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Apprentice Data Scientist Machine Learning Jobs in California

Molina Healthcare

Data Scientist

Long Beach, CA · On-site

Developing and deploying advanced machine learning models and AI solutions that enhance our products and services. Leverage their expertise in data science, machine learning, and AI technologies to ...

Apple

Data Scientist

Sunnyvale, CA · On-site

Working at the intersection of machine learning, data science, and product quality, you will influence critical decisions through data-driven insights and technical leadership. You will collaborate ...

MhyMatch

Data Scientist

San Francisco, CA · On-site +1

Design and implement statistical models and machine learning algorithms to analyze diverse sources ... Mentor junior data scientists and provide technical guidance. * Contribute to the continuous ...

Walmart

Senior, Data Scientist

San Francisco, CA · On-site

$117K - $234K/yr

We are seeking a Senior Data Scientist with a strong foundation in machine learning, information ... Experience building machine learning, Deep Learning models, GenAI applications and deploying to ...

Walmart

Senior, Data Scientist

South San Francisco, CA · On-site

$117K - $234K/yr

We are seeking a Senior Data Scientist with a strong foundation in machine learning, information ... Experience building machine learning, Deep Learning models, GenAI applications and deploying to ...

VSolvit

DATA SCIENTIST II

Norco, CA · On-site

$115K - $130K/yr

Data Scientist II On Site: Norco, CA Job Summary We are seeking a talented and driven mid-level ... In this role, you will apply advanced data analytics and machine learning techniques to explore ...

Walmart

Senior, Data Scientist

Daly City, CA · On-site

$117K - $234K/yr

We are seeking a Senior Data Scientist with a strong foundation in machine learning, information ... Experience building machine learning, Deep Learning models, GenAI applications and deploying to ...

Walmart

Senior, Data Scientist

Cupertino, CA · On-site

$117K - $234K/yr

We are seeking a Senior Data Scientist with a strong foundation in machine learning, information ... Experience building machine learning, Deep Learning models, GenAI applications and deploying to ...

Walmart

Senior, Data Scientist

Hayward, CA · On-site

$117K - $234K/yr

We are seeking a Senior Data Scientist with a strong foundation in machine learning, information ... Experience building machine learning, Deep Learning models, GenAI applications and deploying to ...

Walmart

Senior, Data Scientist

Redwood City, CA · On-site

$117K - $234K/yr

We are seeking a Senior Data Scientist with a strong foundation in machine learning, information ... Experience building machine learning, Deep Learning models, GenAI applications and deploying to ...

Walmart

Senior, Data Scientist

Richmond, CA · On-site

$117K - $234K/yr

We are seeking a Senior Data Scientist with a strong foundation in machine learning, information ... Experience building machine learning, Deep Learning models, GenAI applications and deploying to ...

Walmart

Senior, Data Scientist

Fremont, CA · On-site

$117K - $234K/yr

We are seeking a Senior Data Scientist with a strong foundation in machine learning, information ... Experience building machine learning, Deep Learning models, GenAI applications and deploying to ...

Walmart

Senior, Data Scientist

Berkeley, CA · On-site

$117K - $234K/yr

We are seeking a Senior Data Scientist with a strong foundation in machine learning, information ... Experience building machine learning, Deep Learning models, GenAI applications and deploying to ...

Walmart

Senior, Data Scientist

San Bruno, CA

$117K - $234K/yr

We are seeking a Senior Data Scientist with a strong foundation in machine learning, information ... Experience building machine learning, Deep Learning models, GenAI applications and deploying to ...

Walmart

Senior, Data Scientist

San Bruno, CA · On-site

$117K - $234K/yr

We are seeking a Senior Data Scientist with a strong foundation in machine learning, information ... Experience building machine learning, Deep Learning models, GenAI applications and deploying to ...

Walmart

Senior, Data Scientist

Castro Valley, CA · On-site

$117K - $234K/yr

We are seeking a Senior Data Scientist with a strong foundation in machine learning, information ... Experience building machine learning, Deep Learning models, GenAI applications and deploying to ...

Walmart

Senior, Data Scientist

Palo Alto, CA · On-site

$117K - $234K/yr

We are seeking a Senior Data Scientist with a strong foundation in machine learning, information ... Experience building machine learning, Deep Learning models, GenAI applications and deploying to ...

Walmart

Senior, Data Scientist

Oakland, CA · On-site

$117K - $234K/yr

We are seeking a Senior Data Scientist with a strong foundation in machine learning, information ... Experience building machine learning, Deep Learning models, GenAI applications and deploying to ...

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All JobsApprentice Data Scientist Machine Learning JobsApprentice Data Scientist Machine Learning Jobs in California

Apprentice Data Scientist Machine Learning information

What is the difference between Apprentice Data Scientist Machine Learning vs Data Scientist?

AspectApprentice Data Scientist Machine LearningData Scientist
Required CredentialsBasic degree, entry-level certificationsAdvanced degree (Master's or PhD), specialized certifications
Work EnvironmentInternships, training programs, entry-level projectsFull-time roles in various industries, independent project work
Employer & Industry UsageStartups, tech companies, research labsCorporate, finance, healthcare, tech firms
Search & Comparison IntentLearning path, entry-level roles, trainingCareer advancement, expertise, senior roles

In summary, Apprentice Data Scientist Machine Learning roles are entry-level positions focused on learning and skill development, often requiring basic education and certifications. Data Scientists typically hold advanced degrees and have more experience, working independently on complex projects across various industries. The main difference lies in experience level, responsibilities, and career stage.

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 cities in California are hiring for Apprentice Data Scientist Machine Learning jobs? Cities in California with the most Apprentice Data Scientist Machine Learning job openings:
Apprentice Data Scientist Machine Learning jobs near you
AI / Machine Learning Talent

AI / Machine Learning Talent

Ensemble Health Partners, Inc.

San Jose, CA • On-site

Full-time

Medical, Retirement

Posted 22 days ago

Ensemble Health Partners rating

6.5

Company rating: 6.5 out of 10

Based on 239 frontline employees who took The Breakroom Quiz

140th of 148 rated financial services

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.
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