Data Scientist

at  Restoration Hardware

RH at its core is about taste, and we believe the idea of scaling taste is large and far reaching.
The RH brand attracts the best designers, artisans, manufacturers and talent in our industry, scaling and rendering their work more valuable across our integrated platform, enabling us to curate the most compelling collection of luxury home furnishings in the world. We are moving the brand beyond curating and selling products to conceptualizing and selling spaces by building an ecosystem of products, places, services and spaces that elevates and establishes the RH brand as a global thought leader, taste and place Maker.
At RH we believe deeply that the “right” people are our greatest asset. We value people with high energy, who possess the ability to energize others. People who are smart, creative and have a point of view. People who see the answer in every problem, versus those who see the problem in every answer. People who are driven, determined and won’t take “no” for an answer. We value team players, people who are more concerned with what’s right, rather than who’s right.
RH is seeking a Data Scientist to play a key role in unlocking insights from our data, driving data-driven decision-making, and helping us solve complex business problems. You will be responsible for analyzing large datasets, developing predictive models, and communicating your findings to both technical and non-technical stakeholders.
RH US, LLC, a RH company, is hiring for the following role in Corte Madera, CA: Data Scientist to develop and implement analytics applications to transform data into meaningful information using the RH product information management system.

OUR REQUIREMENTS

• Master’s degree (or foreign equivalent) in Computer Science, Engineering Management, Software Engineering, Information Systems Engineering, or a related field
• Completion of a university-level course, research project, internship, or thesis in each of the following: data mining, data modeling, natural language processing, and machine learning
• SQL and Python
• Creating and training statistical models using different algorithms
• Root cause analysis and process design
• SQL, Python, R Studio, Fusion, ATG, or Oracle
• Maintaining data health through product life cycle

• Maintain data health through SKU lifecycle; test, validate, and transform data with multiple systems and downstream effects of data entered
• Collaborate with cross-functional partners to obtain, audit, and manage data
• Provide a proactive data hygiene service to RH to ensure SKU optimization and proper set up
• Analyze, manipulate, and process large amounts of data
• Perform database audits to ensure alignment across multiple channels and systems
• Formulate and define process improvement objectives
• Develop , recommend, and implement data driven solutions from which best practices will be implemented, and roll out changes to teams
• Identify and implement processing mapping efforts to drive improvements and enhancements in process or technology
• Translate technical concepts into non-technical terms and identify and troubleshoot data systems issues
• Multiple positions