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Data Scientist (Senior Economist)

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Job Order #: 5784981

NOC: 2172
Employer Name:
Farm Credit Canada
Wage/Salary Info:
N/A
Posted Date:
22-Feb-2021
Location:
REGINA
 
# of Positions:
1
Employment Terms:
Contract
Length of Employment:
12 months
Education:
University Bachelor's Degree
Experience:
3-5 Years
Apply By:
03-Aug-2021
How to Apply?:
This job is no longer taking applications

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Employer Name:
Farm Credit Canada
Contact Name:
Human Resources
Contact Phone:
3067808100
Employer Website:
https://fccfac.wd3.myworkdayjobs.com/en-US/careers-carrieres/job/Regina-Saskatchewan/Data-Scientist--Senior-Economist-_R-1002226


Description

Closing Date (MM/DD/YYYY): 03/08/2021
Worker Type: Term (Fixed Term)
Language(s) Required: English
Term Duration (in months): 12

Demonstrated economics expertise required
Communicate knowledge about the agriculture and food industries to stakeholders and customers by unlocking insights from complex datasets and leveraging state-of-the-art methodologies. Youll highlight risks and opportunities so FCC and its customers thrive.

What youll do:
- Unlock insights from complex and diverse groupings of internal and external data or developed models to tell a story
- Use advanced analytics techniques to enable enlightened decision-making
- Choose appropriate ways to tell the story through words, visualization, and interpretation

What were looking for:
- Analytical thinker who can design and develop strategies that give users the information they need to make informed decisions
- Creative thinker with research, analytical, and problem solving skills
- Confident communicator who can translate knowledge for others
- Relationship-builder comfortable making recommendations for improvement

What youll need:
- A bachelors degree in agriculture, finance, business, economics, mathematics, statistics or computer science and at least four years of experience (or an equivalent combination of education and experience)
- In-depth understanding of statistics and mathematics combined with business domain knowledge
- Highly proficient in visualization and analytics tools including but not limited to SAS, MS Power BI, AWS environment and tools, R, Python
- A passion for analysis, insights and storytelling

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Conseil Économique et Coopératif de la Saskatchewan
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