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Senior Data ScientistSecurityTech • Montreal, Quebec, Canada
Senior Data Scientist

Senior Data Scientist

SecurityTech • Montreal, Quebec, Canada
24 days ago
Salary
CA$150,000.00 yearly
Job type
  • Permanent
Job description

Compensation: $150000 - 170000 plus up to $20000 bonus capped at 150%

Job Summary

GieseckeDevrient is a globally leading SecurityTech company. We are seeking a highly analytical and execution-focused Senior Data Scientist to join GDs new AI Hub.

The ideal candidate will combine strong expertise in machine learning statistical modeling experimentation and business problem solving with the ability to translate complex enterprise challenges into scalable AI solutions that deliver measurable impact.

The role is designed to deliver immediate value through operational efficiencies and intelligent decision support while simultaneously contributing to the development of differentiated AI capabilities and products within the SecurityTech domain.

This role contributes directly to GDs enterprise-wide AI transformation and strategic value targets.

As part of GDs global AI transformation the Senior Data Scientist will collaborate closely with AI Engineers ML Engineers Data Engineers product and project managers and executive stakeholders to unlock enterprise-wide value through data science and machine learning. This role will function within a global matrix organization and report into the AI Hub leadership.

Primary Responsibilities

  • Own data science initiatives end-to-end from problem framing through production deployment and performance monitoring

Data Science & Machine Learning Development

  • Design develop and validate machine learning models predictive models and advanced analytical solutions
  • Perform exploratory data analysis feature engineering and model performance evaluation
  • Develop statistical forecasting classification anomaly detection optimization and causal inference models
  • Establish experimentation and A/B testing frameworks to measure business impact

AI Product Development & Delivery

  • Support the development and deployment of AI solutions across internal workflows and customer-facing products
  • Work closely with engineering teams to productionize models and analytical pipelines
  • Ensure solutions are scalable reusable and aligned with enterprise standards
  • Contribute to the integration of models into enterprise data and AI platforms

Governance Ethics & Compliance

  • Ensure responsible AI practices including explainability bias checks traceability and validation
  • Support model monitoring drift detection and lifecycle governance
  • Ensure compliance with global data privacy security and regulatory standards
  • Contribute to documentation and auditability standards for production AI systems

Stakeholder Engagement

  • Partner with business unit leaders and functional teams to identify and prioritize high-value use cases
  • Translate business challenges into measurable analytical solutions
  • Present insights model outputs and recommendations to technical and non-technical stakeholders
  • Influence the direction of AI and data science initiatives through technical leadership and business partnership

Team Building & Leadership

  • Contribute to building a high-performing AI and Data Science capability within the AI Hub
  • Mentor junior team members and promote best practices
  • Foster a culture of experimentation rigor and collaboration
  • Promote knowledge sharing across global and local teams


Qualifications Experience and Educational Requirements

Work Experience:

  • Five (5) years of experience in Data Science Machine Learning or Advanced Analytics with proven experience delivering enterprise-scale AI or ML initiatives

Skills and Competencies:

  • Strong expertise in machine learning statistical inference predictive modeling experimentation / A/B testing causal inference forecasting optimization and anomaly detection
  • Hands-on experience with Python pandas NumPy scikit-learn and SQL
  • Experience with one or more of: PyTorch TensorFlow XGBoost LightGBM time series forecasting frameworks
  • Strong understanding of cloud-native data and AI platforms
  • Experience working in regulated industries is a plus
  • French speaking is an asset


Education:

  • PhD or Masters degree in Computer Science Data Science Statistics Mathematics Engineering or related quantitative field preferred


Additional Information

*This job description is not intended to be all inclusive. The candidate hired will also perform other reasonable related business duties as assigned by the supervisor. The company reserves the right to revise or change job duties as needed. This job description does not constitute a written or implied contract of employment.


By applying to this position you are confirming you possess either a Canadian citizenship permanent resident status or valid work permit.


Please note: Reference Checks and Credit Criminal Background Checks will be administered on suitably qualified candidates. Your application will be kept on file for up to two years

$$ GieseckeDevrient ePayments Canada Inc. is an equal opportunity employer and values diversity in its workforce encouraging applications from all qualified individuals. Accommodations are available on request for candidates taking part in all aspects of the selection process. If you would like to contact us please contact Human Resources at

$$ $$ $$ $$ $$ Experience:

Senior IC


Employment Type : Student
Experience: years
Vacancy: 1
Monthly Salary Salary: 150000 - 170000
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Senior Data Scientist • Montreal, Quebec, Canada

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