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Phd In Statistics Jobs in Oregon (NOW HIRING)

MS/PhD in Statistics, Economics, Applied Mathematics, or a related field. Currently Opened Roles Order Experiences (Search) | Sr. Data Scientist I (L5/6) The Order Experiences (Search) team is ...

OR · On-site

... in lieu of PhD may be acceptable. Deep understanding of observational research methods and experience to support the design and conduct of observational research, including protocol, statistical ...

OR · On-site

PhD in Biostatistics, Statistics or related experience required. * 8+ years of relevant experience in medical device or pharmaceutical clinical trials. * Strong knowledge of clinical trial design and ...

Proficiency in Statistical Process Control (SPC) and Design of Experiments (DOE) principles ... Master's degree or PhD in Mechanical Engineering, Electrical Engineering or STEM related field.

Proficiency in Statistical Process Control (SPC) and Design of Experiments (DOE) principles ... Master's degree or PhD in Mechanical Engineering, Electrical Engineering or STEM related field.

Proficiency in Statistical Process Control (SPC) and Design of Experiments (DOE) principles ... Master's degree or PhD in Mechanical Engineering, Electrical Engineering or STEM related field.

Proficiency in Statistical Process Control (SPC) and Design of Experiments (DOE) principles ... Master's degree or PhD in Mechanical Engineering, Electrical Engineering or STEM related field.

PhD in Chemical Engineering, Materials Science, Physics, Electrical Engineering, or a semiconductor ... Expertise in statistical analysis and DOE methodologies, using tools such as JMP, Python, or MATLAB ...

PhD in Chemical Engineering, Materials Science, Physics, Electrical Engineering, or a semiconductor ... Expertise in statistical analysis and DOE methodologies, using tools such as JMP, Python, or MATLAB ...

PhD in Chemical Engineering, Materials Science, Physics, Electrical Engineering, or a semiconductor ... Expertise in statistical analysis and DOE methodologies, using tools such as JMP, Python, or MATLAB ...

PhD in Chemical Engineering, Materials Science, Physics, Electrical Engineering, or a semiconductor ... Expertise in statistical analysis and DOE methodologies, using tools such as JMP, Python, or MATLAB ...

Proficiency in Statistical Process Control (SPC) and Design of Experiments (DOE) principles ... Master's degree or PhD in Mechanical Engineering, Electrical Engineering or STEM related field.

PhD in Chemical Engineering, Materials Science, Physics, Electrical Engineering, or a semiconductor ... Expertise in statistical analysis and DOE methodologies, using tools such as JMP, Python, or MATLAB ...

Master's / PhD in a quantitative field (e.g., Statistics, Economics, Computer Science, Data Science) * Experience working with lending products, risk modeling, or financial services analytics.

OR

$290K/yr

PhD Degree in Biostatistics, Statistics, or a related field with at least 10-12 years of experience in biostatistics within the pharmaceutical, biotech, or CRO industry. * Strong knowledge of ...

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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 is the highest paying job with a statistics degree?

The highest paying jobs with a statistics degree often include roles such as data scientist, quantitative analyst, or actuarial scientist, with salaries exceeding $100,000 annually. Senior positions in finance, technology, or consulting firms tend to offer the highest compensation, especially for those with advanced skills in machine learning, programming, and statistical modeling.

How much can you make with a PhD in statistics?

A PhD in statistics can lead to high-paying roles such as data scientist, quantitative analyst, or research scientist, with salaries typically 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 getting a PhD in statistics worth it?

A PhD in statistics prepares individuals for advanced research, academia, and data science roles that require deep analytical skills and expertise in statistical methods. It can lead to higher-level positions and increased earning potential but involves significant time and financial investment. The decision depends on career goals and the demand for specialized statistical knowledge in the desired industry.

What can I do with PhD in statistics?

A PhD in statistics qualifies individuals for advanced roles such as data scientist, quantitative analyst, biostatistician, or research scientist. These positions often involve data analysis, modeling, and interpretation using statistical software like R or SAS, and may require collaboration across industries such as healthcare, finance, or technology.
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 cities in Oregon are hiring for Phd In Statistics jobs? Cities in Oregon with the most Phd In Statistics job openings:
Infographic showing various Phd In Statistics job openings in Oregon as of June 2026, with employment types broken down into 95% Full Time, and 5% Part Time. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.
Senior Data Scientist (I & II)

Other

Posted 19 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

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

Order Experiences (Search) | Sr. Data Scientist I (L5/6)

The Order Experiences (Search) team is focused on making it fast and effortless for customers to find the right items and complete their order with confidence. As a Senior Data Scientist, you'll own the analytics and experimentation strategy that powers how we interpret customer intent and surface the most relevant results-driving search conversion, order rate, and GTV. You'll partner closely with Product, Engineering, and ML to shape the roadmap for search relevance and ranking quality, running experiments across retrieval, ranking, and search UX while connecting offline model evaluation to real-world business outcomes.

Ecosystems | Sr. Data Scientist II (L6)

The Ecosystems team tackles some of Instacart's most strategic macro-level analytical challenges, including quantifying the impact of economic trends, competitive dynamics, and seasonality on core business metrics. As a Senior Data Scientist II, you'll own time-series forecasting for key business outcomes, develop measurement frameworks for evaluating competing growth initiatives, and build AI tooling to scale analytics workflows across the team. This role also carries a technical leadership dimension-you'll set the methodological bar, mentor peers, and review analyses to drive rigor across the organization.

Delivery | Sr. Data Scientist II (L6)

The Delivery team 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 logistics. You'll also proactively identify high-risk delivery scenarios and develop solutions to the underlying systemic issues that drive them.

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


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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