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Principal Data Scientist

Job in Calgary, Alberta, T3S, Canada
Listing for: Farm Credit Canada
Full Time position
Listed on 2026-01-13
Job specializations:
  • Finance & Banking
    Data Scientist
  • IT/Tech
    Data Scientist, Machine Learning/ ML Engineer, Data Analyst
Salary/Wage Range or Industry Benchmark: 117887 - 159495 CAD Yearly CAD 117887.00 159495.00 YEAR
Job Description & How to Apply Below

Closing Date (MM/DD/YYYY):

05/04/2025

Worker Type:

Permanent

Language(s)

Required:

English

Term Duration (in months):

Salary Range (plus eligible to receive a performance based incentive, applicable to position) :

$117,887 - $159,495

Portfolio Management
Expertise in big-data analytics for financial industry required
Provide informal leadership to an experienced team searching for problems to solve and opportunities to capitalize on within huge and diverse datasets.

What you’ll do:

  • lead and mentor data teams to find problems, and to solve and opportunities to capitalize on within huge and diverse datasets

  • unlock insights from the most complex and diverse groupings of internal and external data, and to tell a story with the data that enables enlightened decision making at all levels of the organization

  • use advanced big data, predictive analytics, and machine learning tools to find ways to solve complex data problems and find ways to improve FCC through data

  • What we’re looking for:

  • Enterprise-wide thinker who can combine rare and deep business domain knowledge with deep knowledge of complex statistical and mathematical concepts

  • Confident communicator able to translate knowledge for others

  • Expert in statistics and mathematics

  • Relationship-builder comfortable making recommendations to senior leaders

  • Proven mentor who works well within a high-performing team

  • What you’ll need:

  • A master’s degree in one of the noted domain and at least eight years of experience (or an equivalent combination of education and experience)

  • Expert knowledge of risk management and finance areas such as, credit risk, allowance for credit losses, economic capital, and stress testing

  • Demonstrated ability to work with huge data sets and use sophisticated big data and machine learning techniques and technologies

  • Mastery of one or more predictive and descriptive analytics tools and techniques

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