Data Scientist enhancing merchandising and inventory performance using machine learning techniques at Nordstrom. Collaborating with teams to develop data - driven solutions for better customer experiences.
About the role
- Senior Data Scientist developing machine learning solutions for business insights from unstructured data in a hybrid setting. Collaborating across teams for impactful data analytics and implementation.
Responsibilities
- Work with unstructured or semi-structured data (documents, reports, free text, etc.) to extract information, classify content and detect patterns.
- Design, develop and deploy machine learning models and LLM-based solutions for real business use cases (e.g., entity extraction, summarization, classification, risk analysis, workflow automation).
- Build end-to-end data and ML pipelines on scalable platforms (e.g., Databricks or equivalents), including ingestion, cleaning, feature engineering, modeling, validation, deployment and monitoring.
- Collaborate with business and technology teams to define problems, success metrics and measure impact.
- Ensure best practices for data quality, governance, privacy and responsible AI use.
- Communicate technical results clearly to non-technical audiences, linking analyses to business decisions.
Requirements
- Degree in quantitative or technology-related fields (Computer Science, Engineering, Statistics, Mathematics, Data Science or related).
- Practical experience in data science or machine learning with production projects.
- Experience with LLMs, including API usage, prompt engineering, result evaluation and pipeline integration.
- Proficiency in Python (pandas, numpy, scikit-learn, ML/LLM frameworks) and SQL.
- Experience with cloud data environments or distributed processing platforms (e.g., Databricks, Spark, Azure, GCP, AWS).
- Strong communication skills and the ability to translate analyses into business value.
- Experience with MLOps (deployment, monitoring, versioning, retraining) is a plus.
- Knowledge of explainability, algorithmic bias and model governance is a plus.
- Experience with sensitive data or regulated environments is a plus.
- Familiarity with visualization tools or modern data architecture is a plus.
Benefits
- 13 invoices issued per year
- Company-provided equipment
- 30 days of paid leave after 12 months
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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