Lead Data Scientist
- Canada
Full-time
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Job details
- Job type
- Full-time
- Posting language
- English
- Posted
Original job description
About The Company
Job Description - Data Scientist - Level 5
McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care.
What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you.
About The Role
The Data Scientist - Level 5 serves as a strategic leader in advancing McKesson's data science capabilities to solve complex business and IT challenges. This position is responsible for designing, developing, and deploying advanced predictive analytics and machine learning models that enable data-driven decision-making across the enterprise. Operating within a regulated environment, the role ensures compliance while driving innovation and measurable impact.
This role directs the integration of large, varied datasets, architects specialized databases, and oversees computing environments for data science projects. The Data Scientist collaborates with engineering, service teams, and business stakeholders to align solutions with enterprise priorities. Additionally, the position provides technical guidance, mentorship, and thought leadership to promote best practices and foster data literacy across the organization.
Qualifications
Expertise in model deployment patterns (batch/stream) and scalable scoring solutions.
Expertise in model evaluation frameworks, champion-challenger testing, and lifecycle metrics.
Expertise in ML model interpretability for governance and audit requirements.
Expertise in predictive modeling across diverse business problem types under production constraints.
Advanced capability in synthetic data generation for augmentation and privacy-preserving use.
Strong business acumen and ability to translate analytical findings into actionable recommendations.
Ability to lead design and development of advanced analytics solutions across teams.
Ability to provide technical guidance and mentor junior data scientists to ensure quality delivery.
Responsibilities
Lead the design, development, and deployment of advanced predictive analytics and machine learning models to address complex business and IT challenges.
Oversee integration and preparation of large datasets, architect specialized databases, and manage computing environments for data science projects.
Provide technical guidance and mentorship to data science team members, ensuring adherence to best practices in modeling, automation, and visualization.
Direct the creation and presentation of data visualizations, dashboards, and analytical findings to leadership, IT, and business stakeholders.
Collaborate with engineering and service management teams to align data science solutions with business needs and coordinate resources for successful execution.
Communicate predictions and insights to leadership, recommending effective changes to procedures, processes, and strategies.
Present findings and recommendations to leadership, supporting enterprise-wide data-driven decision-making.
Drive adoption of emerging technologies and innovative approaches to strengthen McKesson's data science capabilities.
Benefits
At McKesson, we are committed to offering a competitive total rewards package that recognizes your skills, experience, and contributions. Our benefits include comprehensive health insurance, retirement plans, paid time off, professional development opportunities, and wellness programs. We also provide resources to support your growth and work-life balance, fostering a positive and inclusive work environment. Details of benefits may vary based on location and employment status, and we encourage you to discuss specific offerings during the interview process.
Equal Opportunity
McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page.
McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to the appropriate contact listed on our career site. Resumes or CVs submitted to this email box will not be accepted.
Job Description - Data Scientist - Level 5
McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care.
What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you.
About The Role
The Data Scientist - Level 5 serves as a strategic leader in advancing McKesson's data science capabilities to solve complex business and IT challenges. This position is responsible for designing, developing, and deploying advanced predictive analytics and machine learning models that enable data-driven decision-making across the enterprise. Operating within a regulated environment, the role ensures compliance while driving innovation and measurable impact.
This role directs the integration of large, varied datasets, architects specialized databases, and oversees computing environments for data science projects. The Data Scientist collaborates with engineering, service teams, and business stakeholders to align solutions with enterprise priorities. Additionally, the position provides technical guidance, mentorship, and thought leadership to promote best practices and foster data literacy across the organization.
Qualifications
Expertise in model deployment patterns (batch/stream) and scalable scoring solutions.
Expertise in model evaluation frameworks, champion-challenger testing, and lifecycle metrics.
Expertise in ML model interpretability for governance and audit requirements.
Expertise in predictive modeling across diverse business problem types under production constraints.
Advanced capability in synthetic data generation for augmentation and privacy-preserving use.
Strong business acumen and ability to translate analytical findings into actionable recommendations.
Ability to lead design and development of advanced analytics solutions across teams.
Ability to provide technical guidance and mentor junior data scientists to ensure quality delivery.
Responsibilities
Lead the design, development, and deployment of advanced predictive analytics and machine learning models to address complex business and IT challenges.
Oversee integration and preparation of large datasets, architect specialized databases, and manage computing environments for data science projects.
Provide technical guidance and mentorship to data science team members, ensuring adherence to best practices in modeling, automation, and visualization.
Direct the creation and presentation of data visualizations, dashboards, and analytical findings to leadership, IT, and business stakeholders.
Collaborate with engineering and service management teams to align data science solutions with business needs and coordinate resources for successful execution.
Communicate predictions and insights to leadership, recommending effective changes to procedures, processes, and strategies.
Present findings and recommendations to leadership, supporting enterprise-wide data-driven decision-making.
Drive adoption of emerging technologies and innovative approaches to strengthen McKesson's data science capabilities.
Benefits
At McKesson, we are committed to offering a competitive total rewards package that recognizes your skills, experience, and contributions. Our benefits include comprehensive health insurance, retirement plans, paid time off, professional development opportunities, and wellness programs. We also provide resources to support your growth and work-life balance, fostering a positive and inclusive work environment. Details of benefits may vary based on location and employment status, and we encourage you to discuss specific offerings during the interview process.
Equal Opportunity
McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page.
McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to the appropriate contact listed on our career site. Resumes or CVs submitted to this email box will not be accepted.
More about this job
Responsibilities
Lead the design, development, and deployment of predictive analytics and machine learning solutions, while overseeing data integration, database architecture, and computing environments. Mentor data science team members, communicate insights and recommendations to stakeholders, and drive adoption of emerging technologies and enterprise data science practices.
Requirements
Requires expertise in production model deployment, evaluation, interpretability, predictive modeling, and synthetic data generation, along with the ability to work within regulated environments. The role also calls for strong business acumen, cross-team leadership, stakeholder communication, and the ability to mentor junior data scientists.
Skills
- Predictive Modeling
- Machine Learning
- Model Deployment
- Scalable Scoring
- Model Evaluation
- Champion-Challenger Testing
- Model Interpretability
- Synthetic Data Generation
- Data Integration
- Database Architecture
- Data Visualization
- Dashboard Development
- Mentorship
- Stakeholder Communication
- Business Acumen
- Regulatory Compliance
Benefits
- Health Insurance
- Retirement Plans
- Paid Time Off
- Professional Development
- Wellness Programs
Visa sponsorship
Not detected in the job text
Categories
- Data & Analytics
- Technology
- Science & Research
- Management & Leadership
- Healthcare
Keywords
- Data Science
- Predictive Analytics
- Machine Learning
- Batch Deployment
- Stream Deployment
- Scalable Scoring
- Model Evaluation Frameworks
- Champion-Challenger Testing
- Lifecycle Metrics
- Model Interpretability
- Governance
- Audit Requirements
- Synthetic Data Generation
- Privacy-Preserving Data
- Data Integration
- Specialized Databases
- Computing Environments
- Data Visualization
- Dashboards
- Automation
- Regulatory Compliance
- Data-Driven Decision-Making
- Healthcare
- Enterprise Analytics
- Stakeholder Management