Principal Data Scientist

Farm Credit Canada; Calgary; On-site; CAD 117,000 - 160,000; Full time

Job summary

A financial services organization is seeking a leader in big-data analytics to mentor teams and drive data-driven decisions. The ideal candidate will have a master’s degree and 8+ years of experience, with expertise in statistical analysis and finance. This permanent role is based in Calgary, Alberta, and offers a competitive salary ranging from $117,887 to $159,495.

Qualifications

• Master's degree and at least 8 years of relevant experience.
• Expert knowledge of risk management and finance areas.
• Ability to work with large datasets and advanced analytics techniques.

Responsibilities

• Lead and mentor data teams to find opportunities within huge datasets.
• Unlock insights from diverse data for informed decision-making.
• Use big data and machine learning tools to improve FCC.

Skills

Expert in statistics and mathematics

Confident communicator

Relationship-builder

Enterprise-wide thinker

Education

Master’s degree in relevant domain

Job description

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 - $159,495Portfolio 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