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Internship Data Science Economics Jobs in California

Hayden AI

Associate Data Scientist

San Francisco, CA · On-site

$120K - $156K/yr

Master's in Data Science, Statistics, Computer Science, Economics, Transportation Engineering, or a related field. * 6+ months of Data Science related work, projects or internships. * Strong SQL ...

Hayden AI

Associate Data Scientist

San Francisco, CA

$69K - $70K/yr

Master's in Data Science, Statistics, Computer Science, Economics, Transportation Engineering, or a related field. * 6+ months of Data Science related work, projects or internships. * Strong SQL ...

DEUNA

Data Science intern

San Francisco, CA · On-site

During the internship, you will support the Data team by analyzing data, building models ... Economics * Physics * Or a related quantitative field. We may use artificial intelligence (AI ...

DEUNA

Data Science intern

San Francisco, CA

During the internship, you will support the Data team by analyzing data, building models ... Economics * Physics * Or a related quantitative field. We may use artificial intelligence (AI ...

Faire

Data Science Intern

San Francisco, CA · On-site

$75/hr

Data Science Internship - Fall 2026 Faire leverages machine learning and data insights to transform ... Econometrics, or a related technical discipline. Beyond that, we're looking for team-specific ...

Roblox

Senior Data Scientist - Discovery

San Mateo, CA · On-site

You aren't just building models; you are building the economic and social frameworks that decide which experiences thrive. You will report directly to the Senior Director of Data Science and serve as ...

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All JobsData Science Economics JobsInternship Data Science Economics JobsInternship Data Science Economics Jobs in California

Internship Data Science Economics information

What is an internship in data science economics?

An Internship in Data Science Economics is a temporary position that allows students or recent graduates to gain practical experience applying data science techniques to economic problems. Interns typically work on projects involving data analysis, statistical modeling, and economic research, often using programming languages like Python or R. The role helps bridge the gap between academic knowledge and real-world applications, providing valuable skills for a future career in data science or economics.

What types of projects do interns typically work on in a data science economics internship?

Interns in Data Science Economics roles often work on projects involving data analysis, economic modeling, and statistical research to support business decision-making. These projects may include analyzing large datasets to identify economic trends, building predictive models, and creating visualizations to communicate insights. Interns usually collaborate closely with both data scientists and economists, gaining exposure to real-world applications of economic theories and data-driven problem-solving. This hands-on experience helps interns develop technical and analytical skills while contributing meaningful work to the team.

What are the key skills and qualifications needed to thrive as an internship data science economics, and why are they important?

To thrive as an Internship Data Science Economics, you need a solid background in statistics, econometrics, and programming languages like Python or R, typically supported by progress toward a degree in economics, data science, or a related field. Familiarity with data analysis tools such as SQL, statistical software, and visualization platforms like Tableau is often required. Strong analytical thinking, effective communication, and the ability to collaborate in team environments help interns excel in this role. These skills are crucial for interpreting economic data, delivering actionable insights, and supporting informed decision-making within organizations.

What is the difference between Internship Data Science Economics vs Data Analyst Intern?

AspectInternship Data Science EconomicsData Analyst Intern
Required SkillsStatistics, economics, programming (Python/R), data analysisData analysis, Excel, SQL, visualization tools
Work EnvironmentResearch-focused, economic modeling, data interpretationBusiness insights, reporting, dashboard creation
Industry UsageFinance, consulting, government, research institutionsMarketing, finance, tech companies

Internship Data Science Economics typically involves economic modeling, statistical analysis, and programming skills, often in research or policy environments. Data Analyst Internships focus on interpreting data to generate business insights, using tools like Excel and SQL. Both roles require analytical skills but differ in focus and industry applications.

What are popular job titles related to Internship Data Science Economics jobs in California?

For Internship Data Science Economics jobs in California, the most frequently searched job titles are:

What job categories do people searching Internship Data Science Economics jobs in California look for?

The top searched job categories for Internship Data Science Economics jobs in California are:

What cities in California are hiring for Internship Data Science Economics jobs?

Cities in California with the most Internship Data Science Economics job openings:

Internship Data Science Economics jobs near you
Infographic showing various Internship Data Science Economics job openings in California as of August 2026, with employment types broken down into 27% Internship, and 73% Full Time. Highlights an 100% In-person job distribution.

Applied Science / Data Science Leader

San Francisco, CA

Attentive
See more jobs at Attentiveexternal

$320K - $380K/yr

Full-time

Re-posted 23 days ago

Job description

About the Role

Our Applied Science / Data Science team is a world-class organization focused on using data, experimentation, machine learning, and AI to shape product strategy and accelerate business growth. We partner closely with Product, Engineering, Marketing, Sales, and Customer Success to build intelligent products, optimize customer experiences, and drive measurable business impact.

This will be a leadership role overseeing our applied science / data science team and you will lead a team of high-performing data scientists responsible for solving some of the company's most strategic product and business challenges. You will define the vision for applied data science across multiple product areas, develop innovative analytical and machine learning solutions, and partner with senior leaders to influence company strategy. This is a highly visible leadership role that blends people management, technical excellence, and cross-functional influence.

What You'll Accomplish

  • Lead, mentor, and grow a team of Applied Scientists / Data Scientists, fostering technical excellence and career development
  • Define and execute the applied data science roadmap in partnership with Product, Engineering, and executive stakeholders
  • Drive the development of statistical models, machine learning solutions, experimentation frameworks, and causal inference methodologies to improve product performance and customer outcomes
  • Establish best practices for experimentation, measurement, forecasting, and decision-making across the organization
  • Translate ambiguous business problems into scalable analytical and machine learning solutions
  • Influence product strategy by identifying opportunities through deep analysis of customer behavior, experimentation, and business performance
  • Partner closely with engineering teams to operationalize models and deploy production-ready solutions
  • Present insights and recommendations to senior leadership and executive stakeholders to influence strategic decisions
  • Build a culture of scientific rigor, operational excellence, and continuous innovation across the data science organization

Your Expertise

  • Master's or Ph.D. in Statistics, Computer Science, Economics, Operations Research, Mathematics, Machine Learning, or a related quantitative field; Bachelor's degree with equivalent industry experience also considered
  • 8+ years of experience in Data Science, Machine Learning, Analytics, or related disciplines
  • 3+ years of experience managing and developing high-performing data science teams
  • Deep expertise in experimentation, causal inference, statistical modeling, predictive modeling, and machine learning
  • Experience partnering closely with Product and Engineering organizations to deliver data-driven product improvements
  • Strong proficiency in Python and SQL with experience working on large-scale datasets
  • Excellent communication skills with the ability to influence executive stakeholders through data-driven storytelling
  • Demonstrated success leading cross-functional initiatives from ideation through production

You'll get competitive perks and benefits, from health & wellness to equity, to help you bring your best self to work.

For US based applicants:

  • The US base salary range for this full-time position is $320,000 - $380,000 annually + equity + benefits
  • Our salary ranges are determined by role, level and location

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