McKesson, one of the first 10 companies in the Global 500 Fortune ranking, affects practically all aspects of health care adn is working to make a real difference. We are recognized for our ability to provide knowledge, products and services that make quality care more accessible and more affordable. With us, the health, the happiness and the well-being of our people and the people we serve are priority-and are critically important to us.
What you do at McKesson is critically important. We favor a culture where you can flourish and have an impact, and where you are encouraged to offer new ideas. Together, we feel the future of health for our patients, our communities and our teams. If you want to contribute to the health of tomorrow today, we woudl like to hear from you.
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.
Join the analytical team of generics within the McKesson technological division as an analyst in business intelligence. This role supports strategic decisions by developing and maintaining dashboards and analyzes focused on key performance indicators.
What you will do
analyze and interpret data to support commercial decisions, by presenting the results in the form of reports, dashboards, graphics, etc.
Collaborate with stakeholders to transform ambiguous issues into structured analytical solutions.
Identify opportunities for improving processes and reccommend operational optimizations.
Design automatic learning models (e.g. regression, grouping, prediction of temporal series) to support initiatives for pricing, segmentation and optimization of campaigns.
Develop visualizations and dashboards in power Bi to communicate the results to non -technical audiences.
Carry out A/B tests and scenarios simulations to assess pricing and campaign strategies.
Work in collaboration with team members to ensure the punctual delivery of high quality analytical products.
What you bring
Master of Snowflake,SQL,Python,Databricks and Power Bi.
Solid understanding of statistical methods, automatic learning algorithms and data modeling.
Excellent written and oral communication skills.
Ability to manage several tasks and work effectively under pressure in a dynamic surroundings.
Acute detail and excellent organizational skills.
Aptitudes proven to solve problems and critical thinking.
Emotional intelligence and demonstrated self -awareness.Minimum requirements
Desired skills and experiences
Licence or master’s degree in data science,analytical,computer science or related field.
More than 5 years of experience in the field of data science or analytics.
Experience in A/B tests and scenarios simulations.
Knowledge of pricing and campaign optimization strategies.
Linguistic note: The holder of this position must provide daily support to internal and/or external customers located outside Quebec and/or in the United States. Consequently, a master’s deeper mastery and written is required. Please note that the number of positions requiring English skills has been limited as much as possible.
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Summary
Join McKesson’s Generics Analytics team within the Technology division as a business Intelligence analyst.
Job Description Summary: Data Scientist
This job description outlines the requirements for a Data Scientist position at McKesson. Here’s a breakdown of the key aspects:
Role Overview:
The Data Scientist will be responsible for leveraging data to solve business problems, improve processes, and optimize pricing and campaign strategies. This involves collaborating with stakeholders, building machine learning models, creating data visualizations, and conducting A/B testing.
key Responsibilities:
Problem Solving & Collaboration: Translate business needs into analytical solutions and work with stakeholders.
Process Betterment: Identify and recommend improvements based on data analysis.
Model building: Develop and implement machine learning models (regression, clustering, time series forecasting) for pricing, segmentation, and campaign optimization.
Data Visualization: Create Power BI dashboards to communicate insights to non-technical audiences. Testing & Simulation: Conduct A/B testing and scenario simulations to evaluate strategies.
Teamwork: Collaborate with team members to deliver high-quality analytics products.
Required Skills & Experience (“What You Bring”):
Technical Skills: Proficiency in Snowflake, SQL, Python, Databricks, and power BI is essential.
Analytical Skills: Strong understanding of statistical methods, machine learning algorithms, and data modeling.
Communication Skills: Excellent verbal and written communication skills.
Soft Skills: Ability to manage multiple tasks, work under pressure, pay attention to detail, and demonstrate problem-solving, critical thinking, self-awareness, and emotional intelligence.
Minimum Requirements:
bachelor’s or Master’s degree in Data Science, Analytics, Computer Science, or a related field.
5+ years of experience in data science or analytics.
Experience with A/B testing and scenario simulations.
Familiarity with pricing and campaign optimization.
Language requirement:
Proficiency in spoken and written English is required due to supporting clients outside of Quebec and in the United States.
Compensation:
Base Pay Range: $70,600 – $117,600 (This is subject to factors like performance, experience, skills, and location).
Potential for additional compensation like bonuses or long-term incentives.
Competitive benefits package (link provided).
Equal Prospect Employer:
* McKesson is committed to diversity and inclusion and provides equal employment opportunities to all applicants and employees.
In essence, this is a well-rounded Data Science role requiring both strong technical skills and the ability to translate data insights into actionable business strategies.