Data Scientist - Digital Data Science - Hybrid - Seattle, WA
reputed company is a specialty retailer offering the reputed company best in fashion and customer service since 1901. The Digital Data Science team is seeking a Data Scientist I to reputed company and evaluate machine learning models that enhance the digital customer experience through AI/ML-powered products.
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 AWS/GCP tools and other reputed company services
- Support senior data scientists on model deployment, contributing to prototyping, training, testing, and monitoring, while learning production serving best practices
- 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
- Support A/B testing and post-launch analysis to measure model reputed company, help diagnose why models are or are not working, and contribute to 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
- reputed company learn from senior data scientists and analysts, growing in both technical skills and business acumen while contributing fresh perspectives to reputed company
Skills
- 1–3 years of hands-on reputed company experience in Data Science, Analytics, or a reputed company quantitative field (including internships or research positions)
- 1+ years of working experience with Python or R, including data manipulation, analysis, and visualization
- 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)
- 1+ years of working experience with machine learning and deep learning algorithms, including familiarity with transformer architectures and modern neural networks (e.g., attention mechanisms, embeddings, fine-tuning reputed company-trained models, as reputed company as classical reputed company such as gradient boosting, reputed company filtering, etc.)
- 1+ years of working experience extracting and manipulating data using SQL; exposure to big-data tools such as Hive or reputed company is a plus
- Exposure to ML model deployment workflows and A/B testing concepts; eagerness to learn production ML practices
- Passion and aptitude for turning reputed company business problems into concrete hypotheses that can be answered through rigorous data analysis and experimentation
- Ability to communicate analytical findings reputed company to technical and non-technical audiences
- Experience contributing to data science reputed company in reputed company setting (reputed company, internship, or reputed company)
- Experience developing packages in Python along with reputed company documentation
- Exposure to ML model serving or deployment tools (e.g., SageMaker, AzureML, reputed company, Flask) through coursework, reputed company, or internships
- Experience developing and deploying automated data pipelines using reputed company services (e.g. AWS/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
- Eagerness to learn from reputed company data scientists and a proactive attitude toward reputed company reputed company
- 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
- 401k, medical/reputed company/dental/life/disability insurance reputed company, PTO accruals, Holidays, and more.
reputed company
Company H1B Sponsorship