Future Opportunities Entry Level AI Roles

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Résumé du poste

LAssocié(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 daméliorer les services aux clients et les offres de produits. Le poste implique le développement et la programmation de logiciels dalgorithmes 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 dalgorithmes et de flux de travail automatisés pour lintégration et lanalyse des données.

• Soutenir les activités de nettoyage et de transformation des données afin dassurer 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 daffaires 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 lanalyse des données.

• Sengager dans un apprentissage continu par le biais de formations formelles et en cours demploi.

Connaissances et compétences

• Compréhension de base des principes de la science des données des méthodes statistiques et des concepts dapprentissage 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 déquipe.

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 danalyse de données acquise par des cours des stages ou des projets.

• Peut être en voie dobtenir 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

• Bachelors 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 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 pleaseclick here.

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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 McKessons full Equal Employment Opportunity policies visit our Equal Employment Opportunity page.

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