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Data Scientist

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Job Order #: 5917311

Employer Name:
Farm Credit Canada
Wage/Salary Info:
To be discussed
Posted Date:
23-Jun-2022
Location:
REGINA
 
# of Positions:
1
Employment Terms:
Temporary:F-T
Length of Employment:
20 months
Education:
University Bachelor's Degree
Experience:
6-9 Years
Apply By:
14-Jul-2022
How to Apply?:
To apply, please visit: fcc.ca/careers

Application Information

Employer Name:
Farm Credit Canada

Contact Name:
Human Resources

Contact Phone:
3067808100

Employer Website:
https://fccfac.wd3.myworkdayjobs.com/en-US/careers-carrieres/details/Data-Scientist_R-1003918



Description

Job number: R-1003918
Location: Regina, Saskatchewan  
Closing date: July 14, 2022
Language(s) required: English
Worker Type: Term (Fixed Term)  
Term Duration (in months): 20

Controller
- Statistical modelling and programming expertise required
- Apply your knowledge of financial management and planning to build predictive models and solutions that support integrated planning needs

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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