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Data Scientist

2 months ago

Montréal, Canada Desjardins Full time

At Desjardins, we believe in equity, diversity and inclusion. We're committed to welcoming, respecting and valuing people for who they are as individuals, learning from their differences, embracing their uniqueness, and providing a positive workplace for all. At Desjardins, we have zero tolerance for discrimination of any kind. We believe our teams should reflect the diversity of the members, clients and communities we serve.

Job Level

NV-10

As a Data Scientist, you provide the data needed to make business decisions, develop solutions and services adapted to business issues and understand member and client behaviour.

You lead internal and external stakeholders in model development projects adapted to business needs and in complex strategic interventions in advanced analytics and artificial intelligence.

Your initiatives require extensive, in-depth knowledge of your field.

You help solve highly operationally and conceptually complex business problems using your ability to mine multiple data sources, your analytical skills and your in-depth, comprehensive understanding of the business line and the organization. You rely on your solid understanding of the various methods to make recommendations.

General Information on the Position

Main responsibilities- Oversee data mining, evaluation, feature engineering, quality inspection and adjustment of available data, and the selection of predictors for a wide range of complex predictive modeling mandates- Analyze client and partner business needs, generate hypotheses, and lead mandates, taking into account the specifics of their operationalization and ensuring coordination during the rollout- Use advanced statistical, machine learning and artificial intelligence methods to use data, and develop and optimize models and segmentations that meet business needs- Create the programming needed to prepare and mine data, and develop, evaluate, support, roll out and manage highly complex models- Prepare easy-to-understand presentations and data visualizations to support the sector's business decisions when presented to management for consideration- Draft guidelines and data modeling methods, ensure specifications for optimal model performance are met, help develop documentation, and prepare and deliver training- Identify opportunities to improve rules and systems, anticipate underlying impacts of changes and make enhancements to data management tools.

Other working conditions- Workplace : Position located in Montreal or Levis, depending on the applicant selected. The work arrangement for the position is hybrid work (one day per week in the office) #LI-Hybrid- Number of jobs available : 1

**Qualifications**:
- Bachelor’s degree in statistics, artificial intelligence, mathematics or in a related field- A minimum of six years of relevant experience- Master's degree or PhD (an asset)- Experience in modeling based on structured data

Please note that other combinations of qualifications and relevant experience may be considered- For vacant positions available in Quebec, please note that knowledge of French is required

Specific knowledge- Expertise with SAS and Python- Upper intermediate knowledge of English due to the nature of the duties or work tools or because the position involves interactions with (language)-speaking partners, members and/or clients

Desjardins Cross-sector skills

Action oriented, Customer Focus, Differences, Nimble learning

Key competencies for the job

Innovation, Interpersonal Savvy

Work Location

Complexe Desjardins Montréal

Trade Union

Non Syndiqué

Unposting Date

2023-02-15

Job Family

Data (FG)

Desjardins Group is the largest cooperative financial group in Canada, and one of the largest employers in the country. It offers a full range of financial products and services and is home to a wealth of expertise in property and casualty insurance, life and health insurance, wealth management, services for businesses of all sizes, securities brokerage, asset management, venture capital, and secure, leading-edge virtual access methods.

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