Position Summary...What you'll do...Immigration sponsorship is not available for this role. Applicants must be authorized to work for any employer in the United States without current or future visa sponsorship. This is a full-time onsite role based in Bellevue, WA; remote and hybrid options are not available. Role Summary: The Principal Data Scientist will lead the development and deployment of advanced machine learning models and machine learning solutions to address complex business challenges. This role requires expertise in end-to-end model development lifecycle from data to features to modelling to deployment. The position involves mentoring team members, collaborating cross-functionally, and ensuring the quality and effectiveness of data sources and models. The successful candidate will drive innovation by applying cutting-edge techniques and delivering measurable business impact while maintaining high standards of integrity and operational excellence.
What You'll Do:- Develop, test, and deploy advanced machine learning models and data-driven solutions aligned with business requirements.
- Analyze complex business problems to identify root causes and recommend effective technology-focused approaches.
- Identify, assess, and validate data sources ensuring quality and relevance for analytical modeling.
- Lead feature engineering, exploratory data analysis, and model evaluation to optimize performance and robustness.
- Demonstrate strong thought-leadership and consult with product and business stakeholders to build, scale and deploy holistic data science products after successful prototyping.
- Collaborate with stakeholders to translate business needs into scalable data science strategies and measurable outcomes.
- Mentor team members on advanced modeling techniques, data visualization, and best practices.
- Drive continuous improvement by integrating emerging machine learning trends and automation tools.
What You'll Bring:- PhD in Computer Science or related field and 10 years of relevant data science experience or master's degree in related field and 12 years of relevant data science experience.
- Demonstrable experience of architecting large scale ML systems.
- Deep knowledge of and extensive experience in machine learning algorithms, deep learning, and reinforcement learning to develop advanced analytical models.
- Proven experience working with state-of-the-art agentic, Gen AI, supervised and unsupervised machine learning algorithms on real-world problems, preferably in ecommerce domain.
- Proficiency in Python programming and AWS SageMaker for scalable model development and deployment.
- Strong knowledge of statistical analysis and exploratory data analysis techniques to interpret complex data sets.
- Ability to translate business requirements into data-driven strategies and measurable outcomes.
- Expertise in data source identification, quality assessment, and data ecosystem management.
- Proven leadership skills in mentoring and guiding technical teams toward innovative solutions.
- Effective communication skills to present insights and influence stakeholders.
Preferred Experience:- Experience in the e-commerce domain.
- Experience in the fraud/risk domain.
- Demonstrated success in data science platforms like Kaggle.
Benefits: Beyond our great compensation package, you can receive incentive awards for your performance. Other great perks include 401(k) match, stock purchase plan, paid maternity and parental leave, PTO, multiple health plans, and much more.
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 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 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, 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...10900 Ne 4th St, Bellevue, WA 98004, United States of America
