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Executive Data Science Jobs in Eugene, OR (NOW HIRING)

CAS School of Computer & Data Sciences Classification: Public Info Representative 1 Appointment ... Executive Director and other members of SCDS. The Associate will be an extension of the CAS Comms ...

Communications Associate

Eugene, OR · On-site

$22.84 - $34.70/hr

CAS School of Computer & Data Sciences Classification: Public Info Representative 1 Appointment ... Executive Director and other members of SCDS. The Associate will be an extension of the CAS Comms ...

Collaborate with the Founder/CEO, Engineering & Design team (ex-Google/Apple/Facebook/Microsoft) to ... Bachelor's degree in Computer Science, Engineering, Business or a related field (preferred, not ...

Quality Assurance Manager

Eugene, OR · On-site

$90K - $95K/yr

MS or BS degree in Food Science, Chemistry, Foods & Nutrition, Food Engineering, or a related ... data, format professionally, and add/use formulas)Adept at taking initiative to track down ...

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Executive Data Science information

See Eugene, OR salary details

$26.6K

$94K

$184.8K

How much do executive data science jobs pay per year?

As of Sep 6, 2026, the average yearly pay for executive data science in Eugene, OR is $93,956.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,200.00 and $121,000.00 per year, depending on experience, location, and employer.

What is executive data science?

Executive Data Science refers to the leadership and management of data science initiatives within an organization. Professionals in this role are responsible for setting the strategic direction for data-driven projects, overseeing data teams, and ensuring that data science efforts align with business goals. They bridge the gap between technical teams and executives, translating analytical insights into actionable business strategies. Typically, Executive Data Scientists have a blend of technical expertise and strong business acumen, enabling them to make high-level decisions that impact the organization’s growth and innovation.

What skills and qualifications are needed to thrive as an executive data scientist?

To thrive as an Executive Data Scientist, you need deep expertise in statistics, machine learning, and data analysis, typically supported by an advanced degree in a quantitative field. Proficiency with data platforms (such as SQL, Hadoop, or Spark), programming languages (like Python or R), and familiarity with data visualization tools is essential, along with certifications like Certified Analytics Professional (CAP) being advantageous. Strategic vision, leadership, and the ability to communicate complex insights to non-technical stakeholders are vital soft skills. These competencies drive effective data-driven decision-making and ensure alignment between analytics initiatives and business objectives.

How does an executive data scientist typically collaborate with other departments to drive data-driven decision making?

Executive Data Scientists frequently work cross-functionally with departments such as marketing, product, finance, and operations to identify key business challenges and opportunities where data can provide strategic insights. They lead or advise interdisciplinary teams, translate complex analytics into actionable recommendations, and often present findings to senior leadership or stakeholders. Building strong relationships and understanding business objectives are crucial, as these collaborations enable the alignment of data science initiatives with organizational goals.

What is the difference between Executive Data Science vs Data Scientist?

AspectExecutive Data ScienceData Scientist
CredentialsAdvanced degrees (Master's/PhD), leadership experienceBachelor's or Master's in Data Science, Computer Science, or related fields
Work EnvironmentStrategic, leadership-focused, often in executive officesHands-on data analysis, modeling, coding in technical teams
Employer & Industry UsageSenior roles in tech, finance, consulting, and large organizationsTech companies, startups, research institutions, various industries

Executive Data Science roles focus on strategic decision-making, leadership, and overseeing data initiatives, while Data Scientists are primarily involved in technical data analysis and modeling. Both roles require strong analytical skills, but Executive Data Scientists combine technical expertise with leadership responsibilities.

What are the most commonly searched types of Data Science jobs in Eugene, OR?

The most popular types of Data Science jobs in Eugene, OR are:

What are popular job titles related to Executive Data Science jobs in Eugene, OR?

For Executive Data Science jobs in Eugene, OR, the most frequently searched job titles are:

What job categories do people searching Executive Data Science jobs in Eugene, OR look for?

The top searched job categories for Executive Data Science jobs in Eugene, OR are:

What cities near Eugene, OR are hiring for Executive Data Science jobs?

Cities near Eugene, OR with the most Executive Data Science job openings:

Infographic showing various Executive Data Science job openings in Eugene, OR as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 19% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $93,956 per year, or $45.2 per hour.

Principle Data Solutions Architect

3M HEALTHCARE

Corvallis, OR • On-site

$147.05 - $230.85/hr

Other

Medical, Dental, Vision, Life, PTO

Posted 18 days ago


Job description

Principal Data Solutions Architect

HP PageWide Industrial operates at the intersection of high‑performance hardware, industrial software, and real‑time data at factory scale. This senior architect role shapes how industrial presses connect to cloud platforms, partner ecosystems, and AI‑enabled solutions—unlocking real‑time productivity insights and enabling the next generation of intelligent, autonomous press operations.

Responsibilities
  • Own and lead the end‑to‑end ecosystem integration architecture, considering data, systems, and workflows spanning presses, jobs, attached or involved devices, AI capabilities, agents, and partner systems within factory settings and associated cloud services.
  • Set architectural guardrails that ensure security, scalability, reliability, and customer extensibility.
  • Define and evolve the technical roadmap and target‑state architecture for press‑to‑factory and cloud ecosystem integrations.
  • Serve as the architectural authority to define factory‑level and partner‑facing API standards, contracts, and governance.
  • Partner with internal teams to ensure robust data models, schemas, versioning, and lifecycle management.
  • Lead evaluation and adoption of industry standards and emerging opportunities.
  • Explore, prototype, and validate AI‑enabled use cases leveraging press and factory data.
  • Engage directly with customers and partners for technical escalations, integration strategy alignment, early adopter and pilot engagements.
  • Leverage domain expertise, business acumen, and data systems leadership to influence decisions of executive business leadership, development partners, and industry standards groups.
  • Build and manage relationships throughout the Industrial Print organization.
  • Establish scalable, efficient, and automated processes for large‑scale data analyses, model development, validation, and implementation.
  • Provide guidance and mentoring to less experienced staff members.
Education & Experience Required
  • Four‑year or graduate Degree in Computer Science, Software Engineering, Statistics/Mathematics, or related discipline, or commensurate work experience or demonstrated competence.
  • Typically 10+ years of experience designing and delivering high‑performance industrial software, data engineering, cloud platforms, or a related field.
  • Experience in industrial automation, smart manufacturing, IIoT, robotics, or factory software ecosystems is appreciated.
  • Hands‑on experience with applied AI/ML systems, analytics platforms, or data science collaboration.
  • Familiarity with cybersecurity considerations in industrial and cloud‑connected environments.
  • Experience working with external partners, standards bodies, or large enterprise customers.
Desirable Knowledge & Skills
  • Agile Methodology
  • AI Domains for Industrial Applications: computer vision, agentic AI, predictive maintenance, anomaly detection, troubleshooting
  • Amazon Web Services
  • Big Data, Data Analysis, Data Engineering, Data Modeling
  • Digital Twins
  • Hybrid Edge+Cloud Systems
  • Extract Transform Load (ETL)
  • Product Leadership
  • Python (Programming Language)
  • Roadmap Development
  • Scalability
  • SQL (Programming Language)
  • Software Architecture, System Analysis
  • Cross‑Org Skills, Effective Communication, Results Orientation, Learning Agility, Digital Fluency, Customer Centricity, Sound Judgment, Creative Understanding, Impact & Scope
Impact & Scope

Impacts large functions and leads cross‑divisional functional teams or projects. Provides highly innovative solutions to complex problems within established policy.

Disclaimer

This job description describes the general nature and level of work performed in this role. It is not intended to be an exhaustive list of all duties, skills, responsibilities, knowledge, etc. These may be subject to change and additional functions may be assigned as needed by management.

Salary

The pay range for this role is $147,050 to $230,850 USD annually with additional opportunities for pay in the form of bonus and/or equity (applies to United States of America candidates only). Pay varies by work location, job‑related knowledge, skills, and experience.

Benefits
  • Health insurance
  • Dental insurance
  • Vision insurance
  • Long term/short term disability insurance
  • Employee assistance program
  • Flexible spending account
  • Life insurance
  • Generous time off policies, including 4‑12 weeks fully paid parental leave based on tenure
  • 11 paid holidays
  • Additional flexible paid vacation and sick leave (US benefits overview)

The compensation and benefits information is accurate as of the date of this posting. The Company reserves the right to modify this information at any time, with or without notice, subject to applicable law.

Job Details
  • Schedule: Full time
  • No shift premium (United States of America)
  • Travel: None
  • Relocation: Not specified
  • Job Type: Software
Equal Opportunity Employer Statement

HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation, or any other characteristic protected by applicable national, federal, state, and local law(s). Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence. For more information, review HP’s EEO Policy or read about your rights as an applicant under the law here: “Know Your Rights: Workplace Discrimination is Illegal”.

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