ZipRecruiter

Log In

2

Remote Data Analytics Instructor Jobs in Santa Clara, CA

Waymo

Data Scientist

Mountain View, CA · On-site +1

$170K - $216K/yr

Demonstrated knowledge of Python/SQL/R data analysis libraries and packages We prefer: * PhD in a ... remote, the specific salary range for your preferred location, during the hiring process. Waymo ...

Match Point Solutions

Data Scientist

Pleasanton, CA · Remote

$75 - $80/hr

Remote Rate: $75-$80/hr on W2 Key points: Developing computer vision models that improve ... Applies data science, machine learning and other analytical modeling methods to develop defensible ...

EnthuZiastic

Growth Hacker - Remote

San Jose, CA · Remote

Data Analysis: * Collect and analyze data to gain insights into user behaviour, product usage, and marketing performance. * Use data-driven decisions to guide growth strategies and experiments. Viral ...

Waymo

Senior Data Scientist

Mountain View, CA · On-site +1

$204K - $259K/yr

Demonstrated knowledge of Python/SQL/R data analysis libraries and packages We prefer: * PhD in a ... remote, the specific salary range for your preferred location, during the hiring process. Waymo ...

Tailored Brands

Sr Store Analytics Manager

Dublin, CA · On-site +1

... data and external datasets-including mobility, consumer spend, demographic, and competitive ... from a remote office location Benefits This role is eligible for healthcare including medical ...

previous page

Showing results 41-60

All JobsData Analytics Instructor JobsRemote Data Analytics Instructor JobsRemote Data Analytics Instructor Jobs in Santa Clara, CA

Remote Data Analytics Instructor information

See Santa Clara, CA salary details

$28

$64

$110

How much do remote data analytics instructor jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for remote data analytics instructor in Santa Clara, CA is $64.30, according to ZipRecruiter salary data. Most workers in this role earn between $51.68 and $72.84 per hour, depending on experience, location, and employer.

What is the difference between Remote Data Analytics Instructor vs Remote Data Analyst?

AspectRemote Data Analytics InstructorRemote Data Analyst
Required CredentialsTypically a degree in data science, analytics, or related field; teaching certifications are a plusDegree in data science, statistics, or related field; often requires proficiency in analytics tools
Work EnvironmentOnline teaching platforms, educational institutions, corporate trainingRemote offices, companies, or consulting firms
Employer & Industry UsageEducational institutions, online course providers, corporate training programsBusinesses across industries, consulting firms, finance, healthcare, tech

While both roles involve data skills, a Remote Data Analytics Instructor focuses on teaching and curriculum development in educational settings, whereas a Remote Data Analyst applies data analysis techniques directly to business problems. The roles share similar credentials but differ mainly in their primary responsibilities and work environments.

What are the key skills and qualifications needed to thrive as a remote data analytics instructor?

To thrive as a Remote Data Analytics Instructor, you need a strong background in data analytics, statistics, and teaching, usually demonstrated by a relevant degree and industry experience. Familiarity with data analysis tools such as Excel, SQL, Python, R, and learning management systems (LMS) is essential, along with certifications like Tableau or Google Data Analytics. Excellent communication, patience, and the ability to engage and motivate remote learners are valuable soft skills in this role. These skills ensure effective instruction, student engagement, and successful learning outcomes in a virtual environment.

What are some common challenges faced by remote data analytics instructors, and how can they be effectively managed?

Remote Data Analytics Instructors often encounter challenges such as maintaining student engagement in a virtual setting, addressing diverse learning paces, and ensuring clear communication despite not being physically present. To manage these, instructors can leverage interactive teaching tools, schedule regular check-ins, and provide a variety of learning resources to accommodate different student needs. Building a supportive online community and encouraging active participation also help foster a collaborative and effective learning environment.

What does a remote data analytics instructor do?

A Remote Data Analytics Instructor teaches students data analysis concepts and tools through online platforms. They develop and deliver course materials, lead live or recorded lessons, and provide feedback on assignments. Instructors often cover topics like data visualization, statistical analysis, and using software such as Excel, Python, or SQL. Their goal is to help students gain practical skills for analyzing and interpreting data in real-world scenarios.
What are popular job titles related to Remote Data Analytics Instructor jobs in Santa Clara, CA? For Remote Data Analytics Instructor jobs in Santa Clara, CA, the most frequently searched job titles are:
What job categories do people searching Remote Data Analytics Instructor jobs in Santa Clara, CA look for? The top searched job categories for Remote Data Analytics Instructor jobs in Santa Clara, CA are:
What cities near Santa Clara, CA are hiring for Remote Data Analytics Instructor jobs? Cities near Santa Clara, CA with the most Remote Data Analytics Instructor job openings:
Remote Data Analytics Instructor jobs near you
Infographic showing various Remote Data Analytics Instructor job openings in Santa Clara, CA as of June 2026, with employment types broken down into 6% Internship, 53% Full Time, 35% Part Time, and 6% Contract. Highlights an 100% Remote job distribution, with an average salary of $133,737 per year, or $64.3 per hour.

Data Scientist

Waymo

Mountain View, CA • On-site, Remote

$170K - $216K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Waymo is an autonomous driving technology company with the mission to be the world\'s most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World\'s Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.

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

The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. 

Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. 

Salary Range$170,000—$216,000 USD

Apply