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Temporary Data Scientist Machine Learning Jobs in California

About the role As a Machine Learning Scientist , you will develop cutting-edge AI models to integrate and decode complex, multimodal data streams from our custom sensing hardware. You'll play a ...

As a Machine Learning Scientist, you will develop cutting‑edge AI models to integrate and decode complex, multimodal data streams from our custom sensing hardware. You'll play a pivotal role in ...

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 ...

THE ROLE Data Scientist, Growth We are seeking a Data Scientist, Growth to join our growing team ... Build end-to-end production machine learning models from 0 to 1 with immediate, high-visibility ...

Data Scientist Supervisor

Alhambra, CA · On-site

$9.8K - $13K/mo

The Data Scientist Supervisor leads a team of data scientists within the DHS Data & Analytics Unit ... Apply advanced statistical methods, machine learning algorithms, and data mining techniques to ...

Title and Summary Senior Data Scientist Overview: We are seeking a Senior Data Scientist to design ... Design, build, and deploy machine learning models for ad targeting, ranking, and bidding ...

Data Scientist Supervisor

Alhambra, CA · On-site

$9.8K - $13K/mo

The Data Scientist Supervisor leads a team of data scientists within the DHS Data & Analytics Unit ... Apply advanced statistical methods, machine learning algorithms, and data mining techniques to ...

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 ...

Data Scientist Supervisor

Alhambra, CA · On-site

$9.8K - $13K/mo

The Data Scientist Supervisor leads a team of data scientists within the DHS Data & Analytics Unit ... Apply advanced statistical methods, machine learning algorithms, and data mining techniques to ...

... Machine Learning, or Data Scientist role. * Familiarity with a brand range of quasi‑experimental Causal Inference techniques such as diff‑in‑diff, synthetic control method, panel analysis ...

Data Scientist Location: Sunnyvale, CA Sponsorship: Yes Relocation: Yes Industry: eCommerce Are you ... Use data mining and machine learning techniques to develop robust models in areas such as ...

We are a highly motivated group of Big Data Geeks, Machine Learning Scientists, and Applications Engineers, working in a small agile group to solve sophisticated and high-impact problems. We are ...

Showing results 41-60

Temporary Data Scientist Machine Learning information

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 California?

The most popular types of Data Scientist Machine Learning jobs in California are:

What are popular job titles related to Temporary Data Scientist Machine Learning jobs in California?

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

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

The top searched job categories for Temporary Data Scientist Machine Learning jobs in California are:

What cities in California are hiring for Temporary Data Scientist Machine Learning jobs?

Cities in California with the most Temporary Data Scientist Machine Learning job openings:

Infographic showing various Temporary Data Scientist Machine Learning job openings in California as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 81% Full Time, 14% Part Time, 1% Temporary, and 2% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution.

AI / Machine Learning Talent

San Jose, CA • On-site

Ensemble Health Partners, Inc.
Health Care and Social Assistance • 5 - 10K employees

Full-time

Medical, Retirement

Re-posted 24 days ago


Ensemble Health Partners rating

6.6

Company rating: 6.6 out of 10

Based on 246 frontline employees who took The Breakroom Quiz


Job description

Thank you for considering a career at Ensemble!
Ensemble is a leading provider of technology-enabled revenue cycle management solutions for health systems, including hospitals and affiliated physician groups. They offer end-to-end revenue cycle solutions as well as a comprehensive suite of point solutions to clients across the country.
Ensemble keeps communities healthy by keeping hospitals healthy. We recognize that healthcare requires a human touch, and we believe that every touch should be meaningful. This is why our people are the most important part of who we are. By empowering them to challenge the status quo, we know they will be the difference!
O.N.E Purpose:
  • Customer Obsession: Consistently provide exceptional experiences for our clients, patients, and colleagues by understanding their needs and exceeding their expectations.
  • Embracing New Ideas: Continuously innovate by embracing emerging technology and fostering a culture of creativity and experimentation.
  • Striving for Excellence: Execute at a high level by demonstrating our "Best in KLAS" Ensemble Difference Principles and consistently delivering outstanding results.

The Opportunity:
AI Lab - AI/ML Opportunities
Location: San Jose, CA (Hybrid - Onsite 3x per week on Tues, Wed, Thurs)
About Ensemble's AI Lab
Ensemble Health Partners is the leading Revenue Cycle Management (RCM) partner to U.S. health systems. We sit between hospitals, payers, and patients, and we are responsible for billions of dollars of healthcare revenue moving accurately and on time. AI is increasingly central to how we do that work - from predicting denials and automating coding to flagging payment integrity issues and routing accounts to the right action at the right time. These roles exists where those AI systems meet the business outcomes we are paid to deliver.
We are continuously building a pipeline of exceptional AI/ML talent across research, data science, and engineering. This general application allows candidates to be considered for multiple roles across the AI Lab. Final role alignment (e.g., Data Scientist, AI Research Scientist, Machine Learning Engineer) and leveling will be determined based on interview performance, experience, and team needs.
What You'll Work On
Depending on your background and strengths, you may:
  • Design, build, evaluate, and improve machine learning and AI systems in production environments
  • Translate business problems into AI/ML solutions and measurable outcomes
  • Develop and run experiments to evaluate models, including defining metrics, datasets, and success criteria
  • Productize models into scalable, reliable, and cost-efficient services
  • Optimize training and inference performance (latency, throughput, cost)
  • Analyze real-world system behavior and production data to drive continuous improvements
  • Partner cross-functionally with engineering, product, and domain experts to deliver end-to-end solutions
  • Contribute to AI research, experimentation, and adoption of new techniques where applicable
  • Communicate findings, tradeoffs, and recommendations clearly to both technical and non-technical stakeholders

What We're Looking For
We are hiring across a range of profiles, but strong candidates will demonstrate:
  • Proven experience working with machine learning or AI systems in real-world or production settings
  • Strong problem-solving skills and ability to operate in ambiguous, evolving environments
  • Ability to connect technical work to measurable business or product outcomes
  • Experience collaborating across teams (engineering, product, data, or research)
  • Ownership mindset-taking work from idea through execution and impact

Technical Skills (vary by role)
Candidates may have experience with some combination of:
  • Programming: Python (required), plus familiarity with SQL and other languages (e.g., Java, C++, Go)
  • Machine Learning: Model development, evaluation, and optimization
  • Deep Learning: Frameworks such as PyTorch, TensorFlow, Hugging Face
  • LLMs & Modern AI: Fine-tuning, prompt engineering, evaluation frameworks, or emerging techniques (e.g., PEFT, RLHF)
  • Data & Analytics: Statistics, experimentation, causal inference, and working with real-world datasets
  • Systems & Infrastructure (Engineer-leaning candidates):
    • Model serving, APIs, and distributed systems
    • Training at scale (e.g., multi-GPU / distributed training)
    • Performance optimization and cost efficiency
  • Research (Research-leaning candidates):
    • Experiment design, evaluation rigor
    • Reading and applying state-of-the-art research
    • Publication or novel contributions (preferred, not required)

Qualifications
  • Bachelor's degree in Computer Science, Engineering, Data Science, Mathematics, or related field required
  • Master's or PhD preferred for certain roles (especially research-oriented positions), but not required for all paths
  • Relevant industry experience typically ranges from 3+ years (Senior) to advanced leadership/ownership experience (Staff/Principal)

The base salary range for these roles is $154,100 to $341,600.
Join an award-winning company
Five-time winner of "Best in KLAS" 2020-2022, 2024-2025
Black Book Research's Top Revenue Cycle Management Outsourcing Solution 2021-2024
22 Healthcare Financial Management Association (HFMA) MAP Awards for High Performance in Revenue Cycle 2019-2024
Leader in Everest Group's RCM Operations PEAK Matrix Assessment 2024
Clarivate Healthcare Business Insights (HBI) Revenue Cycle Awards for strong performance 2020, 2022-2023
Energage Top Workplaces USA 2022-2024
Fortune Media Best Workplaces in Healthcare 2024
Monster Top Workplace for Remote Work 2024
Great Place to Work certified 2023-2024
  • Innovation
  • Work-Life Flexibility
  • Leadership
  • Purpose + Values

Bottom line, we believe in empowering people and giving them the tools and resources needed to thrive. A few of those include:
  • Associate Benefits - We offer a comprehensive benefits package designed to support the physical, emotional, and financial health of you and your family, including healthcare, time off, retirement, and well-being programs.
  • Our Culture - Ensemble is a place where associates can do their best work and be their best selves. We put people first, last and always. Our culture is rooted in collaboration, growth, and innovation.
  • Growth - We invest in your professional development. Each associate will earn a professional certification relevant to their field and can obtain tuition reimbursement.
  • Recognition - We offer quarterly and annual incentive programs for all employees who go beyond and keep raising the bar for themselves and the company.

Ensemble is an equal employment opportunity employer. It is our policy not to discriminate against any applicant or employee based on race, color, sex, sexual orientation, gender, gender identity, religion, national origin, age, disability, military or veteran status, genetic information or any other basis protected by applicable federal, state, or local laws. Ensemble also prohibits harassment of applicants or employees based on any of these protected categories.
Ensemble provides reasonable accommodations to qualified individuals with disabilities in accordance with the Americans with Disabilities Act and applicable state and local law. If you require accommodation in the application process, please contact TA@ensemblehp.com.
This posting addresses state specific requirements to provide pay transparency. Compensation decisions consider many job-related factors, including but not limited to geographic location; knowledge; skills; relevant experience; education; licensure; internal equity; time in position. A candidate entry rate of pay does not typically fall at the minimum or maximum of the role's range.
Employment Disclaimers - Ensemble

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