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Data Science Intern Jobs in Encinitas, CA (NOW HIRING)

Waymo

Staff Data Scientist

San Diego, CA

In this hybrid role you will report to a Data Science Lead. You will: * Lead a roadmap to develop methodologies and Key Performance Indicators to measure the quality, cost efficiency, and business ...

Intuit

Staff Data Scientist

San Diego, CA · On-site

$194K - $262K/yr

The Data Science team plays a critical role in shaping strategy, scaling new businesses, and delivering delightful customer experiences. Our mission is to accelerate decision-making through advanced ...

Intuit

Staff Data Scientist

San Diego, CA

$194K - $262K/yr

The Data Science team plays a critical role in shaping strategy, scaling new businesses, and delivering delightful customer experiences. Our mission is to accelerate decision-making through advanced ...

Socket.dev

Principal Data Scientist

San Diego, CA · On-site

$160 - $182/hr

PhD in Data Science, Machine Learning, Applied Math or equivalent field. * 8+ years of experience of data/applied scientist role or equivalent in disease-related field, (cancer preferred). * Expert ...

Waymo

Staff Data Scientist, Weather

San Diego, CA

In this hybrid role you will report to the Data Science Lead for Driving Quality & Scope Expansion. You will: * Define and uphold a high bar for measurement rigor. Ensure we can confidently rely on ...

THOR Solutions, LLC

Data Scientist (Navy)

San Diego, CA · On-site

$105K - $130K/yr

Master's degree in a relevant field such as operations research, data science, applied mathematics or statistics, business management, or human resources management. * At least seven (7) years of ...

New

CPMC LLC

Data Scientist

San Diego, CA · On-site

CPMC, LLC is seeking talented Data Scientists to join our team for an active government contract ... Associate's degree in math, science, engineering, or a related field. * Minimum of 1 year of ...

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All JobsData Science Intern JobsData Science Intern Jobs in Encinitas, CA

Data Science Intern information

See Encinitas, CA salary details

$12

$24

$45

How much do data science intern jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for data science intern in Encinitas, CA is $24.17, according to ZipRecruiter salary data. Most workers in this role earn between $18.61 and $26.35 per hour, depending on experience, location, and employer.

What does a data science intern do?

A Data Science Intern typically assists with collecting, cleaning, and analyzing data to support business decisions or research. They work under the supervision of experienced data scientists, helping to build and test predictive models, create data visualizations, and present findings. Interns often use programming languages such as Python or R, and tools like SQL, to manipulate data. The role is designed to provide hands-on experience with real-world data science projects and help interns develop technical and analytical skills.

What types of projects can I expect to work on as a data science intern, and how will I collaborate with other team members?

As a Data Science Intern, you can expect to work on a variety of projects such as data cleaning, exploratory data analysis, building predictive models, or assisting with data visualization tasks. You'll often collaborate closely with data scientists, engineers, and sometimes business analysts, participating in team meetings and brainstorming sessions. Interns are usually given clearly defined tasks that contribute to larger projects, allowing you to learn from experienced professionals while making a meaningful impact. Regular check-ins and mentorship are typical, providing you with feedback and professional growth opportunities throughout your internship.

What are the key skills and qualifications needed to thrive as a data science intern, and why are they important?

To thrive as a Data Science Intern, you need a solid grasp of statistics, data analysis, and programming (often in Python or R), typically supported by coursework in computer science, mathematics, or a related field. Familiarity with data visualization tools (like Tableau), machine learning libraries (such as scikit-learn or TensorFlow), and version control systems (like Git) is commonly expected. Strong problem-solving abilities, communication skills, and a willingness to learn help interns collaborate effectively and translate data insights for diverse audiences. These skills and qualities ensure that interns can contribute meaningfully to projects, adapt quickly, and bridge the gap between raw data and actionable business solutions.

Can I get an internship in data science?

Yes, data science internships are available for students and recent graduates interested in gaining practical experience with skills like programming, statistics, and data analysis using tools such as Python or R. Applicants typically need a background in related fields and may be required to complete technical assessments or projects during the application process.

What are the most commonly searched types of Data Science jobs in Encinitas, CA?

The most popular types of Data Science jobs in Encinitas, CA are:

What job categories do people searching Data Science Intern jobs in Encinitas, CA look for?

The top searched job categories for Data Science Intern jobs in Encinitas, CA are:

What cities near Encinitas, CA are hiring for Data Science Intern jobs?

Cities near Encinitas, CA with the most Data Science Intern job openings:

Data Science Intern jobs near you
Infographic showing various Data Science Intern job openings in Encinitas, CA as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 16% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $50,277 per year, or $24.2 per hour.

Staff Data Scientist

Waymo

San Diego, CA

Full-time

Re-posted 23 days ago

Job description

Rigorous behavioral evaluation of the Waymo Driver is a critical part of scaling our ride hailing service and achieving Waymo's ambitious goals. In this role, you will lead key initiatives for measuring the quality and trustworthiness of the behavior evaluation portfolio at Waymo, continuously identify and drive opportunities for improving the evaluation and testing methodologies, and partner closely with product and engineering teams to develop scalable solutions for monitoring and enhancing the health of the evaluation ecosystem. You will play a key role to ensure the behavior evaluation at Waymo is efficient, scientifically rigorous, and supporting Waymo's growth priorities.

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

You will:

  • Lead a roadmap to develop methodologies and Key Performance Indicators to measure the quality, cost efficiency, and business relevance for various behavior evaluation solutions at Waymo.

  • Directly influence the portfolio of evaluation signals relied on by hundreds of software engineers to ensure their changes in the Waymo Driver are having positive intended impacts. 

  • Conduct deep dive analysis to understand performance bottlenecks in current evaluation methodologies, propose and prototype improvements in metrics, sampling strategy, statistical inference, etc.

  • Become an expert in Waymo's evaluation ecosystem for onboard software. Understand how a broad variety of  evaluation signals affect Waymo's launch decisions, develop strategies for evaluating trade-offs, and provide actionable insights for designing launch criteria.

  • Collaborate with product and engineering teams to build solutions for assessing Waymo's evaluation portfolio at scale and accelerate the development for new evaluation. 

  • Collaborate with owners of various evaluation solutions, develop feedback loops to surface insights on evaluation quality to stakeholders and drive actionable plans for continuous improvement.

You have:

  • Degree in a quantitative field (e.g. Statistics, Mathematics, Physics)

  • Either a PhD in a quantitative field and 5+ years of industry experience, or 7+ years of industry experience solving data science problems

  • Solid statistical background. Expertise using advanced statistical methods in an applied setting (e.g., experimentation design, causal inference, etc); familiarity with ML systems/models

  • Demonstrated knowledge of data analysis libraries and packages in Python, R, and/or SQL

  • Strong communication/leadership to address a high surface area across different organizations and products

  • Ability to navigate through ambiguous business requirements and propose a clear technical solution

We prefer:

  • PhD in a quantitative field

  • Experience developing production-grade software and tools

  • Experience as the technical lead for a broad data science area. A demonstrated track record of independently driving data science projects to deliver business value

  • Experience with large-scale evaluation frameworks or experimentation/data platform for software development and machine learning systems

  • Experience solving problems related to Autonomous Driving or Ride Hailing

Apply