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Data Scientist, ADE Analytics

Amazon Science
Vancouver, CAN
Full-time
Entry
Onsite
CAD 85,200–142,300 annually
Discovered 1 weeks ago
Data scienceStatistical analysis and modelingSQLPythonData pipelinesETL

Full Job Posting

Team and role

Alexa Daily Essentials supports customer experiences across Timers, Alarms, Calendars, Food, and News.

The data scientist develops statistical methodologies and product insights, works with Analytics and Applied Science teammates, and scales data solutions across the organization.

Problem-solving and product insights

  • Analyze complex data to find patterns, inform product decisions, and understand anomaly root causes.
  • Develop analysis and modeling approaches that drive product and engineering actions and improve customer experience.
  • Partner with product teams to identify problems and opportunities, apply data science methods, and inform product development.
  • Work across disciplines to turn solutions into scalable, automated frameworks.

Data infrastructure

  • Build data pipelines and identify new internal and cross-Amazon data sources for analysis.
  • Acquire data by building SQL and ETL queries.

Communication and collaboration

  • Explain complex ideas to technical and non-technical audiences and translate causal insights into actionable recommendations.
  • Build stakeholder relationships and collaborate across functions.
  • Create visualizations, presentations, and dashboards to drive adoption of data assets and product insights.
  • Mentor teammates and support continuous learning and development.

Basic qualifications

  • At least one year of experience with SQL or another data-querying language, scripting language, or statistical/mathematical software.
  • At least two years of data/research scientist, statistician, or quantitative analyst experience in an internet-based company with complex, large data sources.
  • At least one year creating or contributing to mathematical textbooks, research papers, or educational content.
  • STEM master’s degree or experience working in a STEM field.

Preferred qualifications

  • A STEM Ph.D. is preferred.
  • Knowledge of statistical packages and BI tools such as SPSS, SAS, S-PLUS, or R is preferred.
  • Knowledge of machine learning concepts and clustered processing tools such as Hadoop, Spark, MapReduce, or Hive is preferred.
  • Experience evaluating AI systems, applying quantitative analysis to business problems, and communicating complex concepts is preferred.

Compensation

  • Base salary range is CAD 85,200–142,300 annually for Vancouver, British Columbia.

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