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Executive Data Science Jobs in Seattle, WA (NOW HIRING)

Partner with senior executives, insurance business leaders, and cross-functional teams to define project scope, integrate data science across the organization, and deliver measurable results.

Partner with senior executives, insurance business leaders, and cross-functional teams to define project scope, integrate data science across the organization, and deliver measurable results.

Communicate complex technical concepts to non-technical audiences and executive leadership. * Stay current with industry trends and emerging technologies in data science and AI. Qualifications

Director- Data Science

Bellevue, WA · On-site

$156K - $312K/yr

Communicate complex technical concepts to non-technical audiences and executive leadership. * Stay current with industry trends and emerging technologies in data science and AI. Qualifications

Director, Data Science

Bellevue, WA · On-site

$156K - $312K/yr

Communicate complex technical concepts to non-technical audiences and executive leadership * Stay current with industry trends and emerging technologies in data science and AI. What you'll bring ...

Communicate complex technical concepts to non-technical audiences and executive leadership * Stay current with industry trends and emerging technologies in data science and AI. What you'll bring ...

The Data Science Director will collaborate with Engineering and Product executives across Meta Ads and the Family of Apps Monetization teams. The candidate will have extensive experience in large ...

The Director, Data Science provides strategic and operational leadership for MCG's Data Science ... Working closely with Product, Engineering, Clinical, and executive leadership, the Director ...

Executive translation. Translate complex data science findings into clear, actionable narratives for the CEO, C-suite, and Board of Directors -- ensuring data science insights directly inform the ...

Help shape the Data Science and Applied AI roadmap, identifying where predictive modeling ... Can communicate clearly with technical, operational, and executive audiences. * Have a bias toward ...

The Director, Data Science provides strategic and operational leadership for MCG's Data Science ... Working closely with Product, Engineering, Clinical, and executive leadership, the Director ...

... executive level stakeholders or clients - Masters Degree in Data Science or related field - Experience with generative AI, large language models, and agentic AI systems Amazon is an equal opportunity ...

Communicate recommendations to executives in ways that drive action * Translate complexity into ... Lead, develop, and mentor a team of data scientists, building capability in statistical methods and ...

... executive leadership to optimize marketing effectiveness. Director, Marketing Data Science ... Responsibilities: * Lead Measurement & Analytics: Oversee the measurement of campaigns, including ...

... executive leadership to optimize marketing effectiveness. Director, Marketing Data Science ... Responsibilities: * Lead Measurement & Analytics: Oversee the measurement of campaigns, including ...

... executive and board-level reporting * Partner with data engineering and analytics teams to shape semantic models, data products, and feature stores that enable robust, reusable decision science ...

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Showing results 1-20

Executive Data Science information

See Seattle, WA salary details

$30.2K

$106.5K

$209.4K

How much do executive data science jobs pay per year?

As of Jul 29, 2026, the average yearly pay for executive data science in Seattle, WA is $106,465.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,000.00 and $137,100.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Executive Data Scientist, and why are they important?

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 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 Seattle, WA? The most popular types of Data Science jobs in Seattle, WA are:
What job categories do people searching Executive Data Science jobs in Seattle, WA look for? The top searched job categories for Executive Data Science jobs in Seattle, WA are:
Infographic showing various Executive Data Science job openings in Seattle, WA as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, 1% Temporary, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $106,465 per year, or $51.2 per hour.
Head of Data Science

Head of Data Science

Porch.com, Inc.

Seattle, WA • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 29 days ago


Job description

Porch Group is a leading vertical software and insurance platform and is positioned to be the best partner to help homebuyers move, maintain, and fully protect their homes. We offer differentiated products and services, with homeowners insurance at the center of this relationship. We differentiate and look to win in the massive and growing homeowners insurance opportunity by 1) providing the best services for homebuyers, 2) led by advantaged underwriting in insurance, 3) to protect the whole home.
As a leader in the home services software-as-a-service ("SaaS") space, we've built deep relationships with approximately 30 thousand companies that are key to the home-buying transaction, such as home inspectors, mortgage companies, and title companies.
In 2020, Porch Group rang the Nasdaq bell and began trading under the ticker symbol PRCH. We are looking to build a truly great company and are JUST GETTING STARTED.
Job Title: Head of Data Science
Location: United States
Workplace Type: Remote
Job Summary
The future is bright for the Porch Group, and we'd love for you to be a part of it as our Head of Data Science.
Porch Group is looking for a transformative Head of Data Science to lead our data science strategy at the intersection of insurance, technology, and home services. This senior leadership role sits at the heart of our insurance business, driving how we understand risk, optimize pricing, and leverage Porch's unique property data to create durable competitive advantages. You will build and guide a high-performing team of data scientists and machine learning engineers, partnering closely with senior executives and insurance business leaders to deliver measurable impact. As we scale our homeowners insurance platform, your work will directly shape our underwriting edge, fuel premium growth, and maximize shareholder value. If you are energized by high-velocity problem solving, cutting-edge AI, and the opportunity to define the data science function at a publicly traded insurtech, this role is for you.
What You Will Do As A Head of Data Science
  • Define, execute, and lead the data science strategy in alignment with the company's vision, goals, and objectives-establishing initiatives that drive premium growth, improve retention, enhance customer satisfaction, and maximize shareholder value.
  • Provide direction and guidance to a high-performing data science team; recruit, mentor, and develop data scientists and machine learning engineers while fostering a culture of innovation, continuous improvement, and technical excellence.
  • Embed AI-first thinking and hands-on AI tool adoption as a standard across the team, ensuring the organization remains at the forefront of applied machine learning and LLM-based capabilities.
  • Partner with senior executives, insurance business leaders, and cross-functional teams to define project scope, integrate data science across the organization, and deliver measurable results.
  • Manage the data science budget, establish project timelines, and define KPIs and metrics to assess the impact and effectiveness of data science initiatives.
  • Dive into operational data to identify opportunities to improve fidelity, accuracy, and accessibility; design and implement A/B tests and experiments to measure the impact of models and business tactics.
  • Own the data science technical roadmap and heavily influence data engineering and analytics roadmaps through regular collaboration with engineering and business stakeholders.

What You Will Bring As A Head of Data Science
  • 12+ years of experience in data science, applied statistics, actuarial science, machine learning, or econometrics at the industry level (or 15+ years combining academia and industry).
  • Strong technical data science skills including hands-on experience in statistical modeling, A/B testing, data pipeline architecture, working knowledge of modern LLM APIs, MLOps tooling, and cloud-native AI infrastructure.
  • Demonstrated ability to lead and inspire a team, with a track record of building high-performing organizations and fostering cultures of innovation and technical excellence.
  • Excellent communication skills with the ability to convey complex technical results to non-technical stakeholders, including senior executives and board-level audiences.
  • Highly analytical with strong intellectual curiosity and a drive to apply new modeling methods to optimize business performance.
  • Significant experience with data science technology stacks and the end-to-end process of taking models from development to production.
  • A can-do, problem-solver mindset-optimistic about the ability to tackle hard problems and consistently deliver.
  • Preferred: PhD in a technical discipline.
  • Preferred: 5+ years of experience in the homeowners insurance industry.

The application window for this position is anticipated to close in 2 weeks (10 business days) from 06/30/2026. Please know this may change based on business and interviewing needs.
At this time, Porch Group does not consider applicants from the following states or jurisdictions for Remote positions: Alaska, Delaware, Hawaii, Mississippi, Nebraska, Montana, New Hampshire, West Virginia, or the District of Columbia.
What You Will Get As A Porch Group Team Member
Pay Range*: $206,300 - $288,800 annually
*Please know your actual pay at Porch will reflect a number of factors among which are your work experience and skillsets, job-related knowledge, alignment with market and our Porch employees, as well as your geographic location.
Additionally, you will be eligible to receive long-term incentive awards, subject to program guidelines and approvals.
You will also be eligible to receive an annual bonus based on individual and company performance, subject to program guidelines and approvals.
Our benefits package will provide you with comprehensive coverage for your health, life, and financial wellbeing.
  • Our traditional healthcare benefits include three (3) Medical plan options, two (2) Dental plan options, and a Vision plan from which to choose.
  • Critical Illness, Hospital Indemnity and Accident plans are offered on a voluntary basis.
  • We offer pre-tax savings options including a partially employer funded Health Savings Account and employee Flexible Savings Accounts including healthcare, dependent care, and transportation savings options.
  • We provide company paid Basic Life and AD&D, Short and Long-Term Disability benefits. We also offer Voluntary Life and AD&D plans.
  • Both traditional and Roth 401(k) plans are available with a discretionary employer match.
  • Supportlinc is part of our employer paid wellbeing program and provides employees and their families access to on demand guided meditation and mindfulness exercises, mental health coaching, clinical care and online access to confidential resources including will preparation.
  • LifeBalance is a free resource to employees and their families for year-round discounts on things like gym memberships, travel, appliances, movies, pet insurance and more.
  • Our wellness programs include flexible paid vacation, company-paid holidays of typically nine per year, paid sick time, paid parental leave, identity theft program, travel assistance, and fitness and other discounts programs.

#LI-NH1
#LI-Remote
What's next?
Submit your application and our Porch Group Talent Acquisition team will be reviewing your application shortly! If your resume gets us intrigued, we will look to connect with you for a chat to learn more about your background, and then possibly invite you to have virtual interviews. What's important to call out is that we want to make sure not only that you're the right person for us, but also that we're the right next step for you, so come prepared with all the questions you have!
Porch is committed to building an inclusive culture of belonging that not only embraces the diversity of our people but also reflects the diversity of the communities in which we work and the customers we serve. We know that the happiest and highest performing teams include people with diverse perspectives that encourage new ways of solving problems, so we strive to attract and develop talent from all backgrounds and create workplaces where everyone feels seen, heard and empowered to bring their full, authentic selves to work.
Porch is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex including sexual orientation and gender identity, national origin, disability, protected veteran status, or any other characteristic protected by applicable laws, regulations, and ordinances.
Porch Group is an E-Verify employer. E-Verify is a web-based system that allows an employer to determine an employee's eligibility to work in the US using information reported on an employee's Form I-9. The E-Verify system confirms eligibility with both the Social Security Administration (SSA) and Department of Homeland Security (DHS). For more information, please go to the USCIS E-Verify website.