Data Scientist Jobs

Title : Data Scientist with Supply Chain

Location : Minneapolis, MN, (Remote)

Long term

Decision Scientist compiles and analyzes statistical data and use that information to support

recommendations for certain actions and decisions.

Responsibilities:

·Candidate should be passionate about using data and analytics to drive business decisions with

·statistical analysis, operations research, and decision analysis.

·Working with large complex datasets and identifying patterns for business problems.

·Builds analytical data sets, including development of programs for the extraction and transformation

·of data across multiple platforms, including mainframe, server and desktop using tools like SAS, R,

Python, SQL

·Design and build decision models and algorithms to solve business problems.

·Develop and maintain dashboards and reports to communicate insights and results to stakeholders.

·Conduct exploratory data analysis to identify patterns, trends, insights that drive business value.

·Work with cross-functional teams to develop and implement data-driven strategies and solutions.

·Identify and apply best practices in field of advanced analytics (statistics, operations research)

·Uses data and business analysis techniques to support completion of requests related to Workforce

Planning across Selling, Supply Chain, and/or In-Home labor

·Supports deliverable creation for the Workforce Planning team leveraging data fluency methodologies

(e.g., effective storytelling) that include data backed insights/recommendations and supporting materials

·Supports the alignment of demand within a prioritization framework through understanding the scope,

gathering product requirements and establishing engagement timeline

·Sets clear hypotheses, tests them, drives conclusions & recommendations to impact the business

·Gathers demand and requirements for dashboard and automation tools and works cross functionally

with other team members (e.g. Finance, Data Ops, Data Science) to drive the delivery of dashboard and

automation tools

Basic Qualifications

·3 years or more of experience in Retail, Analytics, Business, or related field

·2 years or more of relevant experience applying analytical techniques to answer business questions

or scientific questions

·1 year or more of experience in one or more of the following: Business Stakeholder Management,

Data Visualization, Communicating Technical Information, Storytelling & Storyboarding

Preferred Qualifications

·Bachelor's degree in statistics, mathematics, economics, engineering, the physical sciences,

computer science, or similar field with quantitative rigor.

·2 years or more experience in computer programming, SAS, SQL, Python, R, Tableau, and/or

Power BI

·Experience in retail and/or any relevant industry that handles large datasets

Experience with workforce strategy or labor analytics