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Phd In Statistics Jobs in Oregon (NOW HIRING)

PlayStation Global

OR · On-site

Master's or PhD in Statistics, Economics, or Econometrics. Other degrees in quantitative disciplines may be considered. * Bonus: Interest in or knowledge of video games, gaming platforms, or player ...

Netflix

OR · On-site

$300K - $537K/yr

You have an advanced degree (MS or PhD) in statistics, economics, computer science, mathematics, or a related quantitative field, or equivalent applied research experience Generally, our compensation ...

Upstart

OR

PhD in operations research, statistics, economics, computer science, or another quantitative field * Experience with offer optimization, pricing systems, marketplace optimization, or related ...

Netflix

OR · On-site

$300K - $537K/yr

... PhD) in statistics, economics, computer science, mathematics, or a related quantitative field, or equivalent applied research experience Generally, our compensation structure consists solely of an ...

Netflix

OR · On-site

$372K - $600K/yr

An advanced degree (Masters or PhD) in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field * Strong statistical skills such as regression and A/B testing ...

Netflix

OR

$300K - $537K/yr

... PhD) in statistics, economics, computer science, or a related quantitative field, or equivalent applied experience Generally, our compensation structure consists solely of an annual salary; we do not ...

Netflix

OR

$372K - $600K/yr

An advanced degree (Masters or PhD) in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field Strong statistical skills such as regression and A/B testing ...

Instacart

OR

MS/PhD in Statistics, Economics, Applied Mathematics, or a related field. Currently Opened Roles AI for Analytics | Sr. Data Scientist II (L6) Instacart is developing AI-powered systems to accelerate ...

Netflix

OR · On-site

$300K - $537K/yr

Advanced degree (MS or PhD) in statistics, economics, computer science, or a related quantitative field, or equivalent applied experience Generally, our compensation structure consists solely of an ...

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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.

What can you do with a PhD in statistics?

A PhD in statistics prepares individuals for advanced roles in data analysis, research, and consulting 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 modeling, programming, and data management. The degree also enables careers in academia and research institutions, often requiring proficiency in tools like R, Python, or SAS.

How much can you make with a PhD in statistics?

A PhD in statistics typically leads to high-paying roles such as data scientist, quantitative analyst, or research scientist, with salaries often ranging from $90,000 to over $150,000 annually depending on experience, industry, and location. Advanced skills in programming, statistical software, and data analysis increase earning potential in this field.

Is a PhD in statistics worth it?

A PhD in statistics can lead to advanced roles in research, data science, and academia, 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.

Is AI replacing statisticians?

AI is transforming the role of statisticians by automating routine data analysis tasks and enabling more complex modeling, but it does not replace the need for expert statistical judgment, interpretation, and domain knowledge. Statisticians are increasingly using AI tools and programming languages like R or Python to enhance their work, making their skills still essential in designing studies and ensuring data quality.
What are popular job titles related to Phd In Statistics jobs in Oregon? For Phd In Statistics jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Phd In Statistics jobs in Oregon look for? The top searched job categories for Phd In Statistics jobs in Oregon are:
What cities in Oregon are hiring for Phd In Statistics jobs? Cities in Oregon with the most Phd In Statistics job openings:
Phd In Statistics jobs near you
Infographic showing various Phd In Statistics job openings in Oregon as of June 2026, with employment types broken down into 79% Full Time, and 21% Part Time. Highlights an 90% Physical, 4% Hybrid, and 6% Remote job distribution.
Senior Data Scientist II - Core Delivery

Senior Data Scientist II - Core Delivery

Instacart

OR • Remote

Other

Posted 12 days ago

Instacart rating

7.0

Company rating: 7.0 out of 10

Based on 30 frontline employees who took The Breakroom Quiz

32nd of 62 rated delivery companies

Job description

Overview

The Core Delivery team at Instacart is dedicated to ensuring customers receive their complete orders seamlessly, spanning the full flow from capturing customer information to coordinating the shopper experience. As a Senior Data Scientist II, you'll identify strategic opportunities to enhance the delivery experience, design and execute rigorous experiments to evaluate new product features, and leverage geospatial data and advanced analytical techniques to optimize delivery experience. You'll also proactively identify high-risk delivery scenarios and develop solutions to the underlying systemic issues that drive them.

About the Job

  • Own analytical frameworks that guide the product roadmap.
  • Design rigorous experiments and interpret results to draw detailed and actionable conclusions.
  • Develop statistical models to extract trends, measure results, and predict future performance of our products.
  • Build simulations to project the impact of various product and policy interventions.
  • Enable objective decision-making across the company by democratizing data through dashboards and other analytical tools.
  • Use expertise in causal inference, machine learning, complex systems modeling, behavioral decision theory, etc., to shape the future of Instacart.
  • Present findings in a compelling way to influence Instacart's leadership.

About You

Minimum Qualifications

  • 7+ years of experience working in a data science or ML role at a product company.
  • Ability to run rigorous experiments and generate scientifically sound recommendations.
  • Strong SQL skills for data extraction and transformation from relational databases.
  • Proficiency in Python or R for data manipulation and statistical analysis, including libraries such as pandas, scikit-learn, or equivalent.
  • Ability to translate business needs into analytical frameworks.

Preferred Qualifications

  • Experience with geospatial analysis techniques.
  • MS/PhD in Statistics, Economics, Applied Mathematics, or a related field.

#LI-remote

What Instacart employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Instacart

Sourced by ZipRecruiter

Instacart, based in San Francisco, CA, US, operates within the retail industry, specifically grocery delivery and pick-up service. It is recognized as a pioneer in this field, delivering fresh groceries from local stores directly to customers' doors. The company, which launched its services in 2012, continues to pioneer change in the online grocery shopping sector through its commitment to cutting-edge technology, new business ideas, and dedicated service.

Industry

Technology, communication and media

Company size

10,000+ Employees

Headquarters location

San Francisco, CA, US

Year founded

2012

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