Scientifique des Données Lead /Lead Data Scientist AI & Innovation

at  McKesson

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.

QUALIFICATIONS :

• Diplôme de premier cycle en science des données, informatique, statistiques, mathématiques ou dans un domaine connexe (maîtrise ou doctorat préféré).
• Plus de 10 ans d’expérience en science des données, avec une expérience avérée dans la conduite de projets de science des données.
• Expertise en IA, apprentissage automatique, NLP, LLM et analyses avancées.
• Maîtrise des langages de programmation tels que Python ou R, et expérience avec des bibliothèques de manipulation de données (par exemple, Pandas, NumPy, scikit-learn).
• Solides connaissances des technologies Big Data (par exemple, Databricks) et des plateformes cloud (par exemple, Azure).
• Expérience de SQL et des outils de visualisation des données (par exemple, Power BI).
• Excellentes compétences en résolution de problèmes, en analyse et en réflexion critique.
• Excellentes compétences en communication, avec la capacité de transmettre des concepts complexes à des publics techniques et non techniques.
• Bilingue (français et anglais) préféré.
  Le.la titulaire de ce poste aura à soutenir de façon quotidienne des clients internes et/ou externes à l’extérieur du Québec et/ou aux États-Unis. Par conséquent, ce poste requiert une maîtrise de l’anglais à l’écrit et à l’oral. Veuillez noter que le nombre de postes dont les tâches requièrent une connaissance de la langue anglaise a été restreint dans la mesure du possible
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POSITION OVERVIEW:

The Lead Data Scientist will spearhead our data science initiatives, driving innovation and implementing advanced AI solutions to solve complex business challenges. This role requires a deep understanding of machine learning, statistical modeling, and AI techniques, along with strong leadership skills to mentor a dynamic team of data scientists.

QUALIFICATIONS:

• Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field (Master’s or PhD preferred).
• 10+ years of experience in data science, with a proven track record of leading data science projects.
• Expertise in AI, machine learning, NLP, LLM, and advanced analytics.
• Proficiency in programming languages such as Python or R, and experience with data manipulation libraries (e.g., Pandas, NumPy, scikit-learn).
• Strong knowledge of big data technologies (e.g., Databricks) and cloud platforms (e.g., Azure).
• Experience with SQL and data visualization tools (e.g., Power BI).
• Excellent problem-solving, analytical, and critical thinking skills.
• Strong communication skills, with the ability to convey complex concepts to both technical and non-technical audiences.
• Bilingual (French and English) preferred.
  The incumbent of this position will provide daily support to internal and/or external clients outside Quebec and/or in the United States. Therefore, he/she must be proficient in spoken and written English. Please note that the number of positions requiring English language skills has been limited where possible.
  We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here.

• Lead the development and implementation of machine learning and AI solutions to address business challenges.
• Oversee the analysis of large, complex datasets to uncover actionable insights and inform decision-making.
• Collaborate with cross-functional teams to identify opportunities for leveraging data to drive business solutions.
• Design and conduct experiments to validate hypotheses and improve models.
• Implement advanced statistical and machine learning techniques for predictive modeling and data mining.
• Build and maintain scalable data pipelines and processing systems.
• Communicate findings and recommendations to stakeholders through data visualizations, reports, and presentations.
• Stay current with the latest advancements in AI, machine learning, and data science.
• Promote a data-driven culture within the organization.
• Mentor and guide junior data scientists to ensure high-quality deliverables.