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Data Scientist Intern Jobs in Riverside, CA (NOW HIRING)

Pwc

AI & GenAI Data Scientist-Senior Associate

Irvine, CA · On-site

$77K - $202K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary The Opportunity As an AI & GenAI Data Scientist-Senior Associate, you will be at the ...

The Trade Desk

Applied Scientist II

Irvine, CA

Working with such large-scale data requires our applied scientists to be at the cutting edge of both the data processing frameworks as well as scalable algorithms. Our Applied Scientists also serve ...

MegazoneCloud US

Data Engineer

Irvine, CA · On-site

$121K - $145K/yr

Work as a 'force multiplier' within our cross-functional teams, partnering with data science ... from intern to executive. Qualifications : Required : • 3-5+ years of professional data ...

MegazoneCloud Global

Data Engineer

Irvine, CA · On-site

$121K - $145K/yr

Work as a "force multiplier" within our cross-functional teams, partnering with data science ... from intern to executive. Qualifications : Required : • 3-5+ years of professional data ...

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All JobsData Scientist Intern JobsData Scientist Intern Jobs in Riverside, CA

Data Scientist Intern information

See Riverside, CA salary details

$48K

$172.2K

$254K

How much do data scientist intern jobs pay per year?

As of Jun 13, 2026, the average yearly pay for data scientist intern in Riverside, CA is $172,158.00, according to ZipRecruiter salary data. Most workers in this role earn between $139,300.00 and $177,400.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Data Scientist Intern, and why are they important?

To thrive as a Data Scientist Intern, you generally need a strong foundation in statistics, programming (often Python or R), and data analysis, often supported by coursework in computer science or related fields. Familiarity with tools such as Jupyter Notebook, SQL, and machine learning libraries like scikit-learn or TensorFlow is typically expected. Strong problem-solving skills, curiosity, and effective communication set standout candidates apart in this role. These skills and qualities are crucial for extracting insights from data, collaborating with diverse teams, and contributing meaningful solutions to real-world problems.

What types of projects and tasks can I expect to work on as a Data Scientist Intern?

As a Data Scientist Intern, you can expect to work on a variety of data-driven projects such as cleaning and analyzing datasets, building predictive models, and generating data visualizations to support business decisions. You'll often collaborate with other data scientists, engineers, and business teams to tackle real-world problems and may be asked to present your findings to stakeholders. These experiences are designed to help you develop technical skills, gain exposure to industry tools and methodologies, and understand how data science contributes to organizational goals.

What are Data Scientist Interns?

Data Scientist Interns are individuals, often students or recent graduates, who work temporarily in organizations to gain practical experience in data science. Their main responsibilities include collecting, cleaning, analyzing, and visualizing data under the guidance of experienced data scientists. Interns may also assist in building machine learning models, generating reports, and presenting insights to help solve real business problems. The internship provides valuable hands-on experience and helps interns develop technical and analytical skills necessary for a full-time data science role.

What is the difference between Data Scientist Intern vs Data Analyst Intern?

AspectData Scientist InternData Analyst Intern
Required CredentialsTypically pursuing or holding a degree in Data Science, Computer Science, or related fieldsUsually pursuing or holding a degree in Statistics, Mathematics, or related fields
Work EnvironmentInvolves building predictive models, machine learning, and advanced analyticsFocuses on data cleaning, reporting, and descriptive analytics
Employer & Industry UsageUsed in tech, finance, healthcare, and large enterprises for complex data projectsCommon in retail, marketing, and business intelligence roles across industries

While both roles involve working with data, a Data Scientist Intern typically engages in advanced analytics and machine learning projects, whereas a Data Analyst Intern focuses on data reporting and descriptive analysis. The roles differ mainly in complexity and technical skills required, but both serve as entry points into data-driven careers.

What are the most commonly searched types of Data Scientist jobs in Riverside, CA? The most popular types of Data Scientist jobs in Riverside, CA are:
What cities near Riverside, CA are hiring for Data Scientist Intern jobs? Cities near Riverside, CA with the most Data Scientist Intern job openings:
Data Scientist Intern jobs near you
Infographic showing various Data Scientist Intern job openings in Riverside, CA as of June 2026, with employment types broken down into 7% As Needed, 14% Full Time, and 79% Part Time. Highlights an 94% Physical, 3% Hybrid, and 3% Remote job distribution, with an average salary of $172,158 per year, or $82.8 per hour.
3D Data Scientist # 26-13411

3D Data Scientist # 26-13411

US Tech Solutions

Irvine, CA

Other

Posted 4 days ago

Job description


Duration: 12 Months Contract
Schedule: Hybrid
Role Summary
  • We are seeking a highly skilled and intellectually curious 3D Data Scientist to join our growing Digital Endpoints team at the intersection of computational science, facial aesthetics, and cutting-edge 3D capture technology. This is a pioneering role: you will be among the first members of the team to operationalize 3D data science capabilities, building on a strong foundation of over 100 validated digital endpoints already developed for 2D images and video.
  • In this role, you will lead the validation of a state-of-the-art 3D capture system, architect robust validation pipelines using photogrammetry-rendered 3D imagery, and collaborate cross-functionally to define and develop the next generation of 3D digital endpoints in the facial region for aesthetics applications. You will sit at the convergence of machine learning, 3D rendering, and scientific rigor — and your work will directly shape how aesthetic outcomes are measured, quantified, and communicated in clinical and commercial settings.
  • This role is equal parts scientist and builder. You must move fluidly between data science workflows and 3D rendering environments, think with both precision and product-mindedness, and bring a strong bias toward innovation without sacrificing scientific integrity.
Key Responsibilities
3D Capture Validation
  • Lead the end-to-end validation of a 3D facial capture system, establishing technical benchmarks for accuracy, repeatability, and clinical relevance.
  • Design and execute structured validation pipelines using 3D rendered photogrammetry images to evaluate system capabilities across diverse subject populations and capture conditions.
  • Develop quantitative test protocols and statistical frameworks to assess 3D capture fidelity, geometric precision, and landmark reproducibility.
  • Document findings with scientific rigor and communicate validation outcomes to technical and non-technical stakeholders.
3D Digital Endpoint Development
  • Partner with the Digital Endpoints team to define, prototype, and scale a new suite of 3D digital endpoints for facial aesthetics applications, extending the team's existing library of 100+ 2D endpoints.
  • Translate 3D capture capabilities and mesh data into clinically meaningful, computable biomarkers and outcome measures.
  • Drive hypothesis generation and experimental design for Client 3D endpoints, balancing scientific validity with practical scalability.
  • Establish best practices for 3D data preprocessing, surface reconstruction quality control, and feature extraction pipelines.
Machine Learning & Modeling
  • Build and evaluate machine learning models (supervised, self-supervised, and geometric deep learning) applied to 3D facial meshes, point clouds, and photogrammetry assets.
  • Design experiments to benchmark model performance, generalizability, and robustness across capture systems and patient demographics.
  • Iterate rapidly on model architecture and training strategies in close collaboration with engineering and science teams.
Cross-Functional Collaboration & Innovation
  • Serve as the technical bridge between the data science team and 3D rendering/capture specialists, translating requirements bidirectionally with clarity and precision.
  • Collaborate with clinical scientists, product managers, and regulatory stakeholders to ensure endpoints are fit-for-purpose in aesthetic clinical trials and commercial applications.
  • Champion a culture of experimentation, reproducibility, and continuous improvement across 3D data science workflows.
  • Stay ahead of the curve on emerging tools, techniques, and literature in 3D computer vision, neural rendering, and digital biomarkers.
Required Qualifications
  • Bachelor's degree or higher in Computer Science, Data Science, Computational Biology, Biomedical Engineering, Computer Vision, or a closely related quantitative field (Master's or PhD strongly preferred).
  • 3+ years of hands-on experience in data science or machine learning roles, with a demonstrated track record of delivering production-quality work.
  • Strong proficiency in Python and standard data science libraries (NumPy, SciPy, Pandas, scikit-learn, PyTorch or TensorFlow).
  • Demonstrable experience working with 3D data formats — including meshes, point clouds, depth maps, or photogrammetry outputs — in a research or applied context.
  • Deep familiarity with at least one professional 3D rendering or modeling platform such as Blender, Autodesk Maya, or equivalent.
  • Proven ability to design and execute rigorous validation or benchmarking studies with a statistical foundation.
  • Strong written and verbal communication skills, with the ability to present complex technical findings to diverse audiences.
  • Comfortable operating in ambiguous, fast-moving environments with a high degree of autonomy and ownership.
Preferred Qualifications
  • Experience in the aesthetics, dermatology, medical imaging, or clinical digital health domain.
  • Familiarity with photogrammetry pipelines and tools (e.g., RealityCapture, Agisoft Metashape, or similar).
  • Exposure to geometric deep learning frameworks (e.g., PyTorch Geometric, Open3D, trimesh).
  • Experience developing digital endpoints, biomarkers, or outcome measures in a regulated or clinical context.
  • Knowledge of 3D facial landmarking, surface parameterization, or shape analysis methods.
  • Experience contributing to or leading cross-functional research and development projects in an industry setting.
  • Familiarity with version control, MLOps principles, and reproducible research practices (Git, DVC, MLflow, or equivalent).
Technical Skills:
  • Programming: Python (primary), R (secondary), SQL
  • Machine Learning: PyTorch, TensorFlow, scikit-learn, Geometric Deep Learning
  • 3D Rendering & Modeling: Blender, Autodesk Maya, RealityCapture, Agisoft Metashape
  • 3D Data Processing: Open3D, trimesh, PyMeshLab, PCL (Point Cloud Library), Point Cloud & Mesh Workflows
  • Photogrammetry: 3D Mesh Reconstruction, UV Mapping, Texture Baking, Depth Maps
  • Validation & Statistics: A/B Testing, Intraclass Correlation Coefficient (ICC), Bland-Altman Analysis, Bootstrap Methods
  • Data Infrastructure: Git, DVC (Data Version Control), MLflow, Cloud Platforms (AWS, GCP, Azure)
  • Visualization: Matplotlib, Plotly, ParaView, 3D Scene Rendering Pipelines
About US Tech Solutions:
US Tech Solutions is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions. To know more about US Tech Solutions, please visit www.ustechsolutions.com.
US Tech Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
AI Statement:
By applying, you acknowledge that AI-assisted tools may be used during hiring
 


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About US Tech Solutions

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US Tech Solutions is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions.

Industry

It services

Company size

1,001 - 5,000 Employees

Headquarters location

Jersey City, NJ, US

Year founded

2000

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