Associate Data Scientist

At Williams Sonoma, our brand promise is to nourish people's lives. This mission inspires and drives us, informs our strategy, as well as makes us special. As part of the Data Science and Analytics team you will engage with our customers leveraging your expertise in reporting, insights, analysis, and data modeling to develop game-changing recommendations. You will love working with incredible marketers across all our brands Williams Sonoma Kitchen/Home, Pottery Barn/Teen/Kids, West Elm/Kids, Mark & Graham, and Rejuvenation.

You’ll collaborate with a team of expert data scientists and cross-functional marketing leaders to elevate our products and develop groundbreaking tools. This Associate Data Scientist role offers exposure to a diverse tech stack (MarTech, AdTech, FinTech, etc.) and the opportunity to contribute to our omnichannel marketing success. From data modeling and analysis to presenting your insights, you'll play a vital role. Bring your intellectual curiosity and innovative spirit – let's build the future together.

• Data Analysis & Reporting: Develop and maintain dashboards, documentation, and reporting (including campaign testing results), driving towards automation and data integrity. Scale reporting and analyses for marketing initiatives across 9 brands. Leverage data mining techniques to uncover key business insights. Provide ad-hoc and recurring support for custom data requests from multiple cross-functional teams and senior leadership.
• Data Management & Quality: Take ownership of datasets, managing data integrity, preparation, cleansing, and formatting. Own and uphold the highest level of QA/QC for all data, reporting, analysis, and modeling. Establish and maintain data quality assurance and management protocols/processes. Become an expert in WSI data.
• Data Infrastructure: Participate in the ETL process by contributing to data pipeline architecture (e.g., via connectors), owned data sets, and optimizing the dataflow.
• Statistical Modeling & Research: Build supervised statistical models using various techniques and algorithms. Support and update released models by monitoring and improving their performance. Support research projects and their analyses as needed.

Criteria

• BA/BS or higher degree in Computer Science, Math, Physics, Engineering, Statistics, Biostatistics, Economics, Analytics, Applied Mathematics, Physical Sciences, or a related quantitative field.
• 0 - 2+ years of experience in an analytical role or equivalent academic coursework in data modeling, analytics, market research, or other data-centric field.
• Proficiency in SQL (1+ years) and Excel.
• Experienced programming and scripting with Python.
• Knowledge and understanding of BI visualization tools (e.g., Domo, Tableau, PowerBI, Looker).
• Exposure with machine learning, marketing mix modeling (Bayesian), Markov Chain Monte Carlo (MCMC) algorithms, Deep Learning Neural Networks, Long Short Term Memory (LSTM), Prophet/NeuralProphet, Regression, A/B testing, and other related methodologies a huge plus.
• Strong analytical and critical thinking skills, with meticulous attention to detail and problem-solving abilities.
• Demonstrated ability to clearly communicate complex results to both technical and non-technical audiences.
• This role requires being onsite in the San Francisco office Monday through Thursday and Friday as optional in the office.