Data Scientist driving analytics and experiments for Jerry.ai’s AI - powered advisor for cars, homes, and other physical assets. Embedded across growth, product, AI, or strategic partnerships.
About the role
- Senior Data Scientist advancing EXFO’s telecommunications and network analytics. Building predictive models, defining metrics, and guiding AI-informed product and operational decisions.
Responsibilities
- Explore, analyze, and interpret product, operational, customer, or network data to identify decision-useful signals.
- Formulate and test hypotheses using rigorous statistical methods.
- Build descriptive, diagnostic, and predictive analyses, segmentations, and models.
- Define, validate, and document metrics, indicators, thresholds, cohorts, and calculation rules.
- Assess data readiness, including coverage, quality, freshness, granularity, representativeness, bias, and usage limitations.
- Establish and evolve analytical standards and modeling best practices.
- Coach peers, share learnings, and contribute to trade-off decisions regarding priorities, risks, and effort.
- Support Applied AI in defining ground truth, evaluation datasets, performance metrics, and exploratory analyses.
- Collaborate with Data Ops, data governance, UX, AI Transformation, product managers, and software developers to turn insights into action.
Requirements
- University degree in statistics, mathematics, computer science, data science, or a related quantitative field (master’s degree is an asset).
- Significant experience (5+ years) in data analysis, applied statistics, and descriptive/predictive modeling in a product or operational environment.
- Proficiency in Python, R, and SQL; commonly used statistical modeling and ML libraries; and Git.
- Ability to translate complex analytical results into clear, actionable recommendations for non-technical audiences.
- Demonstrated ability to provide influence-based leadership through mentoring, facilitating practices, aligning contributors, and recommending analytical priorities in a multidisciplinary environment.
- Bilingual in French and English, both spoken and written.
- Assets: experience with Applied AI or MLOps, data governance and quality, telecommunications, networks, or a similar industrial environment.
Benefits
- EXFO is an equal opportunity employer
- Inclusive environment committed to diversity
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