zulily is a retailer obsessed with bringing our customers something special every day. Unique products from up-and-coming brands are featured alongside favorites from top brands, including clothing, home decor, accessories, toys and gifts, giving customers something new to discover each morning at an incredible price. We are fast-paced, innovative and metric-driven, with a team passionate for delighting our customers. Whether you want to work with incredible product selection, develop smart marketing plans, help us in our pursuit of faster fulfillment, or do something else awesome in between, we have a place for you. With locations in Seattle, WA; Reno, NV; Columbus, OH and Bethlehem, PA, our team is excited to be changing the way people shop every day - and we are just getting started.
Description
As a Data Scientist at zulily you’ll use statistical and machine learning techniques to better understand how customers engage with zulily’s web and mobile e-commerce platforms, and use that information to better allocate resources across zulily, from recommender systems informing the e-commerce site, to acquisition and lifecycle marketing processes, to operations. You’ll work with key stakeholders to crisply define business questions, success criteria, and deployment plans. You’ll use reproducible research techniques to create analytical data sets, conduct exploratory data analysis, select and engineer features, train, tune, and evaluate candidate models, distill and present findings, and create cloud-ready production and reference implementations.
What you will own, manage, and be accountable for:
• Develops accurate models for prediction and inference
• Constructs analytic data sets for both exploration and modeling
• Develops reproducible information products and modular, instrumented software
• Works with stakeholders to define business questions, success criteria, and model deployment plans. Checks in regularly with stakeholders during projects
• Conducts exploratory data analysis and prepares visualizations summarizing key features of the data
• Researches and adapts existing open source algorithms when possible, develops novel techniques when needed
• Provides guidance to software development engineers on production implementations
• Develops program plans and road maps for Data Science
Qualifications
- Minimum Education Level: Master’s Degree; Required Concentration: Statistics / Ops. Research / CS
- Years of Equivalent Experience: 4 – 6 years working with real data sets in a for-profit, business setting.
- Ability to distill and present complex concepts to a business audience
- Scoping and managing medium to large sized projects
- Experience with different algorithm families and experience selecting, applying, and measuring model performance in a for-profit setting
- Strong background working with machine learning and optimization techniques in a for-profit setting
- Proven history working of data integration with SQL, as well as within a statistical programming language such as R or Python in a for-profit setting
- Understands and practices the application of best practices in reproducible research and software engineering
- Strong expertise in all phases of the modeling pipeline on both desktop and distributed/cloud platforms in a for-profit setting
- Strong working knowledge of classical statistics and knowledge of design of experiments
- Experience with Spatial & Temporal Statistics
- Demonstrated Exploratory Analysis and Visualization abilities in a for-profit setting
- Solid experience at the Linux command line and with shell scripting
- Experience automating applications in a distributed / parallel environment
Highly desirable candidates will offer:
- PhD - Preferred Concentration: Data Science / Analytics
zulily is an Equal Opportunity Employer
zulily participates in E-Verify. zulily will provide the Social Security Administration (SSA) and, if necessary, the Department of Homeland Security (DHS) with information from each new employee's I-9 to confirm work authorization.
Federal law requires employers to provide reasonable accommodation to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodation include making a change to the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. You may reach us at (206) 388-0920.
Primary Location
Bellevue Office
Job
Technology
Job Type
Full-time
Read Full Description