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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in data analysis, applied statistics, and predictive modeling, with proficiency in Python, R, and SQL. Capable of translating complex analytical results into actionable insights while providing influence-based leadership in a multidisciplinary environment.
Highest-signal resume keywords
Data AnalysisApplied StatisticsPredictive ModelingPython ProficiencyBilingual in French and English
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data AnalysisApplied StatisticsPredictive ModelingStatistical ModelingMachine Learning LibrariesPythonRSQLGitData Readiness Assessment
Soft Skills
Influence-Based LeadershipMentoringCollaborationCommunicationFacilitation
Tools & Technologies
Statistical Modeling LibrariesData Governance ToolsData Quality ToolsApplied AI ToolsMLOps Tools
Industry Keywords
TelecommunicationsNetworksOperational EnvironmentProduct EnvironmentData Governance
Tech Stack
Tools & technologiesPythonSQL
About the role
Key responsibilities & impact- 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
What you’ll need- 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
Comp & perks- EXFO is an equal opportunity employer
- Inclusive environment committed to diversity