RH Digital Strategy and Merchandising

Restoration Hardware

23h•Onsite

About The Position

RH US, LLC is hiring for the following role in Corte Madera, CA: RH Digital Strategy and Merchandising. This role involves developing and implementing techniques and analytics applications to transform raw data into meaningful information. It requires applying data mining, data modeling, natural language processing, and machine learning to analyze large datasets. The position also includes visualizing, interpreting, and reporting data findings, creating dynamic data reports, and simplifying day-to-day Web Merchandising operations through automation. The role supports data-driven Web Merchandising decisions by creating statistical models, assists in CMS replacement by ensuring essential features and data schema architecture, and works with engineering for data migration and purging. It involves auditing and reporting on KPIs and data health, acting as a liaison between business and engineering, and supporting business teams in maintaining data health throughout the product lifecycle. The role requires presenting data in a digestible format for business partners, leading process mapping efforts, and proposing solutions and strategies to optimize workflows.

Requirements

Master’s degree (or foreign equivalent) in Computer Science, Engineering Management, or a related field
36 months of experience in the job offered or related occupation
36 months of experience in Designing and leading end-to-end projects for global SKU mapping solutions
36 months of experience in Analytics/BI Platforms: MicroStrategy, RMS (Retail Management System), Looker Studio
36 months of experience in Media Management: Adobe Dynamic Media Classic (DMC), Scene7
36 months of experience in Search/Indexing: Lucidworks Fusion, Algolia, Opensearch, Solr
36 months of experience in E-commerce/CMS: Oracle ATG Business Control Center (BCC), Contentful, Salesforce
36 months of experience in Databases: Oracle DB, MS SQL DB, MongoDB, Vector DB
36 months of experience in Database Tools: SSMS (SQL Server Management Studio), SQL Developer (Oracle), Azure Data Studio
36 months of experience in Product Data: Centric PLM, Enterworks PIM (Product Information Management)
36 months of experience in Cloud Infrastructure and Data: AWS S3, Lambda, Glue, QuickSight, Step Functions, Athena, Google BigQuery, Apache Spark, Apache Airflow
36 months of experience in Development and Utilities: Docker, WSL2, CWD, Cyberduck, Google App Script
36 months of experience in Languages and Libraries: Python, Excel VBA, Oracle SQL, MS SQL, SOQL (Salesforce Object Query Language), HTML, and libraries for web scraping, TensorFlow, PyTorch, and LangChain
36 months of experience in Advanced AI/ML Experience: building Retrieval-Augmented Generation (RAG) pipelines and running custom agents locally for rapid prototyping and development
36 months of experience in DB architecture, backend indexing and procedures with the ability to navigate through a large volume of dispersed data
36 months of experience in Web merchandising metrics and analytics tools and in back-end processes; driving efficiency and quality into those processes
36 months of experience in Generating custom QR codes with dynamic pricing updates and URL generation using relevant tools (e.g., Galaxy)
36 months of experience in Tableau or Power BI to create clear and compelling visualizations that communicate insights
36 months of experience in Machine learning algorithms
36 months of experience in Root cause analysis and process design – establishing, documenting, and implementing change to improve procedures.

Responsibilities

Develop and implement a set of techniques or analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualization software.
Apply data mining, data modeling, natural language processing, and machine learning to extract and analyze information from large structured and unstructured datasets.
Visualize, interpret, and report data findings.
Create dynamic data reports to assist with day to day operations.
Simplify current day-to-day Web Merchandising operations by eliminating repetitive tasks and providing automated solutions using programming and scripting tools to save valuable time and ensure data integrity.
Provide solutions to site wide data driven issues by identifying the problem and scale, determining its source, providing solution to the problem, and developing tools, procedures, and systems ensure repeat occurrences are eliminated.
Support data driven Web Merchandising decisions by creating and training a statistical model using algorithms like causal impact analysis based on user analytics data.
Assist business in CMS replacement by ensuring that all the essential features are included and that the new data Schema that we receive is architectured per business requirements.
Work in tandem with engineering to ensure data is migrated accurately and purged when applicable.
Audit and report on KPI’s and data health.
Act as a liaison between the business and engineering by understanding the business needs and technology knowhow to get the best outcomes for the organization.
Support business teams in maintaining data health throughout the entire Product lifecycle.
Use comprehensive knowledge of data interactions within multiple systems and downstream effects of data entered into the systems to present data in a digestible format for business partners.
Lead process mapping efforts to identify areas of inconsistency to drive improvements and recommend future enhancements in process or technology.
Propose solutions and strategies to tackle business challenges and optimize workflows.