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Data Science New Grad Jobs in California (NOW HIRING)

Adidev Technologies Inc

Data Science

San Francisco, CA · On-site

If you are looking for a new challenge and are ready to make an impact on a growing team, then this will be a perfect fit. As a Data Scientist/Data Science Specialist for Adidev Technologies Inc ...

Adidev Technologies Inc

Data Science

San Francisco, CA · Remote

If you are looking for a new challenge and are ready to make an impact on a growing team, then this will be a perfect fit. As a Data Scientist/Data Science Specialist for Adidev Technologies Inc ...

PROPRIUS

Director Data Science

San Francisco, CA

As the new leader of this department it is imperative that you bring disruptive ideas, creative mindsets and hire top-notch technical talent. The head of this new Data Science division will be ...

LLNL

Data Science Engineer

Livermore, CA · On-site

$134K - $161K/yr

Discover and pioneer new approaches to data science problems, pushing the boundaries of current methodologies, and transforming ideas from concepts to operational solutions. * Present technical work ...

Tapestry

Data Science Manager

Mountain View, CA · On-site

K., Chile, New Zealand, Australia, and Brazil as they work toward a cleaner, more resilient energy ... Data Scientists work across the organization to help shape our business and technical strategies by ...

AppLovin

Backend Engineer, New Grad

Palo Alto, CA · On-site

As a Backend Engineer, New Grad, you will be solving technical challenges and developing large ... science fundamentals including data structures, algorithms, and coding • Professional experience ...

LLNL

Data Science Engineer

Livermore, CA

$134K - $161K/yr

Discover and pioneer new approaches to data science problems, pushing the boundaries of current methodologies, and transforming ideas from concepts to operational solutions. * Present technical work ...

LLNL

Data Science Engineer

Livermore, CA · On-site

$9.7K/wk

Discover and pioneer new approaches to data science problems, pushing the boundaries of current methodologies, and transforming ideas from concepts to operational solutions. * Present technical work ...

Tatari

Data Science Manager

Los Angeles, CA

$160K - $220K/yr

Empower the team to innovate and explore new methodologies and improve upon existing algorithms ... Own Data Science prioritization for AI/ML outcomes, allocate resources and manage workload * Drive ...

1 point system

Data Science Engineer

Century City, CA · On-site

Must have excellent communication Summary The Data Scientist is a member of a highly motivated Tech ... The work they are doing is a data conversion project where one team is building a new financial ...

Tatari

Data Science Manager

Los Angeles, CA · On-site

$160K - $220K/yr

Empower the team to innovate and explore new methodologies and improve upon existing algorithms ... Own Data Science prioritization for AI/ML outcomes, allocate resources and manage workload * Drive ...

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Data Science New Grad information

What are Data Science New Grad roles?

Data Science New Grad roles are entry-level positions designed for recent graduates who have completed a degree in data science, computer science, statistics, or a related field. These roles typically involve working with data to analyze trends, build predictive models, and support business decision-making. New grads are expected to have foundational knowledge in programming, statistics, and machine learning, but are not required to have extensive work experience. These roles often offer mentorship and training to help new professionals grow their technical and analytical skills. Companies hire Data Science New Grads to bring fresh perspectives and to develop future data science talent.

What types of projects can a Data Science New Grad expect to work on during their first year?

As a Data Science New Grad, you can expect to work on a variety of projects such as cleaning and preprocessing data, developing predictive models, and assisting with data visualization and reporting. You may also collaborate closely with product managers, engineers, and senior data scientists to translate business problems into analytical solutions. Early projects often focus on building foundational skills and understanding the company’s data infrastructure, while gradually increasing in complexity as you gain experience. This hands-on exposure is designed to help you grow technically and understand how data science supports organizational goals.

What are the key skills and qualifications needed to thrive as a Data Science New Grad, and why are they important?

To thrive as a Data Science New Grad, you need a strong foundation in statistics, programming (typically Python or R), and data analysis, often supported by a degree in computer science, mathematics, or a related field. Familiarity with machine learning frameworks (such as TensorFlow or scikit-learn), data visualization tools, and SQL databases is highly valued. Strong problem-solving abilities, communication skills, and curiosity help new grads stand out when interpreting data and presenting insights. These competencies are crucial for transforming complex data into actionable business solutions and collaborating effectively within multidisciplinary teams.
What are popular job titles related to Data Science New Grad jobs in California? For Data Science New Grad jobs in California, the most frequently searched job titles are:
What job categories do people searching Data Science New Grad jobs in California look for? The top searched job categories for Data Science New Grad jobs in California are:
What cities in California are hiring for Data Science New Grad jobs? Cities in California with the most Data Science New Grad job openings:
Data Science New Grad jobs near you
Infographic showing various Data Science New Grad job openings in California as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.
Data Scientist, New Grad - Model Optimization

Data Scientist, New Grad - Model Optimization

quadric, Inc

Burlingame, CA • On-site

$120K - $160K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 24 days ago

Job description

Quadric has created an innovative general purpose neural processing unit (GPNPU) architecture. Quadric's co-optimized software and hardware is targeted to run neural network (NN) inference workloads in a wide variety of edge and endpoint devices, ranging from battery operated smart-sensor systems to high-performance automotive or autonomous vehicle systems. Unlike other NPUs or neural network accelerators in the industry today that can only accelerate a portion of a machine learning graph, the Quadric GPNPU executes both NN graph code and conventional C++ DSP and control code.
Role:
You will join the data science team in a full-time role focused on model optimization for Quadric's custom GPNPU architecture. You will own quantization work for production models, extend our quantization library, and build the numerical accuracy testing and debugging infrastructure that the team relies on day to day.
Responsibilities:
  • Develop and deploy quantization workflows for vision and language models, taking models from FP32 reference to deployable low-precision implementations that meet accuracy targets.
  • Investigate per-layer numerical error, identify accuracy regressions, and propose calibration, PTQ, or QAT strategies to recover lost accuracy.
  • Extend Quadric's quantization library with new operators, observers, and algorithms.
  • Build and maintain numerical accuracy testing infrastructure and debug tooling for neural networks running on the GPNPU.
  • Collaborate with graph compiler, kernel, and hardware teams to co-design solutions that exploit the GPNPU's numerical capabilities.

Requirements
  • B.S., M.S., or Ph.D. in CS, EE, Applied Math, or a related field, completed within the last year.
  • Strong Python skills and fluency with PyTorch (or TensorFlow), NumPy, and data-viz tools (Matplotlib/Plotly).
  • Solid machine learning foundations; working knowledge of CNNs and Transformers.
  • Interest in quantization, numerical representation, fixed-point arithmetic, or low-level performance.
  • Ability to read research papers, evaluate the core ideas, and reproduce key results.
  • Bonus: hands-on experience with quantization or model compression, or any of PyTorch FX/PTQ/QAT, TF-Lite, ONNX-Runtime, TVM, or MLIR Quant.
  • Bonus: experience with embedded systems, DSPs, GPUs, or other accelerators.
  • Bonus: published research, open-source contributions, or coursework projects in model optimization, efficient ML, or systems for ML.

Benefits
At Quadric, we value Integrity, Humility, and Happiness. What we expect from one another is simple and clear: Initiative, Collaboration, and Completion. We are a collaborative team focused on building something extraordinary in the edge computing space.
  • Competitive salary and meaningful equity
  • Medical, dental, and vision plan options starting on day one
  • 401(k) retirement plan
  • Flexible paid time off (unlimited, non-accrual) to support work-life balance
  • When working in-office, enjoy company-provided lunches and a stocked kitchen
  • Convenient office location within walking distance of the Caltrain station
  • Support for commuting, including monthly parking or Caltrain passes
  • Downtown Burlingame office location, close to shops, cafes, and local amenities
  • A politics-free, highly collaborative environment where talented people can do their best work and make an immediate impact
  • The opportunity to build long-term career relationships in a company that values strong personal connections alongside professional excellence

The base salary range for this position is $120,000 -$160,000. This range reflects the full span of levels and geographies at which Quadric hires for this role. The actual base salary offered will depend on a number of factors, including the specific level of the role, years and depth of relevant experience, technical skills and competencies, the criticality of the role to the business, internal equity, and work location. In addition to base salary, this role is eligible for equity and a discretionary annual performance bonus as applicable to the role and level.
Quadric also offers the generous benefits package outlined above and other programs designed to support your health and wellbeing.
Founded in 2016 and based in downtown Burlingame, California, Quadric is building the world's first supercomputer designed for the real-time needs of edge devices. Quadric aims to empower developers in every industry with superpowers to create tomorrow's technology, today. The company was co-founded by technologists from MIT and Carnegie Mellon, who were previously the technical co-founders of the Bitcoin computing company 21.
Quadric is proud to be an equal opportunity employer. We are committed to creating an inclusive environment where people from all backgrounds can do their best work. We consider all qualified applicants without regard to race, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, disability, veteran status, or any other protected characteristic under applicable law.
If this role resonates with you, we encourage you to apply even if your experience does not perfectly match every qualification. We value potential, curiosity, and a willingness to learn just as much as direct experience. Skills and growth come in many forms, and we would love to hear your story.
By submitting an application, you acknowledge that Quadric will collect and process your personal information as part of the hiring process. Please review our Privacy Policy to understand how we handle your data.
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About Quadric.io

Sourced by ZipRecruiter

Industry

Semiconductor and electronic component manufacturing

Company size

11 - 50 Employees

Headquarters location

Burlingame, CA, US

Year founded

2016

Social media

Twitter

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