ZipRecruiter

Log In

1

Implementation Science Jobs in Seattle, WA (NOW HIRING)

Meta

Data Science Director (IC)

Bellevue, WA · On-site

$253K/yr

We are seeking a Data Science Director IC who is passionate about developing, measuring, and ... Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment ...

Amazon

Applied Scientist, TSI - Science

Seattle, WA · On-site

We are looking for skilled scientists capable of putting theory into practice through experimentation and invention, leveraging science techniques and implementing systems to work on massive datasets ...

previous page

Showing results 41-60

All JobsImplementation Science JobsImplementation Science Jobs in Seattle, WA

Implementation Science information

See Seattle, WA salary details

$44.4K

$117.8K

$191.2K

How much do implementation science jobs pay per year?

As of Sep 9, 2026, the average yearly pay for implementation science in Seattle, WA is $117,807.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,900.00 and $137,700.00 per year, depending on experience, location, and employer.

What is implementation science?

An Implementation Science job focuses on studying and applying methods to promote the adoption, integration, and sustainability of evidence-based practices in real-world settings. Professionals in this field work to bridge the gap between research and practical application by identifying barriers, developing strategies, and evaluating outcomes. These roles are common in healthcare, public health, and social services, where improving effectiveness and efficiency of interventions is critical. Responsibilities may include research, program evaluation, stakeholder engagement, and policy development.

What does an implementation science professional do?

Professionals in Implementation Science commonly design, manage, and evaluate projects that translate research findings into practice across healthcare or community settings. This could include collaborating with clinical teams to pilot new interventions, conducting data analysis to assess outcomes, and producing reports or recommendations for stakeholders. Daily tasks often involve coordinating with multidisciplinary teams, leading training sessions, and ensuring ongoing fidelity to evidence-based models. The role emphasizes both independent research and teamwork, making it dynamic and impactful for those interested in improving systems and outcomes.

What are the key skills and qualifications needed for implementation science?

To excel in Implementation Science, a solid background in research methodology, data analysis, and health systems is generally required, often supported by an advanced degree in public health, medicine, or a related field. Experience with statistical software (such as SPSS, R, or SAS), implementation frameworks (like RE-AIM or CFIR), and relevant certifications in evidence-based practice are beneficial. Strong project management, collaboration, and stakeholder engagement skills help set top candidates apart. These skills and qualities enable professionals to effectively translate research into practical interventions and drive sustainable improvements in real-world settings.

How much do implementation scientists make?

Implementation scientists typically earn a median annual salary between $70,000 and $100,000, depending on experience, education, and location. Senior roles or those with specialized skills in research methods and data analysis can earn higher salaries, often exceeding $120,000. Salaries may also vary based on whether they work in academia, healthcare, or government settings.

What are the most commonly searched types of Implementation Science jobs in Seattle, WA?

The most popular types of Implementation Science jobs in Seattle, WA are:

What are popular job titles related to Implementation Science jobs in Seattle, WA?

For Implementation Science jobs in Seattle, WA, the most frequently searched job titles are:

What job categories do people searching Implementation Science jobs in Seattle, WA look for?

The top searched job categories for Implementation Science jobs in Seattle, WA are:

What cities near Seattle, WA are hiring for Implementation Science jobs?

Cities near Seattle, WA with the most Implementation Science job openings:

Implementation Science jobs near you
Infographic showing various Implementation Science job openings in Seattle, WA as of September 2026, with employment types broken down into 72% Full Time, 14% Part Time, and 14% Temporary. Highlights an 100% In-person job distribution, with an average salary of $117,807 per year, or $56.6 per hour.

Data Science Director (IC)

Bellevue, WA • On-site

Meta
Internet and IT • 10K+ employees
Learn more about Metaexternal

$253K/yr

Full-time

Re-posted 24 days ago

Key responsibilities

  • Collaborate with Engineering, Product, and cross-functional teams to inform, influence, support, and execute strategy and investment decisions for the Ads AI space

  • Contribute to the long-term technical vision and strategy for analytics methods and metrics to enhance the quality and efficiency of Ads AI at scale

  • Work with engineering and other data scientists to build and improve AI development, automation, experimentation, and measurement methods and metrics, ensuring high-quality throughput and impact

Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

139th of 247 rated software companies

Job description

We are seeking a Data Science Director IC who is passionate about developing, measuring, and strategizing investments in the Monetization Ranking AI space. Our Monetization AI system utilizes state-of-the-art Machine Learning/AI to ensure every ad impression is meaningful. It is central to the entire ads experience we offer to users and advertisers and generates the vast majority of Meta’s revenue. The mission of this role is to drive data-informed decisions and shape the long-term strategic direction and operational model of the Monetization AI Ranking space in an IC capacity.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-scale AI development, measurement, and data product management, and will be enthusiastic about cutting-edge AI advancements. They should have a proven ability to influence executives through their data, framing, technical, and communication skills.
Data Science Director (IC) Responsibilities:
  • Collaborate with Engineering, Product, and cross-functional teams to inform, influence, support, and execute strategy and investment decisions for the Ads AI space
  • Contribute to the long-term technical vision and strategy for analytics methods and metrics to enhance the quality and efficiency of Ads AI at scale
  • Work with engineering and other data scientists to build and improve AI development, automation, experimentation, and measurement methods and metrics, ensuring high-quality throughput and impact
  • Develop an understanding of complex, large-scale AI development, experimentation, and measurement systems, as well as broader industry challenges, to identify current and future risks and opportunities
  • Inspire and lead a team of data scientists and managers across multiple teams in close collaboration with other Data Science Directors and Managers

Minimum Qualifications:
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • 10+ years of experience in analytics and data science, leading analytics work in IC capacity, working collaboratively with Engineering and cross-functional partners, and guiding data-influenced product planning, prioritization and strategy development
  • Experience working effectively with multiple stakeholders and cross-functional teams, including Engineering, PM/TPM, Analytics and Finance
  • Experience framing and communication skills

Preferred Qualifications:
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Masters or Ph.D. Degree in a quantitative field
  • Experience with predictive modeling, machine learning, and experimentation/causal inference methods
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies

About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$253,000/year to $314,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

What Meta employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply