners closely with Data Scientists, Data Engineers, and Analytics stakeholders to ...

Yum

Sr Machine Learning Engineer

Irvine, CA · On-site

$112K - $154K/yr

This role partners closely with Data Scientists, Data Engineers, and Analytics stakeholders to ... Help productionize machine learning models and data pipelines that support customer analytics ...

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Showing results 41-60

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 14, 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 August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $132,252 per year, or $63.6 per hour.

Lead Data Scientist, Ad Research

The Walt Disney Company

Santa Monica, CA • On-site

Full-time

Re-posted 24 days ago

Walt Disney Company rating

7.7

Company rating: 7.7 out of 10

Based on 128 frontline employees who took The Breakroom Quiz

5th of 52 rated entertainment

Job description

Job Posting Title:

Lead Data Scientist, Ad Research

Req ID:

10142041

Job Description:

Technology is at the heart of Disney's past, present, and future. Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more - all working to build and advance the technological backbone for Disney's media business globally.

The team marries technology with creativity to build world-class products, enhance storytelling, and drive velocity, innovation, and scalability for our businesses.We are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers. We work with every part of The Walt Disney Company's media portfolio to advance the technological foundation and consumer media touch points serving millions of people around the world.

Here are a few reasons why we think you'd love working here:

  • Building the future of Disney's media: Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come.
  • Reach, Scale & Impact: More than ever, Disney's technology and products serve as a signature doorway for fans' connections with the company's brands and stories. Disney+. Hulu. ESPN. ABC. ABC News...and many more. These products and brands - and the unmatched stories, storytellers, and events they carry - matter to millions of people globally.
  • Innovation: We develop and implement groundbreaking products and techniques that shape industry norms, and solve complex and distinctive technical problems.

Ad Platforms is responsible for Disney's industry-leading ad technology and products - driving advertising performance, innovation, and value in Disney's sports, news, and entertainment content, across all media platforms.

The research/AI team is the dedicated AI/ML and data science arm of the Ad Platform organization. Its mission is to advance AI and machine learning capabilities across Ad Platform by delivering scalable, high impact AI/ML and data science solutions that enhance ad decisioning, forecasting, experimentation and ad experience. We are seeking a Lead Data Scientist to join this innovative team. This role is a critical leadership opportunity for a seasoned data science professional who thrives at the intersection of advanced analytics, machine learning, and business strategy.

As a Lead Data Scientist, you will spearhead ML and data science initiatives that shape the future of advertising technology. You will support generative AI production development through rigorous evaluation and data generation pipelines. You will be responsible for designing and executing ML and data science solutions that drive measurable impact across ad decisioning, forecasting, experimentation, and user experience optimization, as well leading evaluation and optimization of generative AI mixed media advertisement creation and enhancement technologies.

WHAT YOU'LL DO

  • Drive innovation and apply data science and statistical analysis in a variety of areas to enhance every aspect of advertising serving, including inventory forecasting, ad experience, ad pacing, pricing, targeting, advertising creation and enhancement, and efficient ad delivery.
  • Translate business questions into data science framework; develop data analysis and data models for complex ad challenges with fast turnaround.
  • Develop rigorous evaluation pipelines for generative AI technologies, including visual generations (image, video) and/or LLM-based agentic generations.
  • Define and evaluate key metrics in various product areas.
  • Partner closely with generative AI specialists to support the creation of datasets for generative AI modeling applications.
  • Develop Standard Operating Procedures for human-driven evaluations or labeling.
  • Deliver data insights and provide data-driven recommendations to cross-team stakeholders.
  • Design and analyze A/B tests for machine learning algorithm iterations.
  • Establish strong partnership with stakeholders, including product managers, engineers and program managers, in a collaborative environment.
  • Mentor team members and support their technical growth.

WHAT TO BRING

  • Bachelor's in computer science, statistics or equivalent experience
  • At least 7 years of relevant industry experience in data science at leading internet or creative technology companies. Experience in the advertising domain is a strong bonus.
  • Experience creating ML datasets and rigorous dataset labeling or evaluation processes for models.
  • Strong interest to learn about generative mixed media, generative video, and diffusion-based technology.
  • Solid knowledge of data science and statistics. Strong communication skills and business acumen.
  • Proficient in SQL, Python, Java, or R. Familiar with Tableau, and/or other visualization tools.
  • Experience designing and building machine learning models.
  • Passionate about understanding the ad business, applying data science to relevant business scenarios, and seeking innovation opportunities to enhance business effectiveness.
  • Interested in supporting rapid prototyping, generative AI, and creative technologies, including applications to advertisement creation and enhancement.
  • Experienced building data-driven services and applications for production.
  • A proven track record of thriving in a fast-paced, data-driven, and collaborative work environment is required.

NICE-TO-HAVES

  • MS or PhD in computer science, statistics or equivalent experience
  • Experience in digital video advertising or digital marketing domain
  • Experience in production-grade development, rapid prototyping, or generative AI related research using LLMs, generative imagery or video, or agentic flows. Otherwise a strong interest to learn.
  • Experience with Airflow, data warehouse, Databricks or Sagemaker.

#DISNEYTECH

The hiring range for this position in Los Angeles, CA area is $155,700 - $208,700 per year and Seattle Area is $163,100 - $218,700. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.

Job Posting Segment:

Ad Platforms

Job Posting Primary Business:

AP - Software Engineering

Primary Job Posting Category:

Data Science

Employment Type:

Full time

Primary City, State, Region, Postal Code:

Seattle, WA, USA

Alternate City, State, Region, Postal Code:

USA - CA - 1200 Grand Central Ave, USA - CA - 2450 Broadway

Date Posted:

2026-02-20

What Walt Disney Company employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Walt Disney logo

About Walt Disney

Sourced by ZipRecruiter

At Disney, we're storytellers. We make the impossible, possible. We do this through utilizing and developing cutting-edge technology and pushing the envelope to bring stories to life through our movies, products, interactive games, parks and resorts, and media networks. Now is your chance to join our talented team that delivers unparalleled creative content to audiences around the world. "We create happiness." That's our motto at Walt Disney Parks and Resorts. And it permeates everything we do. At Disney, you'll help inspire that magic by enabling our teams to push the limits of entertainment and create the never-before-seen!

Industry

Amusement, gambling, and recreation

Company size

10,000+ Employees

Headquarters location

Burbank, CA, US

Social media

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