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, Reno, Columbus and Bethlehem, our team is excited to be changing the way people shop every day - and we are just getting started.
Description
zulily is seeking an intellectually curious, collaborative data
expert to work as a statistician, data miner, and business analyst for the
Marketing Organization. As a Marketing Data Scientist, you will use statistical
analysis and data mining techniques to better understand how we can improve our
customer acquisition strategy along with maximizing future profits from our
existing base. You will need to
aggregate complex and detailed findings to all levels of marketing management
and be comfortable presenting and defending results when necessary.
More Details of the Job:
- Partner
with Marketing Analysts and other Marketing Business Partners to build advanced
models and tests that are applicable to current strategies.
- Present
findings and recommendations of models to Directors and Execs in a clear and
concise fashion.
- Drive real
change in Marketing tactics using data-backed results.
- Drive
prioritization in various Tech orgs to push models into production with support
from the Director of Marketing Analytics.
- Build and
refine complex statistical models that predict behavior and improve over time
with additional data and learnings.
- Identify
insights in Customer and Marketing data and use quantitative analysis to answer
complex questions.
- Utilize
background in statistics and probability, machine learning, and working with
large datasets to build models that support Marketing business goals.
- Become an
expert in languages such as R, Python, Julia etc.
- Write and
interpret complex SQL and Hive QL queries to inform data mining and modeling
activities.
- Be a
self-starter and create data-backed recommendations for where there are flaws
or gaps in current marketing strategies.
Qualifications
- 2+ years of
industry experience with a proven track record of using data analysis to drive
significant business impact, particularly
in “Big Data” environments.
- Interest and proficiency in
answering complex business questions using statistics, machine learning, and
matrix algebra
- Expert in predictive modeling
using both supervised and unsupervised learning techniques. Must have knowledge
and experience in the following: generalized linear models, ensemble models,
resampling methods, model validation and testing, dimensionality reduction,
clustering, and Bayesian approaches to data analysis.
- Strong proficiency with at
least one language for data analysis, such as R or Python
- Excellent capabilities with
the basic analysis tools of SQL and Excel.
- Demonstrated academic
achievement and an active research agenda in relevant topic areas
- Ability to communicate
modeling procedures and results to non-experts
- Education
- Master’s Degree in Statistics, Math, Engineering, Operations Research,
Computer Science, or another quantitative discipline.
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
Seattle Office
Job
Analytics
Full-time
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