Senior Data Scientist - Montréal, QC, Canada - McKesson's Corporate

Description

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We are known for delivering insights, products, and services that make quality care more accessible and affordable. Together, we thrive as we shape the future of health for patients, our communities, and our people. We carry more than 35,000 products in 12 distribution centers and ultimately provide distribution to 6,300 retail pharmacies, 1,350 hospitals, long-term care centers, clinics and institutions all over Canada. We've automated 2,500 retail pharmacies and dispense over 100 million doses a year through our automation solutions. Manufacturers, healthcare providers and patients count on us for a full range of services that contribute to the quality and safety of care for us all.
At McKesson Canada, you'll help us carry out our mission to improve lives and advance healthcare. The Senior Data Scientist plays a lead role in fostering a data-driven culture. Data Scientist to join our BDSA team. In this role, you will be responsible for analyzing complex datasets, developing statistical models, and providing valuable insights to drive data-driven decision making. You will collaborate with cross-functional teams to identify business challenges, design experiments, and develop innovative solutions using advanced analytics techniques and machine learning algorithms. Additionally, you'll mentor junior team members, ensuring delivery excellence.
Analyze large and complex datasets to uncover patterns, trends, and insights that can improve business performance and decision-making.
Develop predictive models, machine learning algorithms, and statistical models to solve complex business challenges.
Collaborate with cross-functional teams to understand business requirements and develop data-driven solutions.
Design and execute experiments to test hypotheses and validate models.
Apply advanced statistical techniques and data mining algorithms to extract actionable insights from structured and unstructured data.
Build and maintain scalable data pipelines and data processing systems.
Communicate findings and recommendations to stakeholders, including non-technical audience, through visualizations, reports, and presentations.
Stay updated on advancements in data science, machine learning, and analytics.
Strong focus on delivery and Agile methodologies, leading projects from conception to implementation.
Serve as the primary resource for McKesson Canada Business Data Science inquiries.
7 + years of hands-on work experience developing and applying advanced analytics solutions in a corporate or consulting settings.
Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field. A Master's or PhD is preferred.
Proven track record as a Data Scientist, delivering data-driven solutions to complex business challenges.
Demonstrated expertise in building and deploying AI/Machine Learning solutions at scale.
Proficient in programming languages such as Python or R, and experience with data manipulation and analysis libraries (e.g., Strong knowledge of statistical techniques, machine learning algorithms, and data mining techniques.
Proficient in many of the following applied analytical techniques - clustering, regression analysis, time series analysis, NLP, neural networks, KNN, association rules, decision trees, logistic regression or similar.
Experience with big data technologies (e.g., Proficiency in SQL and experience with relational databases (Snowflake, Oracle), data visualization tools (Power BI, Tableau) , and Excel modelling and VBA.
Effective communication and presentation skills, capable of conveying complex concepts to technical and non-technical audiences.
Knowledge of pharmaceutical distribution industry is a strong asset.
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.
#At McKesson, we care about the well-being of the patients and communities we serve, and that starts with caring for our people. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Together, we thrive as we shape the future of health for patients, our communities, and our people. Nous distribuons plus de produits à partir de 12 centres de distribution à 6 300 pharmacies de détail, 1 350 hôpitaux, centres de santé longue durée, cliniques et établissements de santé partout au Canada. Les fabricants, les fournisseurs de soins de santé et les patients comptent sur nous pour une gamme complète de services qui contribuent à la qualité et l'intégrité des soins de santé pour le bénéfice de tous.
Chez McKesson, vous participerez à la création de produits et de solutions qui contribuent à la réalisation de la mission de l'entreprise, soit améliorer la qualité de vie et faire progresser les soins de santé. Le ou la scientifique principal(e) des données joue un rôle central dans la promotion d'une culture axée sur les données. Nous sommes à la recherche d'un(e) scientifique principal(e) des données motivé et possédant une excellente maîtrise de son domaine pour se joindre à notre équipe dynamique. À ce poste, vous serez responsable de l'analyse de jeux de données complexes, de l'élaboration de modèles statistiques et de la présentation de renseignements introspectifs permettant un processus décisionnel fondé sur les données. Vous collaborerez avec des équipes interfonctionnelles pour identifier des enjeux commerciaux, concevoir des expériences et élaborer des solutions innovantes au moyen de techniques d'analyse de pointe et d'algorithmes d'apprentissage automatique. Analyser des jeux de données larges et complexes pour discerner des motifs et des tendances et tirer des conclusions permettant d'améliorer le rendement de l'organisation et le processus décisionnel.
Développer des modèles prédictifs, des algorithmes d'apprentissage automatique et des modèles statistiques pour résoudre des enjeux commerciaux complexes.
Collaborer avec des équipes interfonctionnelles pour comprendre les besoins organisationnels et élaborer des solutions fondées sur les données.
Appliquer des techniques statistiques évoluées et des algorithmes d'exploration de données pour extraire des conclusions exploitables à partir de données structurées et non structurées.
Ériger et maintenir des pipelines de données extensibles et des systèmes de traitement des données.
Communiquer les conclusions et les recommandations aux parties prenantes, y compris à un public non technique, par la visualisation, les rapports et les présentations.
Se tenir à jour sur les progrès dans la science des données, l'apprentissage automatique et l'analyse.
Adopter une démarche fortement axée sur l'obtention de résultats et les méthodes Agile et diriger les projets, de la conception à la mise en œuvre.
Collaborer avec l'équipe de l'analyse des données d'entreprise afin d'intégrer de nouvelles pratiques et technologies.
Agir à titre de ressource principale pour les demandes liées à la science des données commerciales de McKesson Canada.
Au moins 7 années d'expérience pratique dans l'élaboration et l'application de solutions d'analyse poussées dans un contexte d'entreprise ou de consultation
Un baccalauréat en science des données, en informatique, en statistiques, en mathématiques ou dans un domaine connexe Une maîtrise ou un doctorat est préférable
Une feuille de route à titre de scientifique des données présentant des solutions fondées sur les données pour résoudre des problèmes commerciaux complexes
Une expertise avérée dans la conception et le déploiement de solutions d'IA et d'apprentissage automatique à grande échelle
Une maîtrise des langages de programmation comme Python ou R et une expérience dans la manipulation des données et des bibliothèques de données (p. ex., Des connaissances approfondies des techniques statistiques, des algorithmes d'apprentissage automatique et des techniques d'exploration des données
Une maîtrise des techniques d'analyse appliquée suivantes : le groupement de données par classe, l'analyse de régression, l'analyse des séries chronologiques, le traitement automatique des langues, les réseaux de neurones artificiels, la méthode des k plus proches voisins, les règles d'association, les arbres de décision, la régression logistique ou d'autres techniques similaires
Une expérience dans l'analyse des mégadonnées (p. ex., La maîtrise de SQL et une expérience avec les bases de données relationnelles (Snowflake, Oracle),les outils de visualisation des données (Power BI, Tableau)et la modélisation dans Excel et VBA
D'excellentes compétences en analyse, en résolution de problèmes et en réflexion critique, ainsi que la capacité d'aborder un problème sous de multiples perspectives
Des compétences dans la communication et la présentation efficaces, en mesure de communiquer des concepts complexes à un public technique et non technique
Bilinguisme (français et anglais)
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.
We carry more than 35,000 products in 12 distribution centers and ultimately provide distribution to 6,300 retail pharmacies, 1,350 hospitals, long-term care centers, clinics and institutions all over Canada. We've automated 2,500 retail pharmacies and dispense over 100 million doses a year through our automation solutions. Manufacturers, healthcare providers and patients count on us for a full range of services that contribute to the quality and safety of care for us all.
At McKesson Canada, you'll help us carry out our mission to improve lives and advance healthcare. The Senior Data Scientist plays a lead role in fostering a data-driven culture. Data Scientist to join our BDSA team. In this role, you will be responsible for analyzing complex datasets, developing statistical models, and providing valuable insights to drive data-driven decision making. You will collaborate with cross-functional teams to identify business challenges, design experiments, and develop innovative solutions using advanced analytics techniques and machine learning algorithms. Additionally, you'll mentor junior team members, ensuring delivery excellence.
Analyze large and complex datasets to uncover patterns, trends, and insights that can improve business performance and decision-making.
Develop predictive models, machine learning algorithms, and statistical models to solve complex business challenges.
Collaborate with cross-functional teams to understand business requirements and develop data-driven solutions.
Design and execute experiments to test hypotheses and validate models.
Apply advanced statistical techniques and data mining algorithms to extract actionable insights from structured and unstructured data.
Build and maintain scalable data pipelines and data processing systems.
Communicate findings and recommendations to stakeholders, including non-technical audience, through visualizations, reports, and presentations.
Stay updated on advancements in data science, machine learning, and analytics.
Strong focus on delivery and Agile methodologies, leading projects from conception to implementation.
Serve as the primary resource for McKesson Canada Business Data Science inquiries.
7 + years of hands-on work experience developing and applying advanced analytics solutions in a corporate or consulting settings.
Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field. A Master's or PhD is preferred.
Proven track record as a Data Scientist, delivering data-driven solutions to complex business challenges.
Demonstrated expertise in building and deploying AI/Machine Learning solutions at scale.
Proficient in programming languages such as Python or R, and experience with data manipulation and analysis libraries (e.g., Strong knowledge of statistical techniques, machine learning algorithms, and data mining techniques.
Proficient in many of the following applied analytical techniques - clustering, regression analysis, time series analysis, NLP, neural networks, KNN, association rules, decision trees, logistic regression or similar.
Experience with big data technologies (e.g., Proficiency in SQL and experience with relational databases (Snowflake, Oracle), data visualization tools (Power BI, Tableau) , and Excel modelling and VBA.
Effective communication and presentation skills, capable of conveying complex concepts to technical and non-technical audiences.
Knowledge of pharmaceutical distribution industry is a strong asset.
Bilingual (French & English).
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.
#At McKesson, we care about the well-being of the patients and communities we serve, and that starts with caring for our people. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The job skill requirements, qualifications, and preferred experience are determined by a subsidiary, office or department within the company which is offering the position, and all positions are subject to local prevailing employment laws and restrictions. This would include immigration laws pertaining to work authorization requirements and any other applicable government permissions or compliance.
The materials on this site are provided without warranties of any kind, either expressed or implied, including but not limited to warranties regarding the completeness of information contained on this site or in any referenced links. While McKesson attempts to update this site on a timely basis, the information is effective only as of the time and date of posting.
McKesson is an equal opportunity employer and values diversity in its workforce. We encourage applications from all qualified individuals and will accommodate applicants' needs, up to the point of undue hardship, throughout all stages of the recruitment and selection process.
The information on this site is for information purpose only and is not intended to be relied upon with legal consequence.
Current employees must apply through internal career site.
We are known for delivering insights, products, and services that make quality care more accessible and affordable. Together, we thrive as we shape the future of health for patients, our communities, and our people.