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

... assist technologies, intelligent routing, operational optimization, forecasting, and emerging ... Define and drive the strategic direction for AI and Data Science capabilities across Customer Care ...

... assist technologies, intelligent routing, operational optimization, forecasting, and emerging ... Define and drive the strategic direction for AI and Data Science capabilities across Customer Care ...

... assist users in creating new documents more efficiently and consistently, and can automatically ... We're now looking for AI, NLP, Machine Learning, Data Science, and Math PhD Interns to work ...

... assist users in creating new documents more efficiently and consistently, and can automatically ... We're now looking for AI, NLP, Machine Learning, Data Science, and Math PhD Interns to work ...

Data Scientist

Bellevue, WA · On-site +1

$112K - $142K/yr

Provide technical data science expertise to assist sales teams to build new business opportunities. * Conduct in-depth research to improve multi-source data quality. Qualifications : * Master ...

What You'll Bring * 1-3 years of relevant professional work experience in Data Science. * A robust ... Learn more about our inclusion and belonging efforts and the networks ZS supports to assist our ...

AI and Data Science Engineer III

Seattle, WA · On-site +1

$130K - $156K/yr

AI and Data Science Engineer III Position Summary Our Deloitte Human Capital team transforms ... knowledge assistants, summarization, and policy question-and-answer solutions using secure ...

Associate Data Scientist

Seattle, WA

$67K - $68K/yr

... and effectively adopted. * Assist in building, validating, and updating forecasting and ... Work closely with the Revenue Science Manager, BI, and ML Ops teams to feed advanced analytics into ...

Associate Data Scientist

Seattle, WA

$67K - $68K/yr

... and effectively adopted. * Assist in building, validating, and updating forecasting and ... Work closely with the Revenue Science Manager, BI, and ML Ops teams to feed advanced analytics into ...

Associate Data Scientist

Seattle, WA · On-site

$67K - $68K/yr

... and effectively adopted. * Assist in building, validating, and updating forecasting and ... Work closely with the Revenue Science Manager, BI, and ML Ops teams to feed advanced analytics into ...

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Data Science Assistant information

What are Data Science Assistants?

Data Science Assistants are professionals who support data scientists and analytics teams by handling tasks such as data collection, data cleaning, preparing datasets, conducting preliminary analyses, and creating visualizations. They often work with large datasets, assist in maintaining data integrity, and help automate routine processes. Their role allows data scientists to focus on more complex modeling and analytical work, making the overall workflow more efficient. Data Science Assistants typically have a foundational understanding of statistics, programming (such as Python or R), and data management tools.

What are the key skills and qualifications needed to thrive as a Data Science Assistant, and why are they important?

To thrive as a Data Science Assistant, you need a solid understanding of statistics, data analysis, and programming (often with a background in mathematics, computer science, or a related field). Familiarity with tools like Python or R, data visualization software, and experience with databases or spreadsheet systems are typically required. Attention to detail, strong problem-solving abilities, and effective communication set outstanding candidates apart. These skills are crucial for supporting data-driven decision-making and ensuring accurate, actionable insights for organizations.

How does a Data Science Assistant typically collaborate with data scientists and other team members on projects?

As a Data Science Assistant, you will frequently support data scientists by preparing datasets, conducting preliminary data analysis, and creating visualizations. You will often work closely with analysts, engineers, and subject matter experts to gather requirements and ensure data is cleaned and formatted appropriately. Collaboration is a key part of the role, as you may participate in team meetings, share findings, and help with documentation to keep projects running smoothly. This supportive environment provides an excellent opportunity to learn from experienced professionals and gain exposure to the full data science workflow.

What is the difference between Data Science Assistant vs Data Analyst?

AspectData Science AssistantData Analyst
Required CredentialsBachelor's in Data Science, Statistics, or related fieldBachelor's in Statistics, Mathematics, or related field
Work EnvironmentTech companies, research labs, data-driven departmentsBusiness, finance, marketing, healthcare sectors
Employer & Industry UsageUsed in data science teams for supporting models and analysisUsed across industries for interpreting data and generating reports

While both roles involve working with data, a Data Science Assistant typically supports data science projects, focusing on data preparation and model testing. A Data Analyst primarily interprets data to generate insights and reports. The roles overlap in skills and work environments but differ in their core responsibilities and focus areas.

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 Data Science Assistant jobs in Seattle, WA look for? The top searched job categories for Data Science Assistant jobs in Seattle, WA are:
Associate Director, Data Science

Associate Director, Data Science

Chewy

Bellevue, WA

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 20 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