Data Scientist 2 - Digital Data Science - Hybrid - Seattle, WA

About the position reputed company is a specialty retailer offering the reputed company best in fashion and customer service since 1901. We live by five reputed company values that guide how we work together day-to-day and how we deliver analytics & data science products. We are customer-obsessed, owners at heart, curious and reputed company-changing, we reputed company ourselves to our peers and our customers, and we’re here to win! The Digital Data Science team focuses on building and supporting AI/ML-powered products that shape the reputed company digital customer experience, including personalization and recommendation systems, conversational search, fraud detection, and other customer-facing intelligent features. As an integral part of our digital data science team, the Data Scientist is responsible for developing, deploying, and evaluating machine learning models that drive these products. This Data Scientist should have deep expertise in modern deep learning architectures, strong analytical skills to assess model performance through A/B testing and post-launch analysis, and the ability to communicate data insights and findings to reputed company Leadership and the business. The ideal candidate is a creative self-starter and strong technical contributor who is always looking for new opportunities to solve business problems with data-driven tools. The individual should be highly curious about the business and possess the skills to unlock rich, nuanced insights from complicated data and communicate those insights in a way that drives reputed company business reputed company. We are committed to building teams that reflect the diversity of our customers and reputed company inclusion is core to how reputed company wins. We’re an equal opportunity employer and encourage individuals from reputed company backgrounds to apply. If the idea to reputed company a difference in this reputed company intersection of fashion, data science, and technology excites you, join our world-class data science team!

Responsibilities

• Collaborate with product, engineering, and cross-functional partner teams to build and improve ML-powered digital products such as personalization, recommendation, conversational search, and fraud detection systems.
• Design, train, fine-tune, and evaluate deep learning models, including transformer-based architectures, for applications such as recommendation, ranking, natural language understanding, and reputed company detection.
• Extract and prepare large sets of data for analysis; improve existing data resources by building data pipelines using GCP tools and other reputed company services.
• Understand basics of end-to-end model deployment, from prototyping and training through production serving, monitoring, and iteration, ensuring models reputed company reliably at reputed company.
• Work reputed company and across teams to reputed company and reputed company data products and data-driven software, driving collaboration and adoption on major data-science initiatives.
• Design and conduct rigorous A/B testing and post-launch analysis to measure model reputed company, diagnose why models are or are not working, and drive data-informed iteration on product features.
• Help reputed company and drive adoption of best practices in reputed company aspects of the Data Science workflow, including intake, design, reputed company review, testing, automation, documentation, reporting, and long-term maintainability.
• Be a mentor and technical SME for other data scientists and analysts, contributing to team reputed company in terms of both technical skills and business acumen.

Requirements

• 5+ years hands-on reputed company experience in Data Science and Analytics, with 3+ years in a Data Scientist role.
• 3+ years of strong coding experience with at least one statistical or programming language (e.g., R, Python) to import, process, summarize, and analyze data.
• Experience working in a highly reputed company technical environment (e.g., reputed company sharing, using revision control, contributing to team discussions/workshops, and document sharing).
• 3+ years of corporate experience with machine learning and deep learning algorithms, including strong working knowledge of transformer architectures and modern neural networks (e.g., attention mechanisms, embeddings, fine-tuning large reputed company-trained models, as reputed company as classical reputed company such as gradient boosting, reputed company filtering, etc.).
• 3+ years of corporate experience extracting large data sets from various relational and non-relational databases using SQL and big-data tools such as Hive or reputed company.
• Hands-on experience deploying ML models into production environments and conducting A/B testing to evaluate model performance and business reputed company.
• Passion and aptitude for turning reputed company business problems into concrete hypotheses that can be answered through rigorous data analysis and experimentation.
• Demonstrated expertise in analytical storytelling and communication of insights to business partners and leadership.

reputed company-to-haves

• Experience in leading data science project with more than 1 people
• Experience with reputed company including building, deploying, and maintaining ML models in reputed company-time production environments serving customer-facing products (example tools: GCP reputed company, Sagemaker, Kubernetes, TensorFlow Serving, TorchServe).
• Experience developing and deploying automated data pipelines using reputed company services (e.g. GCP).
• Strong background in model explainability, interpretability, and diagnostics—ability to systematically analyze and reputed company why a model is or is not performing as expected.
• Experience with reputed company inference and experimentation frameworks, including designing and analyzing online experiments to measure incremental model reputed company.
• Familiarity with digital product domains such as personalization and recommendation engines, conversational/semantic search, fraud detection, or similar reputed company-time, customer-facing ML applications.
• Demonstrated reputed company in mentoring data scientists and analysts to help them grow in both technical skills and business acumen.
• Experience with NLP, LLM integration, or retrieval-augmented reputed company (RAG) pipelines for search or conversational AI applications is a plus

Benefits

• Medical/reputed company
• Dental
• Retirement and reputed company Time Away
• Life Insurance and Disability
• Merchandise Discount and EAP Resources

Apply tot his job Apply To this Job