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Data Scientist, Supply Chain

Date: Nov 27, 2018

Location: San Francisco, CA, US

Company: Williams-Sonoma Inc.

Requisition Number: SS-14678
Area of Interest: Information Technology
Organization: Corporate
Brand/Division: Shared Services
Position Type: Full-time

JOB DESCRIPTION

A Little Bit About Us...

You will be a key part of the Product team that is responsible for conceptualizing, designing and optimizing the customer experience and business technology innovations that drive Williams-Sonoma Inc.'s industry-leading multi-channel retail business. You'll be working with amazing peers, cutting-edge technologies and deep resources to help push the boundaries of product innovation. To learn more about our team, our values and our culture please check out our team site.

About the Role...

@ WSI Tech we strive to create an empowered, lean, fast-paced delivery culture that is highly responsive to customer needs and tuned to driving optimal outcomes. We are looking for a Rockstar Data Scientist to help drive deep analyses and build models to drive our Supply Chain optimization at scale.

You'll be working closely with highly talented ML/Data Engineering and Analytics peers to build data-driven solutions that are going to help optimize an incredibly complex Supply Chain network to deliver superior customer experiences and operational efficiency. You'll be solving real and interesting problems at a fast pace on a day-to-day basis -- finding actionable insights that are buried in our terabytes of structured and unstructured data. Your primary focus will be in applying data mining techniques, doing statistical analysis, and building high-quality prediction systems integrated with our order management, inventory and fulfilment data sets.

Responsibilities include:

* Selecting features, building and optimizing classifiers using machine learning techniques
* Data mining using state-of-the-art methods
* Working with peers to enhance data collection procedures to include information that is relevant for building analytic systems
* Working with ML Engineers to support the processing, cleansing, and verification of the integrity of data used for analysis
* Doing the ad-hoc analysis and presenting results in a clear manner
* Creating automated anomaly detection systems and constant tracking of its performance
* Building closed-loop ML algorithms to power scaled personalization within the digital experience

We think you should be excited about this opportunity because you will...

* Work on initiatives of incredible opportunity and scale.
* Directly see how your ideas and efforts positively impact the experience of our customers and the growth of our business.
* Work in a truly data-driven environment. We practice what we preach.
* Work at the pace and excitement of a start-up with the resources of a $5 billion company.
* Be treated like an entrepreneur and expected to bring innovative ideas to the table and execute them to completion.
* Work with a world-class team with a history of success and reputation for excellence.

Why you will love working at Williams-Sonoma, Inc.

* We're a successful, fast-growing company with an entrepreneurial vibe
* 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 get a killer discount on our amazing products
* We believe in autonomy and reward taking the initiative
* We have fun!

REQUIREMENTS AND QUALIFICATIONS

* Bachelor's Degree at a minimum
* 4+ years of experience as a Data Scientist
* An understanding of the Retail/E-Commerce industry and how to apply analytic techniques to solve problems
* An understanding of supply chain analytics inclusive of manufacturing, sourcing, promising and fulfillment

* Experience working with Product Managers and Engineers to apply analytics and experimentation to drive iterative experience design decisions
* Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, Collaborative Filtering.
* Experience with common data science toolkits, such as R, Weka, MatLab, etc.
* Experience using Python libraries such as NumPy, Pandas, and Scikit-Learn to build Machine Learning Models.
* Hands-on experience on at least one deep learning framework such as Keras, Theano, TensorFlow, and Caffe.
* Hands on experience with Recurrent and LSTM networks
* Knowledge of timeseries models such as ARIMA and ARIMAX.
* Great communication skills
* Experience with data visualization tools, such as D3.js, GGplot, etc.
* Proficiency in using query languages such as SQL and Hive.
* Experience with NoSQL databases, such as MongoDB, Cassandra, HBase, etc.
* Good applied statistics skills, such as distributions, statistical testing, regression, etc.
* Good scripting and programming skills
* Data-oriented personality
* Experience working with Spark & Scala to scale ML pipelines preferred.

About Williams-Sonoma, Inc.

Founded in 1956, Williams-Sonoma, Inc. is the premier specialty retailer of high-quality products for the home. Our family of brands includes 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. In 2017, we acquired Outward, Inc., a 3-D imaging and augmented reality platform for the home furnishings and décor industry. 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.

Benefits:

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

#LI-SS1

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.


Nearest Major Market: San Francisco
Nearest Secondary Market: Oakland

Job Segment: Supply Chain, Scientific, Database, Supply, Retail Sales, Operations, Engineering, Technology, Retail