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Data Science Phd Jobs in California (NOW HIRING)

Statistics, Mathematics, Physics) * 3+ years of industry experience solving data science problems or a PhD in a quantitative field * Expertise using advanced statistical methods in an applied setting ...

... PhD in data science, statistics, physics, mathematics, bioinformatics, computer science, or a related quantitative field. Company : Swayable is a creative testing platform that measures persuasion.

Senior Data Scientist Senior Data Scientists on our team partner with product managers, SMEs and ... PhD or Masters in a quantitative discipline: Computer Science, Statistics, Applied Mathematics ...

And because it's Visa, our data scientists have access to a treasure trove of structured and un ... Masters, MBA, JD, MD) or 2 years of work experience with a PhD, OR 11+ years of relevant work ...

Currently pursuing a Bachelor's, Master's, or PhD in Computer Science, Statistics, Mathematics, Data Science, or a related quantitative field. * Programming: Solid foundation in Python and ...

Statistics, Mathematics, Physics) * 5+ years of industry experience solving data science problems, or a PhD in a quantitative field and 3+ years of industry experience * Expertise using advanced ...

Create analyses that tell compelling stories and inspire action We're looking for someone with * 5+ years of data science experience with a track record of thought leadership and innovation * A PhD ...

Senior Data Scientist Senior Data Scientists on our team partner with product managers, SMEs and ... PhD or Masters in a quantitative discipline: Computer Science, Statistics, Applied Mathematics ...

$87K - $116K/yr

Work in various areas related to your educational background and interests. BS/MS - Electrical Engineering, Computer Engineering, Computer Science PhD - Varied S&E fields including Cyber S&T, Data ...

Senior Data Scientist Senior Data Scientists on our team partner with product managers, SMEs and ... PhD or Masters in a quantitative discipline: Computer Science, Statistics, Applied Mathematics ...

Required : • 5+ years of data science experience with a track record of thought leadership and innovation • A PhD or MS in a quantitative field (e.g., Engineering, Mathematics, Natural Sciences ...

New Professional (NIWC Pacific - FY26)

San Diego, CA · On-site

$87K - $116K/yr

Work in various areas related to your educational background and interests. BS/MS - Electrical Engineering, Computer Engineering, Computer Science PhD - Varied S&E fields including Cyber S&T, Data ...

Required : • 5+ years of data science experience with a track record of thought leadership and innovation • A PhD or MS in a quantitative field (e.g., Engineering, Mathematics, Natural Sciences ...

Advanced degree (MS or PhD) in a quantitative field such as Computer Science, Statistics, Mathematics, Economics, or related discipline * 8 years of experience in data science, machine learning, or ...

Advanced degree (MS or PhD) in a quantitative field such as Computer Science, Statistics, Mathematics, Economics, or related discipline * 8 years of experience in data science, machine learning, or ...

Showing results 21-40

Data Science Phd information

What are the key skills and qualifications needed to thrive as a data science PhD?

To thrive as a Data Science PhD, you need advanced expertise in statistics, machine learning, data analysis, and a doctoral degree in a quantitative field. Proficiency in programming languages like Python or R, experience with big data frameworks (e.g., Spark, Hadoop), and familiarity with data visualization tools are typically required. Critical thinking, problem-solving, and strong communication skills help you translate complex data insights for diverse stakeholders. These skills are vital for driving innovative research, making data-driven decisions, and contributing impactful solutions in data-centric environments.

What are some common challenges faced by data science PhDs when transitioning from academia to industry roles?

Data Science PhDs often encounter challenges such as adapting to the faster pace and collaborative nature of industry projects compared to academic research. In industry, there is a greater emphasis on delivering practical solutions within tight deadlines and working closely with cross-functional teams like engineering and product management. Additionally, data science work in industry may require balancing technical rigor with business impact, often prioritizing actionable insights over exhaustive analysis. Building strong communication and stakeholder management skills can help ease this transition.

What is a data science PhD?

A Data Science PhD is a doctoral-level degree focused on advanced research in data science, which combines elements of statistics, computer science, and domain expertise. Students in a Data Science PhD program typically work on developing new methods for analyzing large datasets, creating machine learning algorithms, and addressing complex problems in areas such as artificial intelligence, data mining, and predictive analytics. Graduates are prepared for careers in academia, research, and industry, where they can lead data-driven projects and contribute to advancements in the field.

What cities in California are hiring for Data Science Phd jobs?

Cities in California with the most Data Science Phd job openings:

Infographic showing various Data Science Phd job openings in California as of August 2026, with employment types broken down into 10% Internship, and 90% Full Time. Highlights an 100% In-person job distribution.

Full-time

Re-posted 18 days ago


Job description

Rigorous performance evaluation of the Waymo Driver is a critical part of scaling our ride hailing service and achieving Waymo's audacious goals. Waymo data scientists work hand-in-hand with engineering teams at each stage of the software development cycle, employing statistical models and developing metrics and measurement frameworks to ensure that the Waymo Driver meets our strict standards for safety, compliance, and driving and service quality. Autonomous driving presents a new paradigm in data science: in addition to leveraging data collected on-road, we generate our own data using state-of-the-art simulation technology-resulting in denser signals and challenging new problems in estimation and experimental design.

In this hybrid role you will report to a Data Science Manager.

You will:

  • Develop evaluation frameworks for autonomous vehicle performance, for large-scale ML models, and for the quality of simulation.
  • Develop new metrics, interpret trends, and investigate anomalies in data from simulation and on-road driving.
  • Develop novel statistical methods to handle unique aspects of AV data; e.g. rate estimation with rare events, combining real and synthetic data, etc.
  • Frame and solve ambiguous problems, derive data-driven conclusions, and communicate findings to senior stakeholders.
  • Collaborate with Product and Engineering partners developing the Waymo Driver and Waymo's simulation software; facilitate deployment readiness decisions for both products.

You have:

  • Degree in a quantitative field (e.g. Statistics, Mathematics, Physics)
  • 3+ years of industry experience solving data science problems or a PhD in a quantitative field
  • Expertise using advanced statistical methods in an applied setting; familiarity with ML systems/models
  • Demonstrated knowledge of Python/SQL/R data analysis libraries and packages

We prefer:

  • PhD in a quantitative field
  • Experience solving problems related to Autonomous Driving or Ride Hailing
  • Experience in adjacent relevant areas like Advanced Machine Learning (Deep Learning and Diffusion models), Traffic Modeling, Safety Evaluation or Prediction