Hybrid Lead, Forward‑Deployed Decision Scientist

AstraZeneca plc

Mississauga

On-site

CAD 116,000 - 152,000

Full time

9 days ago

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Job summary

AstraZeneca plc in Mississauga, Ontario is seeking a Senior Manager, Forward Deployed Decision Scientist to drive analytics from problem definition to model deployment. The role partners with commercial teams to turn complex questions into actionable insights for HCP engagement and commercial effectiveness.

The position emphasizes AI-enabled analytics, governance, and collaboration across Brand, Market Access and Patient Services, with a hands-on focus on de-identified healthcare data and AI

Qualifications

  • Bachelor’s degree in Statistics, Biostatistics, Data Science, Econometrics, Applied Mathematics, Computer Science or equivalent.
  • Strong experience in data science, applied statistics or quantitative analytics with hands-on delivery of predictive models.
  • Proficiency in Python and SQL with relevant libraries.
  • Experience with cloud-based data platforms (Snowflake, AWS or Azure).
  • Ability to translate findings into actionable recommendations.

Responsibilities

  • Lead analytics projects from problem definition to model development, validation and implementation.
  • Collaborate with analytics leaders on priorities and methodology.
  • Develop predictive and machine learning models for commercial decision-making.
  • Translate model outputs into clear recommendations for business teams.
  • Ensure data privacy, governance and model quality across projects.
  • Communicate complex analytics clearly to technical and non-technical audiences.

Skills

Statistics
Biostatistics
Data Science
Python
SQL
Cloud platforms

Education

Bachelor's degree or higher in a quantitative field

Tools

Snowflake
Spark
MLflow
Power BI
Tableau
Qlik

Job description

AstraZeneca plc in Mississauga, Ontario is seeking a Senior Manager, Forward Deployed Decision Scientist to drive analytics from problem definition to model deployment. The role partners with commercial teams to turn complex questions into actionable insights for HCP engagement and commercial effectiveness.

The position emphasizes AI-enabled analytics, governance, and collaboration across Brand, Market Access and Patient Services, with a hands-on focus on de-identified healthcare data and AI

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