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Statistical Engineering Jobs in Oregon (NOW HIRING)

Upstart

Principal Product Analyst

OR · On-site +1

Expert-level proficiency in SQL & strong applied experience with 1+ statistical programming language (Python or R) * Proven track record of designing, executing, and evaluating A/B tests, with a deep ...

INTEL

Module Engineering Undergraduate Intern

Lafayette, OR

$17 - $22.25/hr

Minimum Qualifications: * BS student in Chemical Engineering, Material Science, Electrical Engineering, Mechanical Engineering, Chemistry, Data Science, Math, Statistics, Computer Engineering, or ...

New

INTEL

Module Engineering Undergraduate Intern

Vernonia, OR

$17.75 - $23/hr

Minimum Qualifications: * BS student in Chemical Engineering, Material Science, Electrical Engineering, Mechanical Engineering, Chemistry, Data Science, Math, Statistics, Computer Engineering, or ...

New

Intel

Foundry Strategic Industrial Engineer

Hillsboro, OR · On-site

$76K - $102K/yr

A PhD in an Engineering, Mathematics, or Statistics discipline and 1+ years of relevant experience. Relevant experiences should include: * Experience synthesizing abstract complex data into clear ...

Media.Monks

$130K/yr

While this is an engineering-first role, you will also work with the Data Science team to assist in their application of statistical modeling and machine learning to help turn raw data into ...

New

Monks

While this is an engineering-first role, you will also work with the Data Science team to assist in their application of statistical modeling and machine learning to help turn raw data into ...

New

Parabilis Medicines

OR · On-site

The Vice President of Biometry will lead Parabilis's biometrics organization, overseeing biostatistics, statistical programming, data management, clinical data science and Real-World Data to support ...

Instacart

Measurement Science Manager II

OR · Remote

Bachelor's Degree in a quantitative field such as Engineering, Mathematics/Statistics, Finance, Economics, Business * 6+ years of experience in data and measurement or consulting fields with ...

Upstart

Senior Engineering Manager, Marketplace

OR · On-site +1

Background in statistics, economics, or applied ML domains * Demonstrated success building ... engineering processes across multiple teams Position Location - This role is available in the ...

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Showing results 1-20

All JobsStatistical Engineering JobsStatistical Engineering Jobs in Oregon

Statistical Engineering information

What are the key skills and qualifications needed to thrive as a Statistical Engineer, and why are they important?

To thrive as a Statistical Engineer, you need strong quantitative analysis skills, a background in statistics or mathematics, and often a relevant degree such as in engineering or applied statistics. Proficiency with statistical software (e.g., R, SAS, Python), data management systems, and sometimes Six Sigma certification is typically required. Critical thinking, problem-solving, and clear communication are crucial soft skills for interpreting data and collaborating with multidisciplinary teams. These skills ensure accurate data-driven decisions, efficient process improvements, and effective solutions to complex engineering challenges.

What is the difference between Statistical Engineering vs Data Scientist?

AspectStatistical EngineeringData Scientist
Required credentialsStatistics, Data Analysis, EngineeringStatistics, Computer Science, Data Analysis
Work environmentManufacturing, R&D, Engineering teamsBusiness, Tech, Research sectors
Employer usageOptimizing processes, designing experimentsBuilding models, insights, predictive analytics

Statistical Engineering focuses on applying statistical methods to improve engineering processes and product development, often within manufacturing or R&D settings. Data Scientists analyze large datasets to extract insights, build predictive models, and support business decisions. While both roles require strong statistical skills, Statistical Engineering emphasizes process optimization and experimental design, whereas Data Scientists focus on data-driven insights across diverse industries.

How does a Statistical Engineer typically collaborate with cross-functional teams to implement data-driven solutions?

Statistical Engineers frequently work alongside data scientists, software engineers, and business analysts to design and implement robust data-driven solutions. They are responsible for translating complex statistical models into actionable insights and ensuring that these models are integrated effectively within existing systems. Collaboration often involves regular meetings to align on project goals, sharing progress updates, and troubleshooting technical challenges together. This interdisciplinary teamwork is essential for ensuring that statistical methodologies are not only theoretically sound but also practically applicable to real-world business problems.

What is statistical engineering?

Statistical engineering is an interdisciplinary field that focuses on the integration and application of statistical methods and principles to solve complex, large-scale problems in science, business, and engineering. It involves designing data collection processes, analyzing and interpreting data, and implementing statistical solutions within larger systems. Statistical engineers often work on projects that require collaboration with other engineering disciplines, using statistics as a foundational tool to drive decision-making and innovation.
What are popular job titles related to Statistical Engineering jobs in Oregon? For Statistical Engineering jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Statistical Engineering jobs in Oregon look for? The top searched job categories for Statistical Engineering jobs in Oregon are:
What cities in Oregon are hiring for Statistical Engineering jobs? Cities in Oregon with the most Statistical Engineering job openings:
Statistical Engineering jobs near you
Principal Product Analyst

Principal Product Analyst

Upstart

OR • On-site, Remote

Other

Re-posted 29 days ago

Job description

The Team: 

Upstart's Product Analytics team is the compass for our product development, dedicated to transforming complex user behavior and platform data into clear, actionable product strategies. Operating at the intersection of data, engineering, and product management, the team designs rigorous experiments, builds scalable data infrastructure, and uncovers the deep insights that drive continuous innovation and ensure our lending products deliver exceptional value.

As a Principal Product Analyst supporting our unsecured installment products (including Personal Loans, Relief Loans, and Cashline), you will act as a strategic partner to product leadership, owning the analytics roadmap for a core area of Upstart's business. You will champion a culture of experimentation, execute high-impact analyses to decode user journey dynamics, and collaborate seamlessly with Product, Engineering, and Machine Learning teams to translate complex data into scalable, growth-driving product enhancements.

How you'll make an impact

  • Drive product strategy through data: Partner closely with Product Management, Engineering, and Design leaders to define success metrics, size new opportunities, and shape the strategic roadmap for our unsecured installment products.
  • Lead rigorous experimentation: Own the end-to-end A/B testing lifecycle-from hypothesis generation and experimental design to deep-dive analysis and executive readout-to continuously optimize user funnels and product features.
  • Execute high-impact behavioral analyses: Dive deep into complex user journey data to uncover friction points, retention drivers, and growth levers, translating raw telemetry into actionable product recommendations.
  • Architect scalable data solutions: Collaborate with Engineering teams to define tracking requirements for new product launches, ensuring high data quality and building intuitive dashboards that empower teams with self-serve insights.
  • Elevate the analytics culture: Act as a thought leader within the Product Analytics organization by mentoring peers, establishing best practices for analytical rigor, and championing a deeply data-informed culture across Upstart.

Minimum Qualifications 

  • 10+ years of professional experience in product analytics, data science, or a similar quantitative role focused on product optimization and user behavior.
  • Expert-level proficiency in SQL & strong applied experience with 1+ statistical programming language (Python or R) 
  • Proven track record of designing, executing, and evaluating A/B tests, with a deep understanding of experimental design, hypothesis testing, and statistical rigor.
  • Hands-on experience building foundational reporting and interactive dashboards using modern Business Intelligence and data visualization tools (e.g., Looker, Tableau, or similar).

Preferred Qualifications

  • 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.
  • Excellent communication skills with a proven ability to present complex data insights in a clear and actionable manner.
  • Comfort with ambiguity and a strategic mindset for solving complex, unstructured problems.

Position location This role is available in the following locations: Remote 

Time zone requirements The team operates on the East/West coast time zones. 

Travel requirements As a digital first company, the majority of your work can be accomplished remotely. The majority of our employees can live and work anywhere in the U.S but are encouraged to to still spend high quality time in-person collaborating via regular onsites. The in-person sessions' cadence varies depending on the team and role; most teams meet once or twice per quarter for 2-4 consecutive days at a time.

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