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Future Opportunities

3 hours ago

BasSaintLaurent, Canada McKesson Full time

McKesson, l'une des 10 premières entreprises du classement Fortune Global 500, touche à pratiquement tous les aspects des soins de santé et s'emploie à faire une réelle différence. Nous sommes reconnus pour notre capacité à offrir un savoir, des produits et des services qui rendent les soins de qualité plus accessibles et plus abordables. Chez nous, la santé, le bonheur et le bien-être de nos gens et des personnes que nous desservons sont prioritaires—et nous tiennent à cœur.

Ce que tu fais chez McKesson a de l'importance. Nous favorisons une culture où tu peux t'épanouir et avoir un impact, et où tu es encouragé à proposer de nouvelles idées. Ensemble, nous façonnons l'avenir de la santé pour nos patients, nos communautés et nos équipes. Si tu souhaites dès aujourd'hui contribuer à la santé de demain, nous aimerions avoir de tes nouvelles.

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.

Résumé du poste
L'Associé(e) en science des données est responsable de soutenir la conception, le développement et la mise en œuvre de méthodes, de processus et de systèmes visant à consolider et analyser des sources de données diversifiées et non structurées. Ce rôle se concentre sur la génération de recommandations et de solutions exploitables afin d'améliorer les services aux clients et les offres de produits. Le poste implique le développement et la programmation de logiciels, d'algorithmes et de processus automatisés pour nettoyer, intégrer et évaluer de grands ensembles de données provenant de sources multiples et disparates.

Responsabilités clés

  • Contribuer à la conception et au développement de modèles de données, d'algorithmes et de flux de travail automatisés pour l'intégration et l'analyse des données.
  • Soutenir les activités de nettoyage et de transformation des données afin d'assurer leur qualité et leur cohérence entre les différentes sources.
  • Collaborer avec les scientifiques des données seniors et les équipes interfonctionnelles pour fournir des analyses éclairant les décisions d'affaires et les améliorations de produits.
  • Participer à la création de tableaux de bord, de rapports et de visualisations pour communiquer efficacement les résultats.
  • Respecter les normes, procédures et meilleures pratiques établies pour la gestion et l'analyse des données.
  • S'engager dans un apprentissage continu par le biais de formations formelles et en cours d'emploi.

Connaissances et compétences

  • Compréhension de base des principes de la science des données, des méthodes statistiques et des concepts d'apprentissage automatique.
  • Familiarité avec des langages de programmation tels que Python, R ou SQL.
  • Capacité à travailler avec des données structurées et non structurées.
  • Solides compétences analytiques et en résolution de problèmes, avec une attention particulière aux détails.
  • Aptitudes efficaces en communication et en collaboration dans un environnement d'équipe.

Formation et expérience

  • Baccalauréat en science des données, informatique, statistiques, mathématiques ou dans un domaine connexe (ou expérience équivalente).
  • Expérience avec des outils et techniques d'analyse de données acquise par des cours, des stages ou des projets.
  • Peut être en voie d'obtenir des certifications professionnelles pertinentes.

Job Summary
The Associate Data Scientist is responsible for supporting the design, development, and implementation of methods, processes, and systems to consolidate and analyze unstructured, diverse data sources. This role focuses on generating actionable insights and solutions that enhance client services and product offerings. The position involves developing and coding software programs, algorithms, and automated processes to cleanse, integrate, and evaluate large datasets from multiple disparate sources.

Key Responsibilities

  • Assist in designing and developing data models, algorithms, and automated workflows for data integration and analysis.
  • Support data cleansing and transformation activities to ensure data quality and consistency across sources.
  • Collaborate with senior data scientists and cross-functional teams to deliver insights that inform business decisions and product improvements.
  • Participate in building dashboards, reports, and visualizations to communicate findings effectively.
  • Follow established standards, procedures, and best practices for data handling and analysis.
  • Engage in continuous learning through formal and on-the-job training programs.

Knowledge & Skills

  • Basic understanding of data science principles, statistical methods, and machine learning concepts.
  • Familiarity with programming languages such as Python, R, or SQL.
  • Ability to work with structured and unstructured data.
  • Strong analytical and problem-solving skills with attention to detail.
  • Effective communication and collaboration skills within a team environment.

Education & Experience

  • Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field (or equivalent experience).
  • Exposure to data analysis tools and techniques through coursework, internships, or projects.
  • May be working toward relevant professional certifications.

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.

McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson's (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind:

McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application.

McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates.

McKesson job postings are posted on our career site:

McKesson is an Equal Opportunity Employer
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.

Join us at McKesson