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Phd Library Science Jobs (NOW HIRING)

Waymo

Data Scientist

San Diego, CA · On-site

Autonomous driving presents a new paradigm in data science: in addition to leveraging data ... Demonstrated knowledge of Python/SQL/R data analysis libraries and packages We prefer: * PhD in a ...

Aequor

Associate Scientist

South San Francisco, CA

Prior NGS library preparation experience is strongly preferred. Experience operating sequencing ... PhD candidates are generally not preferred due to potential overqualification concerns.Description:

Roberts Recruiting

Data Scientist

Cambridge, MA · On-site

PhD or Masters in Data Science, Computer Science, Engineering, Physics, Mathematics or other ... libraries. * Possess strong analytical and problem solving skills. * Willingness to work hard and ...

Waymo

Senior Data Scientist

San Diego, CA

Demonstrated knowledge of Python/SQL/R data analysis libraries and packages We prefer: * PhD in a quantitative field * A demonstrated track record of independently driving data science projects to ...

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How much do phd library science jobs pay per hour?

As of Jun 12, 2026, the average hourly pay for phd library science in the United States is $15.74, according to ZipRecruiter salary data. Most workers in this role earn between $11.78 and $17.55 per hour, depending on experience, location, and employer.
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Infographic showing various Phd Library Science job openings in the United States as of June 2026, with employment types broken down into 92% Full Time, 6% Part Time, 1% Contract, and 1% Nights. Highlights an 90% Physical, 4% Hybrid, and 6% Remote job distribution, with an average salary of $32,732 per year, or $15.7 per hour.
Data Scientist

Data Scientist

Waymo

San Diego, CA • On-site

Other

Posted 15 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

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