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Statistical Programmer Jobs in Seattle, WA (NOW HIRING)

Chewy

Associate Director, Data Science

Bellevue, WA · On-site

D.) in Data Science, Computer Science, Statistics, Engineering, or a related quantitative field. * 8+ years of experience in Data Science, Machine Learning, Advanced Analytics, or related technical ...

SynergisticIT

Junior ML Engineer

Everett, WA

... Statistics, Computer Science or Engineering or candidates with gaps in their career or people wanting to switch careers into tech. Synergisticit is committed to supporting your journey! Preferred ...

Factspan Inc

Machine Learning Engineer

Seattle, WA · On-site

Hands on expertise in Machine Learning models using R/Python, SQL, well versed in statistical ... Proficient in JAVA & Python programming * Understanding of topic modelling, supervised ...

Service Global, Inc

Systems Engineer V

Redmond, WA · On-site

$80 - $85/hr

Experience in statistical methods for data analytics * Experience as manufacturing engineer Conversational in Chinese (Mandarin) Mandatory Skills BSc/MSc/PhD in Physics, Mathematics, Aerospace ...

Service Global, Inc

Systems Engineer V

Redmond, WA · On-site

$80 - $85/hr

Experience in statistical methods for data analytics Experience as manufacturing engineer Conversational in Chinese (Mandarin) Mandatory Skills BSc/MSc/PhD in Physics, Mathematics, Aerospace ...

IUNU

Applied Machine Learning Engineer

Seattle, WA · On-site

To do this job successfully, you need exceptional skills in statistics and programming. If you also have knowledge of data science and software engineering, we'd like to meet you. Your ultimate goal ...

Epitec

Test Engineer III

Redmond, WA · On-site

$82/hr

Analyze test data, perform statistical analysis, and identify trends or anomalies * Debug test ... Partner with engineering teams to define test requirements and improve product quality * Provide ...

IUNU

Applied Machine Learning Engineer

Seattle, WA · On-site

To do this job successfully, you need exceptional skills in statistics and programming. If you also have knowledge of data science and software engineering, we'd like to meet you. Your ultimate goal ...

SynergisticIT

Junior ML/AI Engineer

Bellevue, WA · On-site

... Statistics, Computer Science or Engineering or candidates with gaps in their career or people wanting to switch careers into tech. SynergisticIT is committed to supporting your journey! Preferred ...

Amazon

Business Intel Engineer II - AMZ27162.1

Seattle, WA · On-site

$106K - $160K/yr

Position: Business Intel Engineer II - AMZ27162.1 Location: Seattle, WA Multiple Positions ... Perform statistical analysis, including clustering, crosssession and panel data regression using R ...

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Showing results 1-20

All JobsStatistical Programmer JobsStatistical Programmer Jobs in Seattle, WA

Statistical Programmer information

See Seattle, WA salary details

$96.2K

$167.6K

$283.4K

How much do statistical programmer jobs pay per year?

As of Jun 12, 2026, the average yearly pay for statistical programmer in Seattle, WA is $167,622.00, according to ZipRecruiter salary data. Most workers in this role earn between $142,300.00 and $182,100.00 per year, depending on experience, location, and employer.

What are statistical programmers?

Statistical programmers are professionals who use statistical software and programming languages, such as SAS, R, or Python, to manage, analyze, and report data, often in clinical trials, public health, or research settings. They play a crucial role in transforming raw data into meaningful results by writing code for data cleaning, data manipulation, statistical analysis, and generating reports. Statistical programmers often work closely with statisticians, data managers, and researchers to ensure the accuracy and integrity of data analyses. Their work is essential in industries like pharmaceuticals, healthcare, and academia.

Are SAS Programmers in demand?

SAS Programmers are in demand in industries such as pharmaceuticals, healthcare, and finance, where data analysis and regulatory reporting are critical. Skills in SAS, along with knowledge of data management and statistical analysis, increase employability, especially for roles requiring compliance with industry standards. The demand for SAS programmers remains steady due to ongoing needs for data-driven decision-making and regulatory submissions.

What Does a Statistical Programmer Do?

A statistical programmer creates statistical programming deliverables. You ensure excellent programming of analysis-ready data, tables, and figures. You may use Stata for general purpose statistical analysis or SPSS for interactive or batched statistical analysis. Your responsibilities include developing standard operating procedures and complying with guidelines. Other duties include remaining informed on developments in programming standards and meeting all regulatory requirements. You also create PROC statements that call upon named procedures for analysis. You develop programs for dataset integration, prepare resource plans, and assist with quality control of datasets.

What are some common challenges faced by Statistical Programmers when working on clinical trial data?

Statistical Programmers often encounter challenges such as managing large, complex datasets, ensuring data integrity, and adhering strictly to regulatory standards (like CDISC SDTM and ADaM). They must also collaborate closely with biostatisticians and data managers to accurately translate statistical analysis plans into code. Tight project timelines and shifting priorities can require strong organizational skills and adaptability. Effective communication and attention to detail are essential for navigating these challenges and delivering reliable results.

How much does a statistical programmer earn?

The average salary for a statistical programmer typically ranges from $70,000 to $110,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in SAS, R, or Python may earn higher compensation, often exceeding $120,000 per year.

What is SAS developer salary?

The salary for a SAS developer typically ranges from $70,000 to $120,000 annually, depending on experience, location, and industry. Skilled SAS programmers with certifications and knowledge of data management tools often earn higher salaries, especially in pharmaceutical, healthcare, and finance sectors.

What does a statistical programmer do?

A statistical programmer develops and maintains code to analyze clinical trial data, often using programming languages like SAS, R, or Python. They prepare datasets, generate reports, and ensure data accuracy for regulatory submissions, working closely with statisticians and data managers in a regulated environment.

What are the key skills and qualifications needed to thrive as a Statistical Programmer, and why are they important?

To thrive as a Statistical Programmer, you need a strong background in statistics, data analysis, and programming—typically with a degree in statistics, mathematics, computer science, or a related field. Expertise in statistical software such as SAS, R, or Python and familiarity with data management systems like CDISC or SQL are often required, along with relevant certifications. Strong problem-solving abilities, attention to detail, and clear communication skills help you interpret data accurately and collaborate effectively with cross-functional teams. These skills ensure the delivery of high-quality, reproducible statistical analyses crucial for informed decision-making in research and industry settings.

What is the difference between Statistical Programmer vs Data Analyst?

AspectStatistical ProgrammerData Analyst
Required CredentialsBachelor's in Statistics, Biostatistics, or related field; experience with SAS, R, or PythonBachelor's in Statistics, Data Science, or related field; proficiency in Excel, SQL, and visualization tools
Work EnvironmentPharmaceutical, clinical research, or healthcare industries; focus on programming and data managementVarious industries including finance, marketing, healthcare; focus on data interpretation and reporting
Employer & Industry UsageCommon in clinical trials, biotech, pharma companiesUsed across multiple sectors like finance, retail, and healthcare

While both roles handle data, Statistical Programmers primarily focus on programming and managing clinical or research data, whereas Data Analysts interpret data to generate insights across various industries. The roles often overlap in skills like statistical software proficiency but differ in their core responsibilities and industry focus.

More about Statistical Programmer jobs
What are the most commonly searched types of Statistical Programmer jobs in Seattle, WA? The most popular types of Statistical Programmer jobs in Seattle, WA are:
What are popular job titles related to Statistical Programmer jobs in Seattle, WA? For Statistical Programmer jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Statistical Programmer jobs in Seattle, WA look for? The top searched job categories for Statistical Programmer jobs in Seattle, WA are:
What cities near Seattle, WA are hiring for Statistical Programmer jobs? Cities near Seattle, WA with the most Statistical Programmer job openings:
Statistical Programmer jobs near you
Infographic showing various Statistical Programmer job openings in Seattle, WA as of June 2026, with employment types broken down into 83% Full Time, and 17% Contract. Highlights an 96% In-person, and 4% Remote job distribution, with an average salary of $167,622 per year, or $80.6 per hour.
Associate Director, Data Science

Associate Director, Data Science

Chewy

Bellevue, WA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 11 days ago

Chewy rating

6.9

Company rating: 6.9 out of 10

Based on 216 frontline employees who took The Breakroom Quiz

9th of 39 rated national retailers

Job description

Job Description:
Your Opportunity
Chewy is seeking an innovative and strategic Associate Director, Data Science to lead our growing Customer Care AI and Advanced Analytics organization. In this role, you will lead a high-performing team of Data Scientists and Machine Learning Engineers while driving the vision, strategy, and execution of AI and machine learning capabilities across Customer Care.
This leader will oversee a broad portfolio of initiatives spanning customer-facing AI experiences, agent-assist technologies, intelligent routing, operational optimization, forecasting, and emerging generative AI applications. You will partner closely with Product, Engineering, Operations, Data Platforms, and executive leadership to deliver scalable, data-driven solutions that improve customer experience, increase operational efficiency, and accelerate business impact.
The ideal candidate combines strong technical depth with strategic thinking, organizational leadership, and operational excellence. You are comfortable navigating ambiguity, balancing short-term execution with long-term direction, and influencing decisions across multiple teams and senior stakeholders. This is a hands-on leadership role that requires the ability to guide complex initiatives from concept through production while establishing scalable frameworks, standards, and best practices across the organization.
If you are passionate about building high-performing teams, solving complex business problems through AI and advanced analytics, and shaping the future of customer experience at scale, we'd love to talk with you.
What You'll Do
  • Define and drive the strategic direction for AI and Data Science capabilities across Customer Care, leading a diverse portfolio of initiatives spanning customer experience, agent productivity, intelligent routing, operational optimization, forecasting, and generative AI.
  • Lead and scale high-performing teams of Data Scientists and Machine Learning Engineers, fostering a culture of technical excellence, innovation, accountability, and continuous learning.
  • Drive prioritization and execution across multiple workstreams, balancing long-term strategic investments with near-term business impact.
  • Partner with senior leaders across Product, Engineering, Operations, Workforce Management, Finance, and Data Platforms to identify opportunities, influence roadmaps, and align technical solutions with organizational goals.
  • Lead the development and operationalization of scalable machine learning and AI solutions, ensuring reliability, performance, governance, and maintainability across evolving systems and technologies.
  • Establish best practices for experimentation, model validation, deployment, monitoring, MLOps, and continuous improvement to support enterprise-scale AI capabilities.
  • Navigate complex dependencies across real-time systems, traditional machine learning models, and LLM-based architectures while driving scalable and sustainable technical solutions.
  • Influence architectural direction, technical standards, and platform strategy to improve consistency, scalability, and operational efficiency across teams and use cases.
  • Communicate complex technical concepts, business insights, trade-offs, and recommendations effectively to executive and non-technical stakeholders.
  • Build organizational capability by mentoring senior technical talent, developing future leaders, and creating scalable operating mechanisms that enable team growth and execution excellence.
  • Stay ahead of emerging trends in AI, machine learning, NLP, and generative AI, evaluating opportunities to create competitive advantage and measurable business value for Chewy.

What You'll Need
  • Master's degree (or Ph.D.) in Data Science, Computer Science, Statistics, Engineering, or a related quantitative field.
  • 8+ years of experience in Data Science, Machine Learning, Advanced Analytics, or related technical fields, including multiple years leading and scaling technical teams.
  • Proven experience driving large-scale AI/ML initiatives from concept through production in complex, cross-functional environments.
  • Demonstrated success leading teams across multiple domains or portfolios while influencing organizational strategy and business outcomes.
  • Deep expertise in machine learning, statistical modeling, experimentation, optimization, NLP, LLMs, and generative AI applications.
  • Strong understanding of scalable ML systems, MLOps, CI/CD pipelines, model governance, and operational best practices.
  • Experience partnering across Product, Engineering, Operations, and executive leadership to drive prioritization, alignment, and delivery.
  • Strong programming experience in Python or R, with proficiency in SQL and modern data/ML ecosystems.
  • Experience with cloud platforms and large-scale data technologies such as Spark, dbt, Iceberg, Redshift, Athena, or similar tools.
  • Exceptional communication, organizational, and stakeholder management skills, with the ability to translate complex technical concepts into strategic business recommendations.
  • Proven ability to navigate ambiguity, influence decision-making, and balance competing priorities in a fast-paced environment.

Nice to Have
  • Experience in customer care, contact center, workforce optimization, or operational analytics environments.
  • Experience with recommendation systems, graph-based modeling, optimization, or real-time decisioning systems.
  • Previous experience in retail, e-commerce, or high-growth technology organizations.
  • Experience building and scaling AI platforms or enterprise-wide machine learning capabilities.

The base salary range for this role is $186,500 - $265,000.00.
  • The specific salary offered to a candidate may be influenced by a variety of factors including but not limited to the candidate's relevant experience, education, and work location. In addition, this position is eligible for 401k and a new hire and annual equity grant. C08+ positions may also be eligible for annual bonus.

We offer different types of insurance and benefits, such as medical/Rx, vision, dental, life, disability, hospital indemnity, critical illness, and accident. We offer parental leave, family services benefits, backup dependent care, flexible spending accounts, telemedicine, pet adoption reimbursement, employee assistance program, and many discounts including 10% off pet insurance and 20% off at Chewy.com.
Exempt salary team members have unlimited PTO, subject to manager approval. Team members will receive six paid holidays per year. Team members may be eligible for paid sick and family leave in compliance with applicable state and local regulations.
Chewy is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, gender, citizenship, marital status, religion, age, disability, gender identity, results of genetic testing, veteran status, as well as any other legally-protected characteristic. If you have a disability under the Americans with Disabilities Act or similar law, and you need an accommodation during the application process or to perform these job requirements, or if you need a religious accommodation, please contact CAAR@chewy.com.
To access Chewy's California CPRA Job Applicant Privacy Policy, please click here.

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About Chewy

Sourced by ZipRecruiter

Chewy is a prominent player in the e-commerce industry, specifically dedicated to pet owners. Based in Dania Beach, Florida, the company was founded in 2011 with the aim to make pet shopping easier and more convenient. Chewy offers a wide range of products including pet food, toys, and other pet-related essentials from over 1,000 trusted brands, along with prescription food and medications from certified veterinarians. The company stands out for its dedication to providing 24/7 customer service and shipping orders over $49 for free. Chewy's mission is to be the most trusted and convenient online destination for pet parents everywhere by committed to delivering pet happiness.

Industry

Retail

Company size

10,000+ Employees

Headquarters location

Plantation, FL, US

Year founded

2011

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