1

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

Provide guidance and mentorship to Associate team members. What You'll Bring * 5 or more years of relevant data science professional work experience; Master's preferred. * A robust academic ...

Data Scientist

Renton, WA · On-site

$104K - $146K/yr

Masters in Data Science, Mathematics/Statistics, Computer Science, or related field preferred. * 5+ years of experience as a Data Analyst or Associate Data Scientist required; previous Data Science ...

New

Data Scientist

Renton, WA

$104K - $146K/yr

Masters in Data Science, Mathematics/Statistics, Computer Science, or related field preferred. * 5+ years of experience as a Data Analyst or Associate Data Scientist required; previous Data Science ...

Mentor and guide junior team members in achieving data science outcomes andhandlemultiple products ... We believe we are best equipped to help our associates, customers and the communities we serve live ...

Managethe continuous improvement of data science and machine learning led initiatives by following ... We believe we are best equipped to help our associates, customers and the communities we serve live ...

Utilize big data analytics and advanced data science techniques to identify trends, patterns, and ... We believe we are best equipped to help our associates, customers and the communities we serve live ...

(USA) Senior, Data Scientist

Bellevue, WA · On-site

$108K - $216K/yr

Utilize big data analytics and advanced data science techniques to identify trends, patterns, and ... We believe we are best equipped to help our associates, customers and the communities we serve live ...

Senior, Data Scientist

Seattle, WA · On-site

$108K - $216K/yr

Extensive experience in data science and advanced statistical methods to develop and validate ... Experience mentoring junior associates and collaborating cross-functionally to deliver impactful ...

Senior, Data Scientist

Federal Way, WA · On-site

$108K - $216K/yr

Extensive experience in data science and advanced statistical methods to develop and validate ... Experience mentoring junior associates and collaborating cross-functionally to deliver impactful ...

Senior, Data Scientist

Lynnwood, WA · On-site

$108K - $216K/yr

Extensive experience in data science and advanced statistical methods to develop and validate ... Experience mentoring junior associates and collaborating cross-functionally to deliver impactful ...

Senior, Data Scientist

Everett, WA · On-site

$108K - $216K/yr

Extensive experience in data science and advanced statistical methods to develop and validate ... Experience mentoring junior associates and collaborating cross-functionally to deliver impactful ...

Senior, Data Scientist

Issaquah, WA · On-site

$108K - $216K/yr

Extensive experience in data science and advanced statistical methods to develop and validate ... Experience mentoring junior associates and collaborating cross-functionally to deliver impactful ...

Senior, Data Scientist

Renton, WA · On-site

$108K - $216K/yr

Extensive experience in data science and advanced statistical methods to develop and validate ... Experience mentoring junior associates and collaborating cross-functionally to deliver impactful ...

next page

Showing results 1-20

Data Science Associate information

See Seattle, WA salary details

$65.4K

$77.4K

$146.8K

How much do data science associate jobs pay per year?

As of Jun 29, 2026, the average yearly pay for data science associate in Seattle, WA is $77,430.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,100.00 and $67,700.00 per year, depending on experience, location, and employer.

How does a Data Science Associate typically collaborate with other departments or teams within an organization?

Data Science Associates frequently work cross-functionally, partnering with teams such as engineering, product management, and business analytics to understand project requirements, share findings, and implement data-driven solutions. Collaboration often involves translating complex data results into actionable insights for non-technical stakeholders, ensuring alignment on project goals and deliverables. This role requires strong communication skills, as associates routinely participate in meetings, present analyses, and gather feedback to refine their models or analyses. Effective teamwork helps ensure that data science initiatives support broader business objectives.

Is 40 too late for data science?

Data Science Associates and other data science roles do not have an age limit; individuals can enter the field at any age. Success depends on acquiring relevant skills such as programming, statistics, and data analysis, which can be learned through online courses, bootcamps, or formal education. Many professionals transition into data science later in their careers and find opportunities based on their experience and skill development.

What can you do with an associate in data science?

A Data Science Associate can analyze data, develop models, and generate insights to support decision-making within organizations. They often work with tools like Python, R, and SQL, and may assist in data cleaning, visualization, and reporting. This role typically requires foundational knowledge of statistics and machine learning techniques.

What are Data Science Associates?

Data Science Associates are early-career professionals who support data-driven projects by collecting, cleaning, analyzing, and interpreting large datasets. They typically work under the guidance of more experienced data scientists and help build predictive models, generate reports, and provide insights to inform business decisions. This role often requires proficiency in programming languages like Python or R, familiarity with statistical methods, and strong problem-solving skills. Data Science Associates play a crucial part in transforming raw data into actionable information for organizations.

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

To thrive as a Data Science Associate, you need strong analytical skills, a solid foundation in statistics and mathematics, and proficiency in programming languages like Python or R, often supported by a degree in data science, computer science, or a related field. Familiarity with machine learning frameworks, data visualization tools, and database systems such as SQL is typically required. Excellent problem-solving abilities, effective communication, and collaboration skills help you translate complex data insights into actionable business strategies. These skills are vital for extracting meaningful value from data and supporting data-driven decision-making within organizations.

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

AspectData Science AssociateData Analyst
Required CredentialsBachelor's degree in Data Science, Statistics, or related field; some roles prefer certifications in data analysis or programmingBachelor's degree in Statistics, Mathematics, or related field; often no advanced certifications required
Work EnvironmentCollaborates with data scientists and engineers; involved in building models and algorithmsFocuses on data collection, cleaning, and reporting; supports decision-making
Employer & Industry UsageUsed in tech, finance, healthcare, and consulting firms for data-driven projectsCommon across various industries for business insights and reporting

The Data Science Associate role typically involves more technical work like building models and applying machine learning, whereas Data Analysts focus on interpreting data and creating reports. Both roles require strong analytical skills, but Data Science Associates often have a deeper understanding of programming and statistical modeling.

What is the work of an associate data scientist?

An associate data scientist analyzes data to identify trends and patterns, develops models using programming languages like Python or R, and supports data-driven decision-making. They often work under supervision to clean data, build algorithms, and communicate findings to teams.

Which is better, DS or CS?

For a Data Science Associate role, both Data Science (DS) and Computer Science (CS) provide valuable skills; DS focuses on data analysis, modeling, and visualization, while CS emphasizes programming, algorithms, and software development. The choice depends on the specific job requirements and your career goals, but proficiency in programming languages like Python or R and understanding of data tools are essential in both fields.
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 are popular job titles related to Data Science Associate jobs in Seattle, WA? For Data Science Associate jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Data Science Associate jobs in Seattle, WA look for? The top searched job categories for Data Science Associate jobs in Seattle, WA are:
What cities near Seattle, WA are hiring for Data Science Associate jobs? Cities near Seattle, WA with the most Data Science Associate job openings:
Infographic showing various Data Science Associate job openings in Seattle, WA as of June 2026, with employment types broken down into 2% As Needed, 71% Full Time, 20% Part Time, and 7% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $77,430 per year, or $37.2 per hour.
Principal Data Scientist: Associate AI experience

Principal Data Scientist: Associate AI experience

Walmart

Bellevue, WA • On-site

$66K - $67K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 7 days ago


Key responsibilities

  • Build and deploy production machine learning systems end-to-end, including data pipelines, model training, serving layers, monitoring, and feedback loops at scale.

  • Provide technical vision and lead advanced development in agentic AI, reinforcement learning, and simulation.

  • Lead high-impact projects end-to-end, including problem framing, modeling, prototyping, production architecture, and rollout.


Walmart rating

6.0

Company rating: 6.0 out of 10

Based on 21,862 frontline employees who took The Breakroom Quiz

22nd of 39 rated national retailers


Job description

Position Summary...What you'll do...We are seeking a Principal Data Scientist to provide technical leadership and longterm vision for nextgeneration AI systems and platforms. This senior individual contributor will drive breakthrough system design and advanced solution development that transforms Walmart at scale. The role combines deep technical expertise (ML, simulation, optimization, agentic AI) with crossfunctional influence, mentoring of senior talent, and delivery of highimpact, productionized solutions. You will be a great fit if: - You architect end-to-end ML/AI systems - from feature engineering through production deployment and monitoring - You've built and shipped multiple autonomous AI agents (not just experimented with LLM APIs) - You're Level 5+ on Steve Yegge's Vibe Coding scale and can ship production systems through AI-assisted development - You combine deep statistical rigor with practical business impact
About the Team TheAssociate AI Experiencesteam applies advanced data science, machine learning, and agentic AI to solve high-impact business problems across Walmart globally. You'll build production Agentic systems, deploy autonomous AI agents, and translate complex data into actionable insights that drive measurable business value at massive scale. Our team builds intelligent platforms, agents and ML-powered solutions that make associates' jobs easier, faster, and more fulfilling across stores, fulfillment centers, distribution centers, and home office. We leverage the Element LLM Gateway to safely access state-of-the-art language models while keeping all data within Walmart's network. Our work spans NLP, computer vision, time series forecasting, and multi-agent AI systems at enterprise scale. What You'll Do
  • Build and deploy production ML systems end-to-end: data pipelines, feature stores, model training, serving layers, monitoring, and feedback loops at scale
  • Provide technical visionand lead advanced development in agentic AI, reinforcement learning, and simulation.
  • Architect and deploy large-scale AI systems and autonomous AI agents - conversational assistants, predictive agents with tool-calling, and multi-agent orchestration systems using LangChain, Pydantic AI, and RAG patterns
  • Design agentic evaluation frameworks that benchmark agent performance across task completion, code quality, and multi-step reasoning accuracy
  • Deploy NLP pipelines at enterprise scale - semantic similarity across millions of records using BERT/SBERT embeddings and vector search (FAISS)
  • Lead high-impact projects end-to-end; problem framing, modeling, prototyping, production architecture, and rollout.
  • Author and review technical designs and standards; present findings to senior leadership.
  • Mentor senior scientists and engineers on advanced modeling techniques, feature engineering, and experimentation design - raising the technical bar across teams.
  • Establish best practices for model validations, experiemention, and safe deployment of AI systems.
  • Influence roadmap prioritization and long-term strategy for AI and simulation capabilities.
  • Present insights to senior leadership with compelling data visualization, quantified business impact, and clear confidence intervals.
What You'll Bring
  • Deep expertise in ML algorithms (XGBoost, CatBoost, LightGBM, Random Forest, AutoML) and deep learning (PyTorch, transformer architectures).
  • Production experience with NLP (BERT, SBERT, FAISS, RAG), computer vision (YOLO, CLIP), and time series forecasting (ARIMA, Prophet).
  • Hands-on experience building and orchestrating multiple AI agents with LangChain, RAG, tool integration, and memory management.
  • Multi-cloud ML platform proficiency - AWS SageMaker AND GCP (Vertex AI, BigQuery, BigQuery ML).
  • Strong Python skills (Pandas, NumPy, Scikit-learn) with containerization (Docker) and MLOps practices.
  • Advanced statistical analysis, experiment design, and causal inference
  • Experience deploying production-grade AI systems at scale.
  • Ability to translate complex analytical results into clear business recommendations for non-technical stakeholders.
Minimum Qualifications
  • Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field AND 5+ years' experience in data science or Machine Learning roles with demonstrated impact.
Preferred Qualifications
  • PhD in AI, Machine Learning, Computer Science, Information Technology, Statistics, Applied Mathematics, Econometrics, or related field with relevant industry experience.
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.
Bentonville, Arkansas US-10735: The annual salary range for this position is $110,000.00 - $220,000.00
Bellevue, Washington US-11663: The annual salary range for this position is $132,000.00 - $264,000.00
Sunnyvale, California US-11807: The annual salary range for this position is $143,000.00 - $286,000.00 Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include :
- StockMinimum 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 5 years' experience in an analytics related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 3 years' experience in an analytics related field. Option 3: 7 years' experience in an analytics or related fieldPreferred 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, Publications or active peer reviewer in related journals or conference, Successful completion of one or more assessments in Python, Spark, Scala, or R, 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...2501 Se J St, Ste A, Bentonville, AR 72716-3724, United States of AmericaWalmart 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