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Phd In Econometrics Jobs in California (NOW HIRING)

Twitch

Data Scientist

San Francisco, CA · On-site

$157K - $212K/yr

OR a PhD in Economics, Statistics, Computer Science, or related quantitative field * Proficiency in SQL * Proficiency with Python or R * Strong foundation in experimentation and causal inference ...

Everpure

Director, GTM Economics & Science

Santa Clara, CA · On-site

$211K - $338K/yr

... econometrics into automated dashboards and reusable frameworks for continuous business planning. WHAT YOU BRING * PhD in Economics, Econometrics, or an equivalent quantitative discipline, such as ...

Hinge Health

Senior Heath Economist

San Francisco, CA · On-site

$120 - $150/hr

PhD in health economics , health services research, or a related field strongly preferred; Master\'s degree with exceptional applied experience considered * 6-10 years of experience designing and ...

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Phd In Econometrics information

What is a PhD in Econometrics?

A PhD in Econometrics is an advanced academic degree focused on the application of statistical and mathematical methods to economic data. It prepares students to conduct original research, develop new econometric models, and analyze complex economic problems using quantitative techniques. Graduates often pursue careers in academia, research institutions, government agencies, or the private sector, where advanced data analysis and economic modeling skills are in high demand.

What are some common career paths for someone with a PhD in Econometrics?

With a PhD in Econometrics, graduates often pursue careers in academia as professors or researchers, but there are also numerous opportunities in the private and public sectors. Many work as quantitative analysts, data scientists, or policy advisors in financial institutions, government agencies, international organizations, or consulting firms. The advanced analytical and statistical skills developed during the PhD are highly valued in roles that involve complex data analysis, economic modeling, and policy evaluation. Collaboration with interdisciplinary teams, including economists, data engineers, and policymakers, is common, providing a dynamic work environment and pathways for professional growth.

What are the key skills and qualifications needed to thrive as a PhD in Econometrics, and why are they important?

To thrive as a PhD in Econometrics, you need advanced expertise in statistical theory, econometric modeling, and data analysis, typically supported by a doctoral degree in economics or a related field. Proficiency in statistical software such as Stata, R, Python, or SAS, as well as experience with large datasets and econometric methodologies, is essential. Strong analytical thinking, problem-solving abilities, and effective communication skills help you convey complex findings to diverse audiences. These skills are crucial for producing rigorous research, informing policy, and contributing valuable insights in academic, governmental, or industry settings.

How much does a PhD in Econometrics make?

A PhD in Econometrics typically earns a salary ranging from $80,000 to over $150,000 annually, depending on the industry, location, and experience. Econometricians working in finance, consulting, or academia often have higher earning potential, especially with strong quantitative and programming skills.

Is a PhD in econometrics worth it?

A PhD in econometrics prepares individuals for advanced research, academic positions, and data analysis roles in finance, government, and consulting. It typically involves rigorous coursework and research, leading to higher-level job opportunities and increased earning potential, but requires significant time and effort investment. The value depends on career goals and the demand for specialized quantitative skills.

What can I do with a PhD in econometrics?

A PhD in econometrics prepares individuals for research, analysis, and data-driven roles in academia, government agencies, financial institutions, and consulting firms. Graduates often work as economic analysts, quantitative researchers, policy advisors, or data scientists, utilizing statistical software and advanced modeling techniques. These roles require strong analytical skills and knowledge of econometric methods to inform decision-making and policy development.

What are popular job titles related to Phd In Econometrics jobs in California?

For Phd In Econometrics jobs in California, the most frequently searched job titles are:

What job categories do people searching Phd In Econometrics jobs in California look for?

The top searched job categories for Phd In Econometrics jobs in California are:

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Cities in California with the most Phd In Econometrics job openings:

Phd In Econometrics jobs near you
Infographic showing various Phd In Econometrics job openings in California as of August 2026, with employment types broken down into 1% Internship, 87% Full Time, 10% Part Time, and 2% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution.

Data Scientist

Twitch

San Francisco, CA • On-site

$157K - $212K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 26 days ago

Key responsibilities

  • Apply causal inference methods where experimentation isn't feasible

  • Develop models and analyses that inform pricing, segmentation, and revenue optimization

  • Design, run, and analyze A/B experiments

Job description

About Us
Twitch is the world's biggest live streaming service, with global communities built around gaming, entertainment, music, sports, cooking, and more. It is where thousands of communities come together for whatever, every day.
We're about community, inside and out. You'll find coworkers who are eager to team up, collaborate, and smash (or elegantly solve) problems together. We're on a quest to empower live communities, so if this sounds good to you, see what we're up to on LinkedIn and X, and discover the projects we're solving on our Blog. Be sure to explore our Interviewing Guide to learn how to ace our interview process.
About the Role
Join the Monetization team at Twitch, where we build the products that help creators make a living on the platform. You'll work on products like Subscriptions, Bits, and Gifting, and the pricing and packaging decisions behind them.
You'll partner closely with product, engineering, finance, and data teams to measure the impact of new features, design and analyze experiments, and apply causal inference methods to inform decisions where A/B testing isn't possible. The work ranges from high-velocity experimentation on consumer-facing products to deeper pricing, policy, and segmentation analyses where causal identification is the central challenge.
This role is well-suited for someone with a strong economics or causal ML foundation who wants to apply rigorous statistical thinking to real product decisions at scale. You'll need to be comfortable writing SQL, working with imperfect data, and partnering with stakeholders to turn analysis into product impact. Our team is based at Twitch HQ in San Francisco, CA.
You can work in San Francisco, CA; New York, NY; or Seattle, WA
You Will:
  • Apply causal inference methods where experimentation isn't feasible
  • Develop models and analyses that inform pricing, segmentation, and revenue optimization
  • Design, run, and analyze A/B experiments
  • Partner with product, engineering, and finance to translate ambiguous business questions into measurement frameworks
  • Build and maintain dashboards, reporting, and analytical tooling that support ongoing decision-making
You Have:
  • 3+ years of experience as a data scientist, applied scientist, economist, or related field; OR a PhD in Economics, Statistics, Computer Science, or related quantitative field
  • Proficiency in SQL
  • Proficiency with Python or R
  • Strong foundation in experimentation and causal inference, including A/B test design and quasi-experimental methods
  • Strong communication skills across technical and non-technical stakeholders
  • Comfort building dashboards and recurring reporting
Bonus Points
  • Master's or PhD in Economics, Statistics, or a related quantitative field
  • Industry experience working on consumer products with high transaction volume (subscriptions, marketplaces, payments)
  • Hands-on experience with Airflow, SageMaker, or deploying ML models in production
  • Familiarity with modern causal ML methods (double ML, causal forests, heterogeneous treatment effects)
Perks
  • Medical, Dental, Vision & Disability Insurance
  • 401(k)
  • Maternity & Parental Leave
  • Flexible PTO
  • Amazon Employee Discount

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Job ID: TW9226
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
US, WA, Seattle - Annually
$136,000-$184,000 USD
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
US, CA, San Francisco - Annually
$157,300-$212,800 USD
US, NY, New York - Annually
$153,400-$207,500 USD
Twitch is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Twitch values your privacy. Please consult our Candidate Privacy Notice, for information about how we collect, use, and disclose personal information of our candidates.

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