About the Team
You will be part of the Marketing Strategy and Analytics team responsible for providing business and customer insights, building customer and product level models, creating direct marketing audiences, and enhancing data quality.
About the Role
In this Senior Data Scientist role, you will be responsible for independently designing and building complex models to produce assets that drive positive bottom line impact. You will work with the marketing organization to test these assets and analyze results. We have a multi-dimensional customer data landscape that you will leverage to provide analytics support for strategic marketing projects.
You're excited about this opportunity because you will...
Build and deliver models at the various levels of customer and product identity for direct marketing campaigns, site enhancements, customer segmentation, and personalization efforts applying both traditional and machine learning algorithms
Ideate, develop and promote new modeling assets within the marketing organization
Work with cross-functional marketing teams to validate models through live testing
Create custom audiences using available data sources for segmentation and targeting for all marketing channels
Assess the value of 3rd party data sources and work with vendors on segmentation initiatives
Build in-brand and cross-brand product recommendation systems
Participate in the development of LTV metrics for marketing programs
Partner with other analysts to offer analytics support for strategic marketing projects like personalization and customer journeys
Why you will love working at Williams-Sonoma, Inc.
We're a successful, fast-growing company with an entrepreneurial vibe
We're a technologically and data-driven business
Competitive salaries and comprehensive health benefits
We're at the forefront of tech and retail, redefining technology for the next generation
We're passionate about our internal and external clients and live/breathe the client experience
We get to be creative on a daily basis
A smart, experienced leadership team that wants to do it right and is open to new ideas
We believe in autonomy and reward taking initiative
We have fun!
We're excited about you because...
You have a Master's degree or equivalent experience in statistics or a similar quantitative field
3+ years of hands-on experience in data mining and model building
Superior coding skills in Hive, SQL, R, Python, Spark, Scala
You love digging into data to find trends and understand consumer behavior
You're well-organized, have high attention to detail, and are deadline-oriented
You can communicate analytical findings to a non-technical audience and influence putting the results into action
Technical Competencies required:
Well-versed in databases, SQL, R, Python, UNIX, Spark, Scala
Machine learning algorithms and predictive models (Linear, Logistic, Proportional Hazards, Boosted Regression Trees)
Clustering (K-means, Fuzzy, C-means, Hierarchical, Mixture modeling)
Classification (Decision Trees, Logistic, Neural Net, SVM, Random Forest)
Natural language processing, sentiment analysis.
Retail industry experience a plus
About Williams-Sonoma, Inc.
Founded in 1956, Williams-Sonoma, Inc. is the premier specialty retailer of high-quality products for the kitchen and home in the United States. Our family of brands are Williams-Sonoma, Pottery Barn, Pottery Barn Kids, PBteen, West Elm, Williams-Sonoma Home, Rejuvenation, and Mark and Graham. These brands are among the best known and most respected in the industry. We offer beautifully-designed, stylish and functional products for every area of the home, including the kitchen, living room, bedroom, home office, closet, laundry room and even outdoor spaces. We've seen some big changes since our first brick-and-mortar store opened more than half of a century ago. What hasn't changed is our passion for high-quality products, functional design, outstanding customer service, and enhancing the lives of our customers and the communities where we operate. Today, we're a multi-brand, multi-channel, global enterprise supported by state-of-the-art technology and some of the most talented teams in retailing - and we're always looking for new energy and ideas.
Once you are here, you can look forward to a wide variety of benefits. Our corporate vision-to enhance our customers' quality of life at home-extends to the lives of our associates. To that end, we offer an extensive benefits package designed to help you grow, personally and professionally, to keep you healthy, to prepare you for the unexpected, to care for your family and to build a secure future. Depending on your position and your location, here's a look at what you might be eligible for:
A generous discount on all Williams Sonoma Inc. brands through multiple shopping channels
A 401(k) plan and other investment opportunities
Paid vacations, holidays and other time-off programs
Health benefits, including health, dental and vision insurance; health and dependent care tax-free spending accounts; medical, family and bereavement leave; same-sex domestic partner benefits; short- and long-term disability programs; life and travel insurance; an employee assistance program
Tax-free commuter benefits
A wellness program that supports your physical, financial and emotional health
In-person and online learning opportunities through WSI University, LearnIt and AcademyX
Cross-brand and cross-function career opportunities
Quarterly sample sales
A business casual work environment
A bike share program
Time off to volunteer
Matching donations to qualifying nonprofit organizations
Company-sponsored walks and runs
Healthy, organic options in the cafeteria and an awesome salad bar
Discounts on nearby gyms and other local businesses
WSI will not now or in the future commence an immigration case or "sponsor" an individual for this position (for example, H-1B or other employment-based immigration
This role is not eligible for relocation assistance.
Williams-Sonoma, Inc. is an Equal Opportunity Employer.
Williams-Sonoma, Inc. will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance, or other applicable state or local laws and ordinances.