ZipRecruiter

Log In

1

Implementation Science Jobs in Seattle, WA (NOW HIRING)

Walmart

Director, Data Science

Bellevue, WA · On-site

$156K - $312K/yr

... implementation & monitoring. * Experience with delivering very large models through the MLOps life ... Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science ...

iSpot

Data Science Intern

Bellevue, WA · Hybrid

$35/hr

The Research Data Science team builds innovative solutions for iSpot's audience measures ... Work with our Engineering teams to design and implement efficient data pipelines to collect ...

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 ...

SystImmune, Inc

Senior Scientist, Cell Science

Redmond, WA · On-site

$90K - $140K/yr

... the Cell Science Department is responsible for the development and optimization of CHO-based ... Prepare process transfer documents and cGMP documentation to support the successful implementation ...

Systimmune

Senior Scientist, Cell Science

Redmond, WA · On-site

$90K - $140K/yr

... the Cell Science Department is responsible for the development and optimization of CHO-based ... Prepare process transfer documents and cGMP documentation to support the successful implementation ...

Walmart

Director, Data Science

Bellevue, WA · On-site

$169K - $338K/yr

This role oversees the design, testing, and implementation of machine learning solutions, ensuring ... The Data Science team leads advanced analytics and machine learning initiatives to deliver ...

next page

Showing results 1-20

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 Jul 14, 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 an Implementation Science job?

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 scientist do?

An implementation scientist studies how to effectively integrate research findings into healthcare, public health, or social services. They analyze barriers and facilitators to adopting evidence-based practices, often using frameworks and data analysis tools to improve program outcomes. Their work supports translating research into real-world applications to enhance service delivery.

What jobs pay 4000 a week without a degree?

Implementation Science is a field focused on applying research to improve healthcare practices and policies, and typically requires advanced education. Jobs that pay around $4,000 a week without a degree are often in skilled trades, sales, or entrepreneurship, such as commercial pilots, real estate brokers, or certain sales managers, which rely on experience, certifications, or licenses rather than formal degrees.

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.

How to get into implementation science?

To enter implementation science, candidates typically need a background in public health, healthcare, or social sciences, along with skills in research methods, data analysis, and program evaluation. Gaining relevant experience through internships, certifications, or advanced degrees such as a master's or PhD in related fields can improve job prospects. Familiarity with implementation frameworks and tools like qualitative and quantitative research methods is also beneficial.

What are typical projects or day-to-day responsibilities in an Implementation Science role?

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 to thrive in the Implementation Science position, and why are they important?

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.

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 July 2026, with employment types broken down into 92% Full Time, and 8% Part Time. Highlights an 85% In-person, and 15% Remote job distribution, with an average salary of $117,807 per year, or $56.6 per hour.
Director, Data Science

Director, Data Science

Walmart

Bellevue, WA • On-site

$156K - $312K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted yesterday

Walmart rating

6.0

Company rating: 6.0 out of 10

Based on 22,045 frontline employees who took The Breakroom Quiz

24th of 39 rated national retailers

Job description

Position Summary... What you'll do...As Director, Data Science, you will lead and develop a team that enables Walmart Marketplace. This role is focused on technical and thought leadership, people development and operational process optimization—translating strategy into execution by aligning cross‑functional partners, contributing to marketplace KPIs. 
What you'll do:
  • Very good knowledge of the foundations of machine learning and statistics
  • Experience in building large scale ML systems involving machine learning, supervised and unsupervised and deep learning. 
  • Hands on experience in Computer Visions and NLP. Gen AI, Agentic AI 
  • Lead, mentor and grow a team of data scientists, ML engineers and data analysts dedicated to Marketplace initiatives across seller lifecycle. 
  • Partner with product, engineering, merchandising, and business stakeholders to identify opportunities and align on strategic initiatives. 
  • Partner with other cross location data science teams to ensure continuous development and monitoring of Marketplace ML models.
  • Oversee the end-to-end data science lifecycle: problem scoping, literature review, model design, algorithmic optimization, engineering integration, deployment, monitoring, and impact measurement. 
  • Drive AI innovation in marketplace AI models, including experimentation with new models and algorithms to improve accuracy and efficiency. 
  • Ensure robust model governance, model monitoring, reproducibility, and ethical AI practices. 
  • Communicate complex technical concepts and business impact effectively to technical and non-technical stakeholders, including senior leadership. 
  • 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:
  • 15+ years of experience with full ML development lifecycle.
  • Extensive experience in data science, machine learning algorithms, and advanced analytical modeling techniques.
  • Proficiency in programming languages including Python, SQL, and Java for code development, testing, and deployment.
  • Strong understanding of data strategy, data quality, and data ecosystem management to drive business value.
  • Proven ability to translate complex business requirements into actionable data-driven solutions aligned with strategic objectives.
  • Expertise in data visualization tools and techniques to communicate insights effectively to stakeholders.
  • Demonstrated leadership in mentoring teams, managing projects, and fostering continuous learning and innovation.
  • Experience building machine learning models through all phases of development, from design through training, evaluation, validation, and implementation & monitoring.
  • Experience with delivering very large models through the MLOps life cycle.
  • Experience with generative AI technology stack including prompt engineering, guardrails, advanced RAG, KAG, CAG, and fine-tuning.
  • Extensive hands-on experience of a broad stack of technologies — Python, Huggingface, VectorDB, Tensorflow, Pytorch, ElasticSearch, Azure, etc.
  • Authored research publications in top peer-reviewed conferences (NeurIPS/ICML/ICLR/AAAI), or industry-recognized contribution.

At Walmart, we offer competitive pay as well as performance-based bonus awards and other great benefits for a happier mind, body, and wallet. Health benefits include medical, vision and dental coverage. Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting. Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more. You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable. For information about PTO, see https://one.walmart.com/notices. Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart.
Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms.
For information about benefits and eligibility, see One.Walmart.
The annual salary range for this position is $156,000.00 - $312,000.00 Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include :
- Stock

ㅤ

ㅤ

ㅤ

ㅤ

‎ 

Minimum Qualifications...

Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.

Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 6 years' experience in an analytics related field.
Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 4 years' experience in an analytics related field.
Option 3: 8 years' experience in an analytics or related field Preferred Qualifications...

Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.

Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Supervisory experience, Using open source frameworks (for example, scikit learn, tensorflow, torch), We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly. The ideal candidate would have knowledge of accessibility best practices and join us as we continue to create accessible products and services following Walmart’s accessibility standards and guidelines for supporting an inclusive culture. Primary Location... 10900 Ne 4th St, Bellevue, WA 98004, United States of America Walmart and its subsidiaries are committed to maintaining a drug-free workplace and has a no tolerance policy regarding the use of illegal drugs and alcohol on the job. This policy applies to all employees and aims to create a safe and productive work environment.

What Walmart employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Walmart logo

About Walmart

Sourced by ZipRecruiter

From our humble beginnings as a small discount retailer in Rogers, Ark., Walmart has opened thousands of stores in the U.S. and expanded internationally. Through innovation, we're creating a seamless experience to let customers shop anytime and anywhere online and in stores. We are creating opportunities and bringing value to customers and communities around the globe. Walmart operates approximately 10,500 stores and clubs in 19 countries and eCommerce websites. We employ 2.1 million associates around the world — nearly 1.6 million in the U.S. alone.

Industry

Retail and transportation and warehousing

Company size

10,000+ Employees

Headquarters location

Bentonville, AR, US

Social media

FacebookTwitter

View All Walmart Jobs

Apply