Senior Manager, Forward Deployed Decision Scientist

Alexion Pharma Spain S.L.; Mississauga; Hybrid; CAD 116,000 - 152,000; Full time

Benefits offered by this job

Flex Benefits & Retirement Savings

4 weeks’ paid vacation

Personal Days annually

Job summary

AstraZeneca in Mississauga, Ontario, is seeking a Senior Manager, Forward Deployed Decision Scientist to lead analytics projects from problem definition through model deployment.

You will collaborate with commercial teams to turn complex business questions into actionable insights, leveraging survival analysis, forecasting and causal inference to improve adherence, patient journeys and commercial effectiveness.

Qualifications

• Bachelor’s degree in Statistics/Data Science or related field or equivalent experience.
• Strong experience in data science, applied statistics or quantitative analytics with predictive modeling.
• Proficiency in Python and SQL with statistical/machine learning libraries.
• Experience with cloud data platforms such as Snowflake, AWS or Azure.

Responsibilities

• Apply statistical methods, experimental design and regression techniques to solve business problems.
• Develop, validate and deploy predictive and ML models.
• Use survival analysis, forecasting and causal inference for adherence and commercial effectiveness.
• Translate model outputs into actionable recommendations for decision-makers.
• Lead analytics projects, manage milestones and communicate with stakeholders.
• Ensure data privacy, governance and model explainability.

Skills

Python

SQL

Statistical modeling

Machine learning

Experimental design

Education

Bachelor's degree in Statistics, Biostatistics, Data Science, Econometrics, Applied Mathematics or related field

Tools

Snowflake

Snowpark

Spark

MLflow

Power BI

Job description

AstraZeneca in Mississauga, Ontario, is seeking a Senior Manager, Forward Deployed Decision Scientist to lead analytics projects from problem definition through model deployment.

You will collaborate with commercial teams to turn complex business questions into actionable insights, leveraging survival analysis, forecasting and causal inference to improve adherence, patient journeys and commercial effectiveness.