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Data Science Machine Learning Jobs in Los Angeles, CA

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 ...

BeeGenius

Data Scientist

Los Angeles, CA · On-site

... data science and machine learning Qualifications : Required : • Master's or Ph.D. in Computer ... Science, Statistics, or a related field • Proficiency in programming languages such as Python or ...

BeeGenius

Data Scientist

Los Angeles, CA · On-site

... data science and machine learning Qualifications : Required : • Master's or Ph.D. in Computer ... Science, Statistics, or a related field • Proficiency in programming languages such as Python or ...

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 ...

Machina Labs

Machine Learning Engineer

Los Angeles, CA

$160K - $190K/yr

You'll work closely with our engineering team to transform raw data into actionable intelligence ... Master's degree in Computer Science, Machine Learning, Artificial Intelligence, or a closely ...

Machina Labs

Machine Learning Engineer

Chatsworth, CA · On-site

$160K - $190K/yr

You'll work closely with our engineering team to transform raw data into actionable intelligence ... Master's degree in Computer Science, Machine Learning, Artificial Intelligence, or a closely ...

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 ...

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 ...

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 · On-site

... 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 ...

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Showing results 21-40

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 6, 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, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $132,252 per year, or $63.6 per hour.

Data Science Engineer

1 point system

Century City, CA • On-site

Contractor

Re-posted 3 days ago

Job description

Must take a coderbyte test.
Must have excellent communication
 
Job Description:
Summary
The Data Scientist is a member of a highly motivated Tech team responsible for accelerating the creation of opportunity through the strategic use of data. Incorporating the latest developments in Data Science (Generative, statistical modeling, machine learning, and advanced visualization) to solve complex business problems, they collaborate within a forward-thinking team to drive operational efficiency and shape innovative solutions for critical use cases.
 
The work they are doing is a data conversion project where one team is building a new financial application and needs to migrate financial data from multiple legacy source systems into the new platform. The work is developing Python scripts for data extraction, transformation, and validation, performing end-to-end testing, reconciling data accuracy, and managing the cutover process to ensure a smooth transition to the new system. The conversion is from Dynamics AX to SAP
 
Responsibilities
Development of Data Science Solutions:

  • Test and prototype innovative algorithms leveraging technologies such as Generative AI, NLP, and Machine Learning models
  • Partner with engineering teams to develop technology infrastructure
  • Build and refine models to maintain optimal performance and relevance

Collaboration and Communication

  • Work closely with cross-functional team to align data science initiatives with business priorities
  • Partner with leadership to identify and prioritize high-impact opportunities for data science applications
  • Present insights and recommendations through clear visualizations tailored for audiences across different roles and expertise levels

Data Wrangling:

  • Identify data sources that can be useful to answer business questions
  • Perform experiments on ingested data to evaluate quality and integrity
  • Build data pipelines for ongoing data extraction

Data Exploration and Visualization:

  • Use advanced visualization techniques to present data insights in a compelling way
  • Apply advanced analytics to create metrics and KPIs that summarize insights from data

Data Analysis:

  • Apply advanced statistical methods for classification and prediction, including machine learning methods
  • Document processes and analysis, using reproducible methods and scripts
  • Provide advice to the business on strengths and limitations of statistical results, to avoid misuse

 
Required Capabilities

  • Minimum 3 years working in a Data Science role
  • Bachelor’s degree in a relevant field such Mathematics, Science, Engineering, Computer Science, or Business
  • Master’s Degree in relevant discipline preferred
  • Hands-on experience with Generative AI models, including fine-tuning, deployment, and evaluation
  • Proficiency in using Python, R, or similar mathematical programming languages for advanced predictive modeling and visualization. Python expertise preferred
  • Proficiency in using SQL and modern Database management
  • Experience with Spark or similar distributed computing platforms
  • Experience with Deep Learning methods and applications (Keras, Torch, TensorFlow) preferred
  • Experience with Natural Language Processing methods and applications preferred
  • Experience successfully implementing analytical solutions with real-world business impact
  • Excellent analytical and problem-solving skills
  • Demonstrated initiative and ownership of tasks and projects
  • Ability to prioritize, coordinate, and complete tasks to meet deadlines
  • Ability to work effectively both independently and in team environments
  • Ability to present complex problems in simple terms