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Senior Economics Data Science Jobs in Oregon (NOW HIRING)

Overview This is a general posting for multiple Senior Data Science roles open across our 4-sided ... MS/PhD in Statistics, Economics, Applied Mathematics, or a related field. Currently Opened Roles ...

Data science is a competitive differentiator for Nike and is fundamentally changing how the company ... WHO WE ARE LOOKING FOR We are looking for an experienced Senior Data Scientist to join our Data ...

Passion for mentoring senior and junior data scientists, fostering technical excellence, and building a culture of experimentation and rigorous thinking. * Customer Empathy * Experience engaging ...

Senior Data Scientist

OR · On-site +1

$140K - $190K/yr

As a Senior Data Scientist , you will play a pivotal role in advancing Reify Health's data-driven ... Ensure all data science practices align with HIPAA, GDPR, and other privacy regulations ...

... including senior stakeholders. What will be needed to succeed? * Demonstrated expertise with a ... Demonstrated expertise in data science including conditioning, modeling, integration, visualization ...

New

... including senior stakeholders. What will be needed to succeed? * Demonstrated expertise with a ... Demonstrated expertise in data science including conditioning, modeling, integration, visualization ...

New

As a Senior AI / Data Science Engineer in the MDCE Data Science organization, you will play a critical role in shaping the future of AI-driven semiconductor manufacturing. You will lead the ...

SOSi is seeking a Senior Data Scientist to support mission requirements for a structured approach ... Master's degree in Data Science, Machine Learning, Statistics, or a related field, or; * nine (9) ...

SOSi is seeking a Senior Data Scientist to support mission requirements for a structured approach ... Master's degree in Data Science, Machine Learning, Statistics, or a related field, or; * nine (9) ...

The Data Science group is made up of people from a diverse set of backgrounds and perspectives ... The Impact You'll Make As a Senior Data Scientist on the Search team, you will shape how neighbors ...

Overview Instacart's Marketing Data Science and Analytics team partners across Marketing, Strategic ... Bachelor's degree in a quantitative field (e.g., Statistics, Economics, Computer Science ...

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Senior Economics Data Science information

What is a senior economics data scientist?

Senior Economics Data Scientists are experienced professionals who use advanced data analysis, statistical modeling, and economic theory to solve complex business and policy problems. They collect, process, and interpret large datasets to provide actionable insights, forecast trends, and inform decision-making at a strategic level. Typically, they work closely with interdisciplinary teams, lead research projects, and may mentor junior analysts. Their work often spans sectors such as finance, government, technology, and consulting, where data-driven economic insights are crucial.

What are the typical collaboration opportunities for a senior economics data scientist within a cross-functional team?

As a Senior Economics Data Science professional, you’ll frequently collaborate with economists, product managers, engineers, and business analysts. Your role will involve designing experiments, building predictive models, and translating complex economic insights into actionable strategies for stakeholders. You’ll often participate in cross-functional meetings to align on objectives, share data-driven findings, and help guide product or business decisions. This collaborative environment not only strengthens the impact of your work but also provides exposure to diverse perspectives and opportunities for career growth.

What are the key skills and qualifications needed to thrive as a senior economics data scientist, and why are they important?

To thrive as a Senior Economics Data Scientist, you need a strong background in economics, statistics, and data analysis, typically supported by an advanced degree (e.g., MS or PhD) in economics, statistics, or a related field. Proficiency with programming languages such as Python or R, experience with statistical modeling tools, and familiarity with databases like SQL are essential, along with knowledge of machine learning frameworks. Strong communication, problem-solving abilities, and collaboration skills help translate complex data insights into actionable business recommendations. These skills are crucial for driving data-driven decision-making and delivering impactful economic analysis in a business environment.

What is the difference between Senior Economics Data Science vs Data Analyst?

AspectSenior Economics Data ScienceData Analyst
Required CredentialsMaster's or PhD in Economics, Data Science, or related fieldBachelor's degree in Economics, Statistics, or related field
Work EnvironmentAdvanced analytics, modeling, economic research, cross-functional teamsData collection, reporting, basic analysis, business support
Employer & Industry UsageFinancial services, consulting, tech, government agenciesRetail, marketing, healthcare, finance

Senior Economics Data Science roles focus on complex economic modeling, predictive analytics, and strategic insights, often requiring advanced degrees. Data Analysts typically handle data reporting, visualization, and basic analysis to support business decisions. While both roles work with data, Senior Economics Data Scientists engage in more sophisticated modeling and economic research, whereas Data Analysts focus on data interpretation and reporting.

What cities in Oregon are hiring for Senior Economics Data Science jobs?

Cities in Oregon with the most Senior Economics Data Science job openings:

Senior Data Scientist

Instacart

OR • On-site, Remote

Full-time

Re-posted 5 days ago


Instacart rating

7.1

Company rating: 7.1 out of 10

Based on 31 frontline employees who took The Breakroom Quiz

28th 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


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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