Data Scientist at Shift building complex models for credit risk and fraud. Collaborating with teams to innovate financial solutions for Australian SMEs.
About the role
- Senior Data Scientist at McKesson developing innovative ML solutions to improve business outcomes. Collaborating with teams to implement data-driven strategies and advanced analytics.
Responsibilities
- Drive the full lifecycle of advanced analytics and machine learning solutions
- Identify opportunities for leveraging company data to drive innovative machine learning solutions
- Develop and implement strategies that enhance operational efficiency
- Apply advanced analytics to evaluate organizational performance and support strategic initiatives
- Develop custom machine learning models and algorithms tailored to business needs
- Collaborate with cross-functional teams to deploy, monitor, and maintain ML models
- Ensure model governance, documentation, and performance benchmarking
- Build and maintain scalable data infrastructure to support decision-making
Requirements
- Bachelors in math, statistics, engineering, or another STEM field or equivalent experience
- 8+ years of relevant experience
- 7+ years of hands-on data science experience delivering models to production with measurable business impact
- 4+ years leading projects or small teams as a tech lead
- Experience in at least two or more relevant domain (pricing, contracting, demand forecasting, supply-chain optimization, commercial analytics, patient/customer experience)
- Supervised/unsupervised learning, time-series, causal methods/experimentation, optimization
- Expert in Python and SQL
- Proficiency with PySpark, Azure ML, MLflow, model registries, monitoring/telemetry, CI/CD
- Executive storytelling; ability to translate technical results into decisions and outcomes.
Benefits
- Competitive compensation package
- Annual bonus opportunities
- Total rewards program
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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