1

Executive Data Science Jobs in Oregon (NOW HIRING)

Principal Data Analyst, Growth Marketing

OR · On-site +1

$86K - $107K/yr

Deep expertise in applying analytics and data science techniques to drive impacts in growth and ... Ability to craft executive-ready narratives around complex business or performance topics ...

OR · On-site

Posit is the open-source data science company. We help people understand and improve the world ... Build and nurture strong relationships with Snowflake's sales leadership, account executives, and ...

This role will build on the strong AI and Data Science foundation already in place (based primarily ... Support executive briefings, customer advisory boards, strategic sales conversations, industry ...

... executive business leadership, development partners, and industry standards groups. * Build and ... Four-year or Graduate Degree in Computer Science, Software Engineering, Statistics/ Mathematics, or ...

Senior Risk & Compliance Engineer - Data

OR · Remote

$105K - $143K/yr

... executive leadership, and the board. We're looking for a Senior Risk & Compliance Engineer to help us get there. This is an engineering role with a data science expertise needed. You'll write ...

Senior AI Engineer - SFL Scientific

Portland, OR · On-site

$110K - $152K/yr

Imagine joining an acclaimed team where career paths span from account executives and data scientists to AI strategists, machine learning specialists, and data engineers. SFL Scientific, a Deloitte ...

OR

$79K - $108K/yr

... the executive escalation point for critical partnerships. * Orchestration of Cross-Functional Networks: Lead a high-performing, cross-functional team (BD, Data Science, Product, Marketing) to ...

OR

$130K - $155K/yr

... sales/marketing data science, or a similar function at a B2B software or SaaS company ... Proven ability to translate complex analytical findings into clear executive-facing narratives and ...

Bachelor's Degree (BA/BS) in Data Science, Health Informatics, Statistics, Computer Science, Public ... executive-level reporting. Knowledge of VHA Specialty Care service lines, clinical program ...

Bachelor's Degree (BA/BS) in Data Science, Health Informatics, Statistics, Computer Science, Public ... executive-level reporting. Knowledge of VHA Specialty Care service lines, clinical program ...

From our female founder CEO to every team member, we embrace a fully engaged mindset. We strive for ... As the data science function grows, provide mentorship and technical guidance to junior ...

Overview Strategic Finance is a vital partner to Instacart's executive team, providing insights ... Bachelor's degree in Finance, Accounting, Business, Economics, Data Science, a related field or ...

Senior Product Manager, AI

OR · Remote

$126K - $166K/yr

... data science, design, sales, and marketing to launch and scale products. * Demonstrated ability to build ROI and unit economics models and present business cases to executive audiences. * Experience ...

Showing results 21-40

Executive Data Science information

See Oregon salary details

$28K

$98.9K

$194.5K

How much do executive data science jobs pay per year?

As of Aug 7, 2026, the average yearly pay for executive data science in Oregon is $98,911.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,300.00 and $127,400.00 per year, depending on experience, location, and employer.

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.

What is the role of an executive data scientist?

An executive data scientist leads data science initiatives within an organization, translating complex data insights into strategic decisions. They often oversee teams, communicate findings to stakeholders, and require strong skills in analytics, leadership, and business acumen, along with proficiency in tools like Python, R, or SQL. Their role involves aligning data projects with organizational goals and ensuring impactful results.

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 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.

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 are the most commonly searched types of Data Science jobs in Oregon? The most popular types of Data Science jobs in Oregon are:
What are popular job titles related to Executive Data Science jobs in Oregon? For Executive Data Science jobs in Oregon, the most frequently searched job titles are:
What cities in Oregon are hiring for Executive Data Science jobs? Cities in Oregon with the most Executive Data Science job openings:

Principal Data Analyst, Growth Marketing

Upstart

OR • On-site, Remote

$86K - $107K/yr

Other

Re-posted yesterday


Upstart rating

7.6

Company rating: 7.6 out of 10

Based on 6 frontline employees who took The Breakroom Quiz


Job description

The Team

The Growth Analytics team leverages data and insights to drive profitable business growth by supporting the growth vertical in its mission to increase demand, revenue, and customer lifetime value (LTV) at the most efficient cost of acquisition. The team  drives decision analysis, and develops a deep user understanding across several key marketing channels, including Direct Mail, Partnerships, Email, and Digital.
As a Principal Data Analyst, Growth Marketing at Upstart, you will serve as the lead analytics partner for one of our largest acquisition channels. You will support the digital marketing team supporting work across paid search, paid social, paid video, mobile marketing, and SEO. You will apply advanced analytics and measurement frameworks to equip stakeholders with the insights and data needed to align on and execute strategic initiatives. 

In this role, you will collaborate closely with Growth Marketing, Product, Engineering, and Machine Learning teams to drive deep understanding, actionable insights, and data-informed decision-making. You will also help shape the data infrastructure that supports borrower acquisition and retention across our platform-fueling Upstart's growth at the highest levels.

How you'll make an impact:

  • Partner cross-functionally with channel owners, product, and engineering leaders to set the growth strategy and analytics roadmap across digital channels and products at Upstart
  • Lead the evolution of measurement beyond traditional click-based attribution, incorporating approaches such as marketing mix modeling (MMMs), mobile marketing measurement, and geo-based incrementality testing to develop a more complete view of performance
  • Effectively use analytics to understand user behavior, funnel performance, and the impact of growth investments, and make proactive recommendations to improve efficiency and scale
  • Design and conduct quantitative analyses and experiments to test hypotheses, helping prioritize the highest-impact opportunities across channels and products
  • Collaborate with Analytics Engineering and Engineering to uplevel growth data capabilities, enabling new measurement approaches and accelerating time to insight as the business expands

What we're looking for: 

  • Minimum qualifications:
    • Strong analytical and quantitative background with at least 10+ years professional experience, preferably in marketing, growth or product analytics 
    • Deep expertise in applying analytics and data science techniques  to drive impacts in growth and marketing organizations, such as attribution models, customer lifetime values, ROI frameworks, a/b testing, etc. 
    • Proven track record designing and interpreting incrementality experiments, geo-lift tests, or  MMM-based growth measurement
    • Proficiency in data analysis tools (SQL, Python / R, Looker / Mode / Tableau, etc.)
    • Degree in Analytics, Data Science, Economics, Engineering, Mathematics or other quantitative field
    • Strong communication and analytical storytelling skills, experience deriving actionable insights from analysis, a well-balanced rigorous and creative approach to solving difficult and unstructured problems
  • Preferred qualifications:
    • Experience in technology, marketplace, fintech companies with knowledge of consumer financing
    • Ability to craft executive-ready narratives around complex business or performance topics, leveraging visualization and dashboards to successfully influence and drive C-level decision-making
    • Experience in coaching and mentoring junior team members on technical subjects

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

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.

#LI-REMOTE

#LI-MidSenior 


What Upstart employees say

Pay

Hours and flexibility

Workplace

Get the full story on Breakroom