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Location
Richfield, MN, United States
Posted on
May 20, 2021
Profile
**MEMBERS ONLY**SIGN UP NOW***.
Decision Science
is the multi-disciplined practice of extracting value from data—problem-solving using curiosity, scientific methods, processes, algorithms, platforms, and systems to extract knowledge and insights from structured and unstructured data.
Decision Science professionals answer business questions, using database queries, business intelligence solutions, and statistical techniques to understand and explain business performance and identify business opportunities.
**MEMBERS ONLY**SIGN UP NOW***. has a new
Senior Decision Scientist
role for an individual who will use their analytic and problem-solving skills while partnering with data scientists, data engineers, IT, and the business to improve the decision-making process for our internal client teams using analytics.
What will you do?
Perform analytics to support business clients
Lead scoping sessions with business clients
Frame and structure the engagement goals and the recommended analysis approach
Lead clients away from simplistic tallying and towards holistic analysis
Calibrate deliverables to suit the intended audiences
Perform analytics using scientific methods relying on mathematics, statistics, and hypothesis testing
Build and support analytics tools and solutions to improve decision-making
Build relationships and communicate with client teams around the data, recommendations, and tools provided
Minimum Qualifications: (You must meet or exceed all qualification levels to be eligible)
5 or more years’ experience in retail, analytics, business
3 or more years’ experience applying analytical techniques to answer business or scientific questions
3 or more years’ experience with writing SQL
3 or more years’ experience with writing code in R and/or Python
2 or more years’ experience building tools in Tableau and/or Power BI
Four-year bachelor's degree in statistics, mathematics, economics, engineering, the physical sciences, computer science, or similar field with quantitative rigor
Preferred Qualifications:
Master's degree in statistics, mathematics, economics, engineering, the physical sciences, computer science, or similar field with quantitative rigor
Experience building and troubleshooting data processes in SQL
Experience using and developing analytics solutions with Google Cloud Platform
We believe that our company’s success depends on the passion and creativity of our amazing employees.
To create environments in which our people can fully thrive, we turn to our guiding behaviors: Be human. Make it real. Think about tomorrow
. These set the tone for **MEMBERS ONLY**SIGN UP NOW***., along with our Rallying Cry: Let’s talk about what’s possible
. Our supportive leaders collaborate with their teams through ongoing feedback and two-way dialogue to maintain a culture continual learning. All these factors combine to create an unbeatable experience for both customers and employees.
Company info
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