ZipRecruiter

Log In

1

Phd Data Scientist Jobs in Oregon (NOW HIRING)

Instacart

Senior Data Scientist

OR · On-site +1

MS/PhD in Statistics, Economics, Applied Mathematics, or a related field. Currently Opened Roles Marketing | Sr. Data Scientist I (L5) The Marketing Data Science team is responsible for measurement ...

Netflix

Data Scientist 6 - Experimentation Platform

OR · On-site +1

We are looking for a Staff Data Scientist to help set the strategic direction for XP, elevate the ... Qualifications Advanced degree (PhD or Masters) in Computer Science, Statistics, Economics, Applied ...

CookUnity

Director, Data Science/ML

OR · On-site +1

PhD or Master's degree in Computer Science, Statistics, Mathematics, or related quantitative field ... Experience building data science teams from scratch or through periods of rapid growth * Prior work ...

Netflix

Data Scientist 5 - Ads Experimentation

OR · On-site +1

$372K - $600K/yr

The Ads Data Science & Engineering team is responsible for the foundational logic of the Netflix ... MS or PhD in a quantitative field (e.g., Statistics, Economics, Mathematics) or equivalent ...

Fuze Health

Applied Scientist - FuzeRx

OR · On-site +1

... data-driven decision-making. A Bit About You Minimum Qualifications * Master's or PhD in a quantitative field such as Computer Science, Mathematics, Engineering, or a related discipline. * 6+ years ...

Upstart

Applied Scientist

OR · On-site +1

Navigate complex, messy datasets and build reusable data pipelines, metrics, and analytical ... PhD in Mathematics, Statistics, Economics, Operations Research or a related field (or its ...

Netflix

Research Scientist 5 - Ads, Identity Matching

OR · On-site +1

$466K - $750K/yr

We are now hiring for the founding data scientists in this new business area for Netflix. Our goal ... Qualifications Advanced degree (PhD or Master's) in Computer Science, Statistics, Economics ...

Nvidia

Senior Scientist, Synthetic Data Generation

OR · On-site +1

PhD in Computer Science, Machine Learning, Statistics, or a related field, or equivalent experience. A research background of 3+ years in synthetic data generation, generative modeling, multimodal ...

New

Instacart

Senior Marketing Decision Scientist II

OR · On-site +1

Overview Instacart's Marketing Data Science and Analytics team partners across Marketing, Strategic ... Preferred Qualifications * 8+ years of relevant experience; advanced degree (MS/PhD) in a ...

Pigment

Work with Engineering and Data Science leads to define the path to production-grade solver ... MS/PhD advantageous) #LI-HYBRID #LI-LS1 We conduct background checks as part of our hiring process ...

Netflix

Machine Learning Scientist 5 - Ad Ranking

OR · On-site +1

$466K - $750K/yr

... PhD or Master's) in Computer Science, Statistics, Mathematics, or related quantitative field. Proficiency in Python, Scala or Java. Deep knowledge of machine learning, optimization, and data analysis ...

Vantor

Applied AI Scientist

OR · On-site

$128K - $215K/yr

Build and operate end-to-end AI/ML pipelines including data ingestion, preprocessing, feature ... MS or PhD in Computer Science, Machine Learning, Artificial Intelligence, Applied Mathematics, or a ...

next page

Showing results 1-20

All JobsPhd Data Scientist JobsPhd Data Scientist Jobs in Oregon

Phd Data Scientist information

See Oregon salary details

$48.6K

$174.5K

$257.4K

How much do phd data scientist jobs pay per year?

As of Aug 31, 2026, the average yearly pay for phd data scientist in Oregon is $174,471.00, according to ZipRecruiter salary data. Most workers in this role earn between $141,100.00 and $179,700.00 per year, depending on experience, location, and employer.

What is a PhD data scientist?

PhD Data Scientists are professionals who have earned a doctoral degree (PhD) in a relevant field, such as computer science, statistics, mathematics, or engineering, and work in roles focused on analyzing and interpreting complex data. They leverage advanced research skills, deep theoretical knowledge, and expertise in data modeling to solve challenging problems, build predictive models, and derive actionable insights for organizations. PhD Data Scientists often contribute to cutting-edge projects, publish research, and help bridge the gap between academic research and practical, real-world applications.

What are the key skills and qualifications needed to thrive as a PhD data scientist?

To thrive as a PhD Data Scientist, you need advanced expertise in statistics, machine learning, and data analysis, typically backed by a PhD in a quantitative field. Proficiency with programming languages like Python or R, experience with big data tools (e.g., Hadoop, Spark), and familiarity with cloud platforms and version control systems are commonly required. Strong problem-solving skills, communication abilities, and the capacity to explain complex concepts to non-technical stakeholders are crucial soft skills. These skills and qualities are essential for extracting actionable insights from complex datasets and driving data-informed decision-making in organizations.

What are some common challenges PhD data scientists face when transitioning from academia to industry roles?

PhD Data Scientists often encounter challenges when moving from academia to industry, such as adapting to faster project timelines, prioritizing business impact over exploratory research, and communicating complex findings to non-technical stakeholders. In industry, there is a greater emphasis on collaborative teamwork and delivering actionable insights that align with organizational goals. Building skills in agile development, stakeholder engagement, and product-focused thinking can help smooth the transition and ensure success in a corporate environment.

What is the difference between Phd Data Scientist vs Data Analyst?

AspectPhd Data ScientistData Analyst
Required CredentialsPhD or Master's in Data Science, Statistics, or related fieldBachelor's or Master's in related field, often with certifications
Work EnvironmentResearch-focused, complex modeling, advanced analyticsBusiness reporting, data visualization, basic analysis
Employer & Industry UsageTech, academia, research institutions, large corporationsBusiness, marketing, finance, healthcare

Phd Data Scientists typically have advanced degrees and focus on complex modeling and research, while Data Analysts handle more straightforward data reporting and visualization tasks. Both roles are essential in data-driven organizations but differ in scope and expertise.

What are popular job titles related to Phd Data Scientist jobs in Oregon?

For Phd Data Scientist jobs in Oregon, the most frequently searched job titles are:

What job categories do people searching Phd Data Scientist jobs in Oregon look for?

The top searched job categories for Phd Data Scientist jobs in Oregon are:

What cities in Oregon are hiring for Phd Data Scientist jobs?

Cities in Oregon with the most Phd Data Scientist job openings:

Phd Data Scientist jobs near you
Infographic showing various Phd Data Scientist job openings in Oregon as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 15% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $174,471 per year, or $83.9 per hour.

Senior Data Scientist

Instacart

OR • On-site, Remote

Full-time

Re-posted 15 days ago

Instacart rating

6.7

Company rating: 6.7 out of 10

Based on 32 frontline employees who took The Breakroom Quiz

42nd of 64 rated delivery companies

Job description

Overview

This is a general posting for multiple Senior Data Science roles open across our 4-sided marketplace. Roles are open at both the L5 (Senior Data Scientist I) and L6 (Senior Data Scientist II) levels. You'll get the chance to learn about the different problems the Data Science team solves as you go through the process. Towards the end of your process, we'll do a team-matching exercise to determine which of the open roles/teams you'll join. At the bottom of this posting, you'll find a breakdown of the currently open roles.

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

  • 5+ years of experience working in a quantitative role at a product company or a research organization.
  • Ability to run rigorous experiments and generate scientifically sound recommendations.
  • Ability to write complex, efficient, and eloquent SQL queries to extract data.
  • Ability to write efficient and eloquent code in Python or R.
  • A desire to build and improve consumer software products.
  • Ability to translate business needs into analytical frameworks.
  • Eagerness to learn, flexibility to pivot when needed, savviness to navigate a dynamic environment, and a growth mindset to build a successful team and company.

Preferred Qualifications

  • Awareness of business trade-offs when working on a multi-sided marketplace.
  • Confidence in collaborating with and influencing cross-functional stakeholders (e.g., Product, Engineering) at a senior level.
  • MS/PhD in Statistics, Economics, Applied Mathematics, or a related field.

Currently Opened Roles

Marketing | Sr. Data Scientist I (L5)

The Marketing Data Science team is responsible for measurement and optimization across Instacart's paid digital channels, including search, shopping, display, social, and video. As a Senior Data Scientist, you'll build and maintain sophisticated attribution models-including multi-touch and incrementality-based approaches-and develop scalable data pipelines to turn raw marketing data into clean, analysis-ready datasets. You'll apply causal inference methods such as geo holdouts and difference-in-differences to evaluate campaign effectiveness, partnering closely with marketing, data engineering, and business teams to define measurement frameworks and drive data-informed decisions. You'll also model user lifetime value (LTV) across acquisition cohorts, quantifying how marketing spend and channel mix influence long-term retention and monetization to inform budget allocation and growth strategy

#LI-Remote

What Instacart employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Instacart logo

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

View All Instacart Jobs

Apply