Hybrid Applied Data Scientist Applied Data Scientist with verification
WebstaurantStore · nan, Estados Unidos da América · Hybrid
About the job
Job Summary:
Webstaurant Store, the world’s largest online restaurant supply
company, is looking for a full-time Applied Data Scientist to join the
Analytics team. The Applied Data Scientists are responsible for supplying
statistical rigor to the team’s analytics projects, aimed at discovering
actionable insights and opportunities for growth and optimization for the
organization.
This role can be remote in some US states (See below for remote work requirements)
or based in one of our offices (Lititz, PA or Tampa, FL).
Responsibilities include, but are not limited to:
fit for structured & unstructured, complex data, and developing custom
analytics models to generate insights that drive value for our customers and unlock
competitive advantage for our organization.
information from our various sources so that you can implement advanced
statistical methodologies and design interventions to optimize how our business
can best perform.
statistical inference, and statistical analysis (predictive and/or
prescriptive)
challenging retail business problems into state-of-the-art data science
solutions.
continuously improve model performance and data accuracy.
background in data science or statistics.
analytics news and best practices.
The ideal candidate will possess the following
qualities:
confidently to team members both written and verbally.
find ways to add value to the team and business. They are self-motivated and
creative in their quest to find actionable insights and new solutions. They can
often be found saying “What if we tried this?” or “Maybe this is a better way
to do it?” They have a knack for overcoming obstacles.
expand their professional knowledge and skill set.
on the lookout for opportunities to improve and innovate data science solutions.
is inherent in everything that you do.
science theories and methodologies to derive the best approach that is
fit-for-purpose.
experience working in Data Science, or a PhD in math, statistics, economics, or
a modeling-related field.
modelling techniques especially; extra points if you have experience with one
or more of the following: product/sales forecasting, recommendation engines,
dynamic pricing, or user matching/data cleanrooms.
What’s in it for you:
Fully remote opportunity.
Competitive pay + opportunity for annual bonuses.
Comprehensive benefits package including medical/dental/vision.
insurance, gym membership reimbursement, 401k with company match.
Opportunity To Grow Skills As You Work Alongside Experienced
data analysts.
Remote Work Qualifications