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Temporary Data Scientist Machine Learning Jobs in Irvine, CA

REVOLVE GROUP

Data Scientist

Cerritos, CA · On-site

$100 - $125/hr

Data Scientist Regular Full-Time Cerritos, CA, US Salary Range: $90,000.00 To $120,000.00 Annually ... Knowledge of quantitative methods in statistics and machine learning * Intense intellectual ...

REVOLVE

Data Scientist

Cerritos, CA · On-site

$90K - $120K/yr

Main purpose of the Data Science Analyst role: Use a diverse skill sets across math and computer ... Knowledge of quantitative methods in statistics and machine learning * Intense intellectual ...

Boot Barn

Data Scientist

Irvine, CA · On-site

$95K - $120K/yr

The Data Scientist will play a critical role in building the foundation of Data Science division, with a focus on developing advanced machine learning and assisting in generative AI solutions. This ...

Boot Barn

Data Scientist

Irvine, CA

$95K - $120K/yr

The Data Scientist will play a critical role in building the foundation of Data Science division, with a focus on developing advanced machine learning and assisting in generative AI solutions. This ...

REVOLVE

Senior Data Scientist

Cerritos, CA · On-site

$120K - $150K/yr

Main purpose of the Senior Data Scientist role: Use a diverse skill sets across math and computer ... Knowledge of quantitative methods in statistics and machine learning * Intense intellectual ...

Skyworks

Sr. Data Scientist

Irvine, CA · On-site

$114K - $220K/yr

Sr. Data Scientist Posting Start Date: 6/3/26 Job Location(s): Irvine If you are looking for a ... Requisition ID: 77724 Description Skyworks Solutions is seeking a Machine Learning and Data ...

Pwc

AI & GenAI Data Scientist - Manager

Irvine, CA

$99K - $232K/yr

Management Information Systems, Computer and Information Science, Systems Engineering, Mathematics ... Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS ...

Autodesk

Data Scientist, FP&A Solutions

Ontario, CA · On-site +1

The Data Scientist will partner closely with FP&A, Finance, Data Engineering, and business teams to ... Improve financial forecasting through statistical modeling, machine learning, driver-based ...

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 ...

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All JobsData Scientist Machine Learning JobsTemporary Data Scientist Machine Learning JobsTemporary Data Scientist Machine Learning Jobs in Irvine, CA

Temporary Data Scientist Machine Learning information

See Irvine, CA salary details

$40.3K

$131.7K

$210.9K

How much do temporary data scientist machine learning jobs pay per year?

As of Sep 7, 2026, the average yearly pay for temporary data scientist machine learning in Irvine, CA is $131,746.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,700.00 and $146,000.00 per year, depending on experience, location, and employer.

What does a temporary data scientist specializing in machine learning do?

A Temporary Data Scientist specializing in Machine Learning is responsible for designing, building, and deploying machine learning models to analyze data and generate insights, but works on a contract or short-term basis. Their duties often include data preprocessing, model selection and validation, and communicating results to stakeholders. They may also be tasked with automating processes, cleaning large datasets, and collaborating with other teams to implement solutions. The temporary nature of the job means they often focus on specific projects or provide support during peak periods.

What are the key skills and qualifications needed to thrive as a temporary data scientist specializing in machine learning?

To thrive as a Temporary Data Scientist Machine Learning, you generally need a strong background in statistics, programming (Python or R), and experience with machine learning algorithms, often supported by a degree in computer science, mathematics, or a related field. Familiarity with data visualization tools (like Tableau), machine learning libraries (such as scikit-learn, TensorFlow, or PyTorch), and version control systems (e.g., Git) is typically required. Strong problem-solving abilities, adaptability, and effective communication are crucial soft skills for collaborating with teams and translating technical findings to stakeholders. These skills ensure that temporary data scientists can quickly contribute actionable insights, drive data-driven decisions, and add value within a limited time frame.

What are some typical projects or tasks a temporary data scientist specializing in machine learning might work on?

As a temporary Data Scientist focusing on machine learning, you can expect to work on short-term, high-impact projects such as building predictive models, cleaning and preparing data, or developing automated analytics solutions. You may be brought in to support ongoing initiatives, provide expertise for a specific project phase, or help accelerate a backlog of tasks. Collaboration is common, and you'll likely work closely with data engineers, business analysts, and domain experts to understand requirements and deliver actionable insights within tight deadlines. This role offers exposure to diverse datasets and tools, and is an excellent opportunity to rapidly expand your experience and network.

What is the difference between Temporary Data Scientist Machine Learning vs Temporary Data Analyst?

AspectTemporary Data Scientist Machine LearningTemporary Data Analyst
Required CredentialsBachelor's/Master's in Data Science, Computer Science, or related fields; knowledge of ML algorithmsBachelor's in Statistics, Mathematics, or related fields; proficiency in data analysis tools
Work EnvironmentProject-based, collaborative teams, tech-focused companiesBusiness units, reporting teams, data-driven departments
Employer & Industry UsageTech firms, finance, healthcare, e-commerceRetail, marketing, finance, consulting

Temporary Data Scientist Machine Learning roles focus on developing and deploying machine learning models, requiring advanced analytics skills. Temporary Data Analysts primarily interpret data, generate reports, and support decision-making. While both roles involve data handling, Data Scientists with ML expertise work on predictive modeling, whereas Data Analysts focus on descriptive analytics. The choice depends on the project needs and skill requirements.

What are the most commonly searched types of Data Scientist Machine Learning jobs in Irvine, CA?

The most popular types of Data Scientist Machine Learning jobs in Irvine, CA are:

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For Temporary Data Scientist Machine Learning jobs in Irvine, CA, the most frequently searched job titles are:

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The top searched job categories for Temporary Data Scientist Machine Learning jobs in Irvine, CA are:

What cities near Irvine, CA are hiring for Temporary Data Scientist Machine Learning jobs?

Cities near Irvine, CA with the most Temporary Data Scientist Machine Learning job openings:

Temporary Data Scientist Machine Learning jobs near you

Machine Learning Scientist

Xforia, Inc.

Laguna Hills, CA • On-site

Contractor

This job post has expired today. Applications are no longer accepted.

Job description

ESSENTIAL JOB DUTIES AND RESPONSIBILITIES:
Rapid prototyping, training, and testing of ML solutions using online code repositories, research publications, or customer specifications.
Staying current with advancements in ML, including new development tools, libraries, frameworks, ML models/architectures, training techniques, and application pipelines.
Participating in ML algorithm/hardware co-design tasks.
Performing, documenting, and presenting detailed analyses related to ML algorithm development, software/hardware benchmarking, and application development.
Gaining a thorough understanding of the Akida 1.0/2.0 hardware device and associated software stack (MetaTF).
Interfacing with customers to discuss ML application goals, constraints, and opportunities.
Developing and optimizing models for time series data and large language models (LLMs).
Advancing the state-of-the-art in ML through innovative research and practical coding skills.
QUALIFICATIONS:
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
Education/Experience:
Master's Degree in Computer Science, Electrical Engineering, or a related field with 5+ years of experience; or a PhD with 3+ years of experience.
Coursework in machine learning, computer vision, control systems, and time series modeling.
Strong programming skills in Python.
Experience developing ML applications in TensorFlow/Keras and/or PyTorch.
Excellent communication skills.
Experience in one or more of the following application fields: Image Processing/Computer Vision, ADAS, Anomaly Detection, Audio/Speech Processing, Automatic Speech Recognition, and Time Series Modeling
Evidence of creativity, including patents and publications.
Preferred Qualifications:
Experience training and optimizing large language models (LLMs).
Ph.D. 5+ years of domain expertise
Multi-project experience in object classification, object detection, face recognition, keyword spotting, and time series modeling, automatic speech recognition.
Knowledge of deep learning quantization techniques.
Experience with Docker and Git.
Experience with Scrum/Agile software development methodologies (e.g., Jira).
Language Skills:
Exceptional presentation, verbal and written skills.
Ability to independently synthesize a point of view given many different perspectives.
Ability to read and interpret documents, such as policies and procedures, routine mail, contracts, and instruction manuals. Ability to compose routine reports and correspondence.
Ability to effectively communicate with persons of various social, cultural, economic, and educational backgrounds.
Reasoning Ability:
Advanced ability to analyze information, problems, situations, practices, or procedures.
Advanced ability to analyze complex technical data using qualitative and quantitative sources of information to formulate logical and objective conclusions and to recognize alternatives and their implications.
Ability to carry out instructions delivered in written, oral, or other formats in daily situations.
Ability to deal with problems involving several concrete variables in standardized situations.
Ability to make timely decisions to produce positive outcomes.

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