ZipRecruiter

Log In

1

Temporary Data Scientist Machine Learning Jobs in Irvine, CA

VSolvit

DATA SCIENTIST II

Norco, CA · On-site

$115K - $130K/yr

In this role, you will apply advanced data analytics and machine learning techniques to explore ... Provide technical guidance and mentorship to junior data scientists and analysts Basic ...

Hireblazer

Senior Data Scientist

Irvine, CA · On-site

This KPI-driven team leverages Machine Learning (ML) to deliver personalized experiences. The role involves building end-to-end solutions, collaborating with data scientists and engineers, and ...

CorVel Corporation

Data Scientist II

Irvine, CA · On-site

$120 - $180/hr

We have an exciting opportunity for aData Scientist within our data product space ... This individual will be focused on designing, building, and deploying machine learning models and ...

Corvel

Data Scientist II

Irvine, CA · On-site +1

We have an exciting opportunity for a Data Scientist within our data product space ... This individual will be focused on designing, building, and deploying machine learning models and ...

Corvel

Data Scientist II

Irvine, CA · On-site +1

$82K - $127K/yr

We have an exciting opportunity for a Data Scientist within our data product space ... This individual will be focused on designing, building, and deploying machine learning models and ...

Steg.AI

Machine Learning Scientist

Irvine, CA · On-site

$140 - $200/hr

Our machine learning team currently consists of 3 PhDs in Computer Vision.We are looking for a highly motivated machine learning scientist with a passion for groundbreaking AI technology for ...

next page

Showing results 1-20

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 6, 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:

What are popular job titles related to Temporary Data Scientist Machine Learning jobs in Irvine, CA?

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

What job categories do people searching Temporary Data Scientist Machine Learning jobs in Irvine, CA look for?

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

AI Data Scientist Precision Oncology

Moffitt

West Covina, CA

Full-time

Posted 29 days ago

Key responsibilities

  • Develop, evaluate, and benchmark machine learning models for prediction, prognosis, treatment response, survival analysis, and other oncology-focused applications.

  • Support training, fine-tuning, validation, and performance assessment of machine learning, multimodal AI, foundation-model, and generative AI applications.

  • Build, curate, and maintain datasets derived from clinical, imaging, pathology, molecular, genomic, registry, and longitudinal outcomes data.

Job description

Working at Moffitt is both a career and a mission: to contribute to the prevention and cure of cancer.As the only National Cancer Institute-designated Comprehensive Cancer Center based in Florida, Moffitt employs some of the best and brightest minds from around the world. Join a dedicated team of nearly 11,000 who are shaping the future we envision. Moffitt has been recognized as a Best and Brightest Company to Work For in the Nation and is continually named one of the Tampa Bay Times' Top Workplaces.

Summary

The AI Data Scientist - Precision Oncology develops and applies advanced analytics, machine learning, and artificial intelligence methodologies to support precision oncology research and AI-enabled clinical outcome optimization initiatives. This role works with large-scale clinical, imaging, pathology, molecular, genomic, and outcomes datasets to generate actionable insights, develop predictive models, and support the evaluation and implementation of AI technologies across cancer research and healthcare applications. The AI Data Scientist works at the intersection of data science, machine learning, biomedical data science, and cancer research.This position collaborates closely with other AI Data Scientists, AI/ML Engineers, clinicians, and informaticians to develop high-quality datasets, conduct statistical and predictive analyses, evaluate AI models, and support institutionally scalable oncology AI initiatives.Other related duties as assigned by appropriate Leadership.

Join Moffitt Cancer Center's growing AI and Precision Oncology initiatives and help drive the future of cancer discovery and patient care. As an AI Data Scientist, you'll work at the intersection of artificial intelligence, machine learning, biomedical data science, and oncology, leveraging large-scale clinical, genomic, imaging, pathology, and outcomes data to develop innovative solutions that advance cancer research and improve patient outcomes.

About the Lab

Our mission is to improve cancer patient outcomes through AI-enabled precision oncology and clinical decision support. We develop and deploy multimodal AI approaches that integrate clinical, imaging, pathology, molecular, genomic, and longitudinal outcomes data to generate actionable insights that support personalized cancer care.

Working at the intersection of clinical care, translational research, and artificial intelligence, our team collaborates directly with oncologists, radiologists, pathologists, surgeons, nurses, and multidisciplinary care teams to develop solutions that address real-world challenges in cancer diagnosis, treatment planning, response assessment, and survivorship. By translating advances in machine learning, real-world evidence, and multimodal AI into clinically meaningful applications, we strive to deliver the right information to the right clinician at the right time, helping improve outcomes and advance the future of precision oncology.

Position Highlights

  • Apply advanced machine learning, predictive analytics, and AI methodologies to support precision oncology research and AI-enabled clinical outcome optimization initiatives.
  • Collaborate with AI Data Scientists, AI/ML Engineers, clinicians, and informaticians on institution-wide oncology AI programs and translational research efforts.
  • Work with diverse biomedical datasets, including clinical, molecular, genomic, pathology, imaging, and outcomes data, to generate meaningful insights that impact cancer care and research.
  • Contribute to cutting-edge initiatives involving machine learning, multimodal AI, foundation models, and generative AI technologies.

The Ideal Candidate

  • Passionate about applying data science, machine learning, and AI to solve complex healthcare and cancer research challenges.
  • Brings a strong understanding of real-world oncology data, with experience working across clinical and translational cancer datasets and an appreciation for the challenges of developing AI solutions that support clinical decision-making and improve patient outcomes.
  • Skilled in programming, statistical analysis, predictive modeling, and working with large, complex datasets.
  • Thrives in a collaborative, multidisciplinary environment and can communicate complex analytical findings to both technical and non-technical audiences.
  • Curious, innovative, and excited to evaluate emerging AI technologies and methodologies that can transform oncology research and healthcare outcomes.

Responsibilities

  • Develop, evaluate, and benchmark machine learning models for prediction, prognosis, treatment response, survival analysis, and other oncology-focused applications.
  • Support training, fine-tuning, validation, and performance assessment of machine learning, multimodal AI, foundation-model, and generative AI applications.
  • Build, curate, and maintain datasets derived from clinical, imaging, pathology, molecular, genomic, registry, and longitudinal outcomes data.
  • Perform data exploration, quality assessment, feature engineering, and preparation of structured and unstructured datasets for AI applications.
  • Conduct statistical analyses and real-world evidence studies using large-scale healthcare and biomedical datasets.
  • Create dashboards, reports, visualizations, and analytical products that support research, clinical, and operational decision-making.
  • Translate complex analytical findings into actionable insights for researchers, clinicians, and institutional stakeholders.

Credentials and Qualifications

Required:

  • Bachelor's degree in Computer Science, Data Science, Statistics, Biostatistics, Mathematics, Bioinformatics, Biomedical Engineering, Computer Engineering, Electrical Engineering, Informatics, or a related quantitative discipline.
  • Minimum two (2) years of experience in data science, machine learning, analytics, biomedical informatics, healthcare data science, or a related field. Relevant experience may be obtained through master's degree research.
  • Strong programming skills in Python.
  • Experience with statistical modeling, machine learning techniques, SQL, data engineering, data visualization, and collaborative software development tools.

Preferred:

  • Master's degree in a related quantitative discipline.
  • Experience with PyTorch, Hugging Face, or similar machine learning frameworks.
  • Experience with large language models (LLMs), foundation models, multimodal AI, or generative AI applications.
  • Experience working with clinical, oncology, imaging, molecular, genomic, pathology, or healthcare datasets.
  • Experience with survival analysis, outcomes research, longitudinal data analysis, and AI model evaluation or validation.

Moffitt Cancer Center is an NCI-designated comprehensive Cancer Center in Tampa, Florida. Tampa is an ideal choice for those seeking opportunities in a rapidly growing metropolitan city. With its vibrant economy and diverse culture, Tampa Bay offers a unique blend of urban sophistication and natural beauty. Join the many who have already discovered what makes Tampa one of the fastest-growing metropolitan cities in the U.S.

Moffitt Team Members Are:

  • Eligible for an annual Team Member Incentive.
  • Eligible for an annual Team Member Merit Increase.
  • Eligible for a comprehensive benefits package, including health, financial, and lifestyle coverage.

How to Apply

Interested candidates are encouraged to apply online and submit all required application materials through Moffitt Cancer Center's career site. Candidates should highlight relevant experience in data science, machine learning, AI development, healthcare analytics, or oncology research.

Salary Range

$77,022.40 - $117,582.40

Salary ranges posted for this position represent the expected base pay range for the role. Actual compensation may vary based on location and a variety of job-related factors, including experience, skills, education, and internal equity among Team Members in similar positions.


We are committed to maintaining fair and equitable pay practices and regularly review compensation to ensure alignment across our workforce.

Moffitt Career Site

If you have the vision, passion, and dedication to contribute to our mission,then we have a place for you!

1. Equal Employment Opportunity

Moffitt Cancer Center is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, or protected veteran or disabled status. We seek candidates whose skills, and personal and professional experience, have prepared them to contribute to our commitment to diversity and excellence.

2. Reasonable Accommodation

Federal law requires employers to provide reasonable accommodation to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job or to perform your job. Examples of reasonable accommodation include making a change to the application process or work procedures, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. Moffitt endeavors to make moffitt.org/careers accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact one of the Human Resources receptionists by phone at 813-745-7899 or by email atHRReceptionists@moffitt.org. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications.

Read more information about yourEEO rights under the law.

Transparency in Coverage Rule

Apply