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Phd In Statistics Jobs in Seattle, WA (NOW HIRING)

Twitch

Data Scientist

Seattle, WA · On-site

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 ...

Nexxen

Data Scientist

Bellevue, WA · On-site

$160 - $200/hr

MS/PhD in Computer Science, Engineering, Statistics, Mathematics or a related technical field * MarTech/AdTech experience preferred; expertise with AdTech SSPs is a strong plus. * Experience in ...

Nexxen International

Data Scientist

Bellevue, WA · On-site

$160 - $200/hr

What we would like to see MS/PhD in Computer Science, Engineering, Statistics, Mathematics or a related technical field. MarTech/AdTech experience preferred; expertise with AdTech SSPs is a strong ...

Amazon

Economist II

Seattle, WA · On-site

BASIC QUALIFICATIONS - PhD in economics or equivalent PREFERRED QUALIFICATIONS - 3+ years of ... statistics methodology, applications to business problems, and/or big data. - Ability to work in a ...

micro1 AI

Biostatistician

Bellevue, WA · Remote

$60 - $65/hr

Advanced degree (MSc or PhD) in Biostatistics, Statistics, or a closely related quantitative field. * Nice to have: Experience as lead statistician on pivotal/registrational studies, authoring or ...

micro1 AI

Biostatistician

Seattle, WA · Remote

$60 - $65/hr

Advanced degree (MSc or PhD) in Biostatistics, Statistics, or a closely related quantitative field. * Nice to have: Experience as lead statistician on pivotal/registrational studies, authoring or ...

micro1 AI

Biostatistician

Federal Way, WA · Remote

$60 - $65/hr

Advanced degree (MSc or PhD) in Biostatistics, Statistics, or a closely related quantitative field. * Nice to have: Experience as lead statistician on pivotal/registrational studies, authoring or ...

micro1 AI

Biostatistician

Everett, WA · Remote

$60 - $65/hr

Advanced degree (MSc or PhD) in Biostatistics, Statistics, or a closely related quantitative field. * Nice to have: Experience as lead statistician on pivotal/registrational studies, authoring or ...

micro1 AI

Biostatistician

Tacoma, WA · Remote

$60 - $65/hr

Advanced degree (MSc or PhD) in Biostatistics, Statistics, or a closely related quantitative field. * Nice to have: Experience as lead statistician on pivotal/registrational studies, authoring or ...

micro1 AI

Biostatistician

Renton, WA · Remote

$60 - $65/hr

Advanced degree (MSc or PhD) in Biostatistics, Statistics, or a closely related quantitative field. * Nice to have: Experience as lead statistician on pivotal/registrational studies, authoring or ...

micro1 AI

Biostatistician

Kent, WA · Remote

$60 - $65/hr

Advanced degree (MSc or PhD) in Biostatistics, Statistics, or a closely related quantitative field. * Nice to have: Experience as lead statistician on pivotal/registrational studies, authoring or ...

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All JobsPhd In Statistics JobsPhd In Statistics Jobs in Seattle, WA

Phd In Statistics information

What is the difference between Phd In Statistics vs Data Scientist?

AspectPhd In StatisticsData Scientist
Required CredentialsTypically a PhD in Statistics or related fieldOften a bachelor's or master's degree in a quantitative field; some roles prefer a PhD
Work EnvironmentAcademic, research institutions, or specialized analytics teamsCorporate, tech companies, or consulting firms
Industry UsageResearch, academia, government, and industry R&DBusiness analytics, product development, and data-driven decision making
Common Search & ComparisonYesYes

While a Phd In Statistics focuses on advanced research, theoretical development, and academic roles, Data Scientists apply statistical and machine learning techniques to solve practical business problems. Both roles require strong analytical skills, but Data Scientists often work in more applied, industry-focused environments, whereas PhD holders may pursue research or academic careers.

Is a PhD in statistics worth it?

A PhD in statistics can lead to advanced roles in academia, research, data science, and analytics, often requiring strong analytical and programming skills. While it offers high-level expertise and potential for higher salaries, it also involves significant time and financial investment, and job prospects depend on industry demand and individual specialization.

What can you do with a PhD in statistics?

A PhD in statistics prepares individuals for advanced roles in data analysis, research, and modeling across industries such as healthcare, finance, technology, and government. Graduates often work as data scientists, statisticians, quantitative analysts, or research scientists, utilizing skills in statistical software, programming, and data interpretation to solve complex problems. These roles typically require strong analytical abilities and knowledge of statistical methods and tools like R, Python, or SAS.

What are popular job titles related to Phd In Statistics jobs in Seattle, WA?

For Phd In Statistics jobs in Seattle, WA, the most frequently searched job titles are:

What job categories do people searching Phd In Statistics jobs in Seattle, WA look for?

The top searched job categories for Phd In Statistics jobs in Seattle, WA are:

Phd In Statistics jobs near you
Infographic showing various Phd In Statistics job openings in Seattle, WA as of August 2026, with employment types broken down into 17% Internship, 49% Full Time, 17% Part Time, and 17% Contract. Highlights an 83% In-person, and 17% Remote job distribution.

Data Scientist

Twitch

Seattle, WA • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 5 hours ago

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

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