Senior Data Scientist
@ Desjardins

Lurcy-Lévis, Auvergne-Rhône-Alpes, France
CA$120,000
On Site
Posted 24 days ago

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XXXXXXXXXX XXXXXXXXX XXXXXXXX******* @desjardins.com
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Job Details

Senior Data Scientist

As a Senior Data Scientist at Desjardins, your role is to transform data into value-added information to facilitate decision-making. You will encourage teams to leverage data fully to achieve business goals and provide expert guidance to both data management teams and business sectors.

Your responsibilities include:

  • Simplifying complex concepts for decision-making bodies.
  • Identifying and prioritizing opportunities to leverage data.
  • Defining solutions and developing an integrated analytical roadmap.
  • Aligning delivery teams on analytical solution design.
  • Advising on performance measurement policies and deployment strategies.

Additional details:

  • Competitive salary with an annual bonus and flexible vacation.
  • Defined benefit pension plan and group insurance.
  • Reimbursement for health, wellness, and telework equipment.
  • Minimum 8 years of relevant experience and a related Bachelor's degree required.
  • Knowledge of French and a strategic, innovative mindset are essential.

At Desjardins, equity, diversity and inclusion are core to our work culture. Accommodations are available throughout the recruitment process upon request.

Key skills/competency

  • Data Transformation
  • Strategic Analysis
  • Analytical Solutions
  • Data Visualization
  • Leadership
  • Innovation
  • Change Management
  • Stakeholder Engagement
  • Performance Metrics
  • Technical Advisory
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How to Get Hired at Desjardins

🎯 Tips for Getting Hired

  • Research Desjardins culture: Study mission, values, and recent news.
  • Customize your resume: Highlight data transformation and leadership achievements.
  • Emphasize strategic impact: Showcase analytical solution successes.
  • Prepare for interviews: Practice real-world data challenges and case studies.

📝 Interview Preparation Advice

Technical Preparation

Review advanced machine learning techniques.
Practice complex data modeling exercises.
Refresh statistical analysis methods.
Prepare coding challenges in Python and R.

Behavioral Questions

Describe a leadership challenge faced.
Explain a strategic decision-making instance.
Discuss managing cross-functional stakeholder conflicts.
Showcase adaptability in change management situations.

Frequently Asked Questions