Scientifique Principal(e) Des Données / Senior Data Scientist

Saint-Laurent, QC, Canada

Job Description

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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 \xe2\x80\x93 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\xe2\x80\x99s health today, we want to hear from you.





McKesson touche la vie des patients en \xc5\x93uvrant dans pratiquement tous les secteurs des soins de sant\xc3\xa9 dans le but d\xe2\x80\x99am\xc3\xa9liorer la sant\xc3\xa9 en g\xc3\xa9n\xc3\xa9ral. Chez McKesson Canada, nous cr\xc3\xa9ons un impact dans la vie de 12 millions de Canadiens, chaque jour. Nous distribuons plus de 35 000 produits \xc3\xa0 partir de 12 centres de distribution \xc3\xa0 6 300 pharmacies de d\xc3\xa9tail, 1 350 h\xc3\xb4pitaux, centres de sant\xc3\xa9 longue dur\xc3\xa9e, cliniques et \xc3\xa9tablissements de sant\xc3\xa9 partout au Canada. Toutefois, nous sommes beaucoup plus qu\'une entreprise de distribution. Nous avons automatis\xc3\xa9 2 500 pharmacies de d\xc3\xa9tail et distribuons annuellement plus de 100 millions de doses de m\xc3\xa9dicaments gr\xc3\xa2ce \xc3\xa0 nos solutions d\'automatisation. Les fabricants, les fournisseurs de soins de sant\xc3\xa9 et les patients comptent sur nous pour une gamme compl\xc3\xa8te de services qui contribuent \xc3\xa0 la qualit\xc3\xa9 et l\'int\xc3\xa9grit\xc3\xa9 des soins de sant\xc3\xa9 pour le b\xc3\xa9n\xc3\xa9fice de tous. Chez McKesson, vous participerez \xc3\xa0 la cr\xc3\xa9ation de produits et de solutions qui contribuent \xc3\xa0 la r\xc3\xa9alisation de la mission de l\xe2\x80\x99entreprise, soit am\xc3\xa9liorer la qualit\xc3\xa9 de vie et faire progresser les soins de sant\xc3\xa9. Travailler ici repr\xc3\xa9sente une occasion d\xe2\x80\x99\xc3\xa9difier une industrie qui est vitale pour nous tous.

R\xc3\xa9sum\xc3\xa9 des fonctions

Le ou la scientifique principal(e) des donn\xc3\xa9es joue un r\xc3\xb4le central dans la promotion d\xe2\x80\x99une culture ax\xc3\xa9e sur les donn\xc3\xa9es. Nous sommes \xc3\xa0 la recherche d\xe2\x80\x99un(e) scientifique principal(e) des donn\xc3\xa9es motiv\xc3\xa9 et poss\xc3\xa9dant une excellente ma\xc3\xaetrise de son domaine pour se joindre \xc3\xa0 notre \xc3\xa9quipe dynamique. \xc3\x80 ce poste, vous serez responsable de l\xe2\x80\x99analyse de jeux de donn\xc3\xa9es complexes, de l\xe2\x80\x99\xc3\xa9laboration de mod\xc3\xa8les statistiques et de la pr\xc3\xa9sentation de renseignements introspectifs permettant un processus d\xc3\xa9cisionnel fond\xc3\xa9 sur les donn\xc3\xa9es. Vous collaborerez avec des \xc3\xa9quipes interfonctionnelles pour identifier des enjeux commerciaux, concevoir des exp\xc3\xa9riences et \xc3\xa9laborer des solutions innovantes au moyen de techniques d\xe2\x80\x99analyse de pointe et d\xe2\x80\x99algorithmes d\xe2\x80\x99apprentissage automatique. De plus, vous veillerez au mentorat de membres subalternes pour assurer l\xe2\x80\x99excellence.

Partie A \xe2\x80\x93 Responsabilit\xc3\xa9s sp\xc3\xa9cifiques

  • Analyser des jeux de donn\xc3\xa9es larges et complexes pour discerner des motifs et des tendances et tirer des conclusions permettant d\xe2\x80\x99am\xc3\xa9liorer le rendement de l\xe2\x80\x99organisation et le processus d\xc3\xa9cisionnel.
  • D\xc3\xa9velopper des mod\xc3\xa8les pr\xc3\xa9dictifs, des algorithmes d\xe2\x80\x99apprentissage automatique et des mod\xc3\xa8les statistiques pour r\xc3\xa9soudre des enjeux commerciaux complexes.
  • Collaborer avec des \xc3\xa9quipes interfonctionnelles pour comprendre les besoins organisationnels et \xc3\xa9laborer des solutions fond\xc3\xa9es sur les donn\xc3\xa9es.
  • Concevoir et ex\xc3\xa9cuter des exp\xc3\xa9riences pour mettre \xc3\xa0 l\xe2\x80\x99essai des hypoth\xc3\xa8ses et valider les mod\xc3\xa8les.
  • Appliquer des techniques statistiques \xc3\xa9volu\xc3\xa9es et des algorithmes d\xe2\x80\x99exploration de donn\xc3\xa9es pour extraire des conclusions exploitables \xc3\xa0 partir de donn\xc3\xa9es structur\xc3\xa9es et non structur\xc3\xa9es.
  • \xc3\x89riger et maintenir des pipelines de donn\xc3\xa9es extensibles et des syst\xc3\xa8mes de traitement des donn\xc3\xa9es.
  • Communiquer les conclusions et les recommandations aux parties prenantes, y compris \xc3\xa0 un public non technique, par la visualisation, les rapports et les pr\xc3\xa9sentations.
  • Se tenir \xc3\xa0 jour sur les progr\xc3\xa8s dans la science des donn\xc3\xa9es, l\xe2\x80\x99apprentissage automatique et l\xe2\x80\x99analyse.
  • Adopter une d\xc3\xa9marche fortement ax\xc3\xa9e sur l\xe2\x80\x99obtention de r\xc3\xa9sultats et les m\xc3\xa9thodes Agile et diriger les projets, de la conception \xc3\xa0 la mise en \xc5\x93uvre.
  • Collaborer avec l\xe2\x80\x99\xc3\xa9quipe de l\xe2\x80\x99analyse des donn\xc3\xa9es d\xe2\x80\x99entreprise afin d\xe2\x80\x99int\xc3\xa9grer de nouvelles pratiques et technologies.
  • Agir \xc3\xa0 titre de ressource principale pour les demandes li\xc3\xa9es \xc3\xa0 la science des donn\xc3\xa9es commerciales de McKesson Canada.

Partie B \xe2\x80\x93 Exigences relatives au poste

  • Au moins 7 ann\xc3\xa9es d\xe2\x80\x99exp\xc3\xa9rience pratique dans l\xe2\x80\x99\xc3\xa9laboration et l\xe2\x80\x99application de solutions d\xe2\x80\x99analyse pouss\xc3\xa9es dans un contexte d\xe2\x80\x99entreprise ou de consultation
  • Un baccalaur\xc3\xa9at en science des donn\xc3\xa9es, en informatique, en statistiques, en math\xc3\xa9matiques ou dans un domaine connexe Une ma\xc3\xaetrise ou un doctorat est pr\xc3\xa9f\xc3\xa9rable
  • Une feuille de route \xc3\xa0 titre de scientifique des donn\xc3\xa9es pr\xc3\xa9sentant des solutions fond\xc3\xa9es sur les donn\xc3\xa9es pour r\xc3\xa9soudre des probl\xc3\xa8mes commerciaux complexes
  • Une expertise av\xc3\xa9r\xc3\xa9e dans la conception et le d\xc3\xa9ploiement de solutions d\xe2\x80\x99IA et d\xe2\x80\x99apprentissage automatique \xc3\xa0 grande \xc3\xa9chelle
  • Une ma\xc3\xaetrise des langages de programmation comme Python ou R et une exp\xc3\xa9rience dans la manipulation des donn\xc3\xa9es et des biblioth\xc3\xa8ques de donn\xc3\xa9es (p. ex., Pandas, NumPy, scikit-learn)
  • Des connaissances approfondies des techniques statistiques, des algorithmes d\xe2\x80\x99apprentissage automatique et des techniques d\xe2\x80\x99exploration des donn\xc3\xa9es
  • Une ma\xc3\xaetrise des techniques d\xe2\x80\x99analyse appliqu\xc3\xa9e suivantes : le groupement de donn\xc3\xa9es par classe, l\xe2\x80\x99analyse de r\xc3\xa9gression, l\xe2\x80\x99analyse des s\xc3\xa9ries chronologiques, le traitement automatique des langues, les r\xc3\xa9seaux de neurones artificiels, la m\xc3\xa9thode des k plus proches voisins, les r\xc3\xa8gles d\xe2\x80\x99association, les arbres de d\xc3\xa9cision, la r\xc3\xa9gression logistique ou d\xe2\x80\x99autres techniques similaires
  • Une exp\xc3\xa9rience dans l\xe2\x80\x99analyse des m\xc3\xa9gadonn\xc3\xa9es (p. ex., Databricks, Hadoop, Spark) et avec les plateformes de nuage (p. ex., Azure, AWS) constitue un atout
  • La ma\xc3\xaetrise de SQL et une exp\xc3\xa9rience avec les bases de donn\xc3\xa9es relationnelles (Snowflake, Oracle), les outils de visualisation des donn\xc3\xa9es (Power BI, Tableau) et la mod\xc3\xa9lisation dans Excel et VBA
  • D\xe2\x80\x99excellentes comp\xc3\xa9tences en analyse, en r\xc3\xa9solution de probl\xc3\xa8mes et en r\xc3\xa9flexion critique, ainsi que la capacit\xc3\xa9 d\xe2\x80\x99aborder un probl\xc3\xa8me sous de multiples perspectives
  • Des comp\xc3\xa9tences dans la communication et la pr\xc3\xa9sentation efficaces, en mesure de communiquer des concepts complexes \xc3\xa0 un public technique et non technique
  • Une connaissance du milieu pharmaceutique constitue un atout majeur
  • Bilinguisme (fran\xc3\xa7ais et anglais)
  • Le/la titulaire de ce poste aura \xc3\xa0 soutenir de fa\xc3\xa7on quotidienne des clients internes et/ou externes \xc3\xa0 l\xe2\x80\x99ext\xc3\xa9rieur du Qu\xc3\xa9bec et/ou aux \xc3\x89tats-Unis. Par cons\xc3\xa9quent, ce poste requiert une ma\xc3\xaetrise de l\xe2\x80\x99anglais \xc3\xa0 l\xe2\x80\x99\xc3\xa9crit et \xc3\xa0 l\xe2\x80\x99oral. Veuillez noter que le nombre de postes dont les t\xc3\xa2ches requi\xc3\xa8rent une connaissance de la langue anglaise a \xc3\xa9t\xc3\xa9 restreint dans la mesure du possible.
McKesson is in the business of better health and we touch the lives of patients in virtually every aspect of healthcare. At McKesson Canada, we touch the lives of 12 million Canadians every day. 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. But we\'re so much more than a distribution company. 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\xe2\x80\x99ll help us carry out our mission to improve lives and advance healthcare. Working here is your opportunity to shape an industry that\xe2\x80\x99s vital to us all. Job Summary The Senior Data Scientist plays a lead role in fostering a data-driven culture. We are in search of a highly proficient and driven Sr. 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.

Section A \xe2\x80\x93 Specific Responsibilities

  • 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.
  • Collaborate with the Enterprise Analytics team to integrate new practices and technologies.
  • Serve as the primary resource for McKesson Canada Business Data Science inquiries.

Section B \xe2\x80\x93 Position Requirements

  • 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., Pandas, NumPy, scikit-learn).
  • 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., Databricks, Hadoop, Spark) and cloud platforms (e.g., Azure, AWS) is a plus.
  • Proficiency in SQL and experience with relational databases (Snowflake, Oracle), data visualization tools (Power BI, Tableau), and Excel modelling and VBA.
  • Excellent problem-solving and analytical skills, with the ability to think critically and approach challenges from multiple angles.
  • 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).
  • 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.
  • #LI-JT2
At McKesson, we care about the well-being of the patients and communities we serve, and that starts with caring for our people. That\xe2\x80\x99s why we have a Total Rewards package that includes comprehensive benefits to support physical, mental, and financial well-being. Our Total Rewards offerings serve the different needs of our diverse employee population and ensure they are the healthiest versions of themselves. For more information regarding benefits at McKesson, please click here. As part of Total Rewards, we are proud to offer a competitive compensation package at McKesson. 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.

Our Base Pay Range for this position

$82,400 - $137,400 McKesson is an Equal Opportunity employer. The material contained herein is provided for informational purpose only. All open jobs offered by McKesson on this recruitment system are subject to specific job skill requirements. 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. Join us at McKesson!

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Job Detail

  • Job Id
    JD2299153
  • Industry
    Not mentioned
  • Total Positions
    1
  • Job Type:
    Full Time
  • Salary:
    Not mentioned
  • Employment Status
    Permanent
  • Job Location
    Saint-Laurent, QC, Canada
  • Education
    Not mentioned