Job Description
Lead Data Scientist - Testing/Measurement (MN)(Job Number:INF000D47)
Lead Data
Scientist
Join Target’s Testing & Measurement team where your goal will be to accelerate
omni-channel experimentation to foster a culture of continuous innovation at
Target. We believe that continuous
innovation is critical to delivering and exceeding our brand promise of “Expect
More Pay Less” to Target’s guests irrespective of their preferred channel of
engagement and commerce. You will enable
continuous innovation and drive business performance via testing and
measurement (experimentation).
In this role you will have three key priorities – develop cutting edge
scientific methods for testing and measurement of enterprise growth initiatives,
drive adoption of scientific methods by partnering with business owners across
the enterprise, drive implementation of new methods on our high-throughput
testing platform by partnering with internal data and technology teams.
Specifically,
you will lead the following efforts:
·
Develop advanced
statistical and data science methods to drive lean and efficient testing
practice at enterprise scale.
·
Partner with
product and business teams to translate hard and abstract problems into well
defined, quantifiable and measureable initiatives.
·
Define key
business metrics for running large scale experiments that deliver impactful
results to the business.
·
Design
experiments to evaluate the optimization of guest experience at Target agnostic
of channel (online or in physical stores).
·
Partner with internal
data and technology teams to implement
scalable solutions for testing and measurement.
Requirements:
·
Masters or PhD
in statistics, applied mathematics, computer science, econometrics or an equivalent
domain.
·
3 years of experience
in large scale A/B and multivariate testing, or other relevant work in design
of experiments.
·
Expertise in either
statistical modeling or machine learning (deep learning).
·
Proficiency in data
analytics languages such as SQL, R, Python.
·
Proficiency in
big data technologies such as Hadoop, Hive, Spark.
·
Strong communication
skills to influence cross functional teams.
Primary Location: United States-Minnesota-Minneapolis
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