Data Scientist- Vertex AI

Job Summary

Serve as a senior data scientist within a hybrid work model designing and deploying robust analytics and machine learning solutions using Python Vertex AI BigQuery and GIT to address complex business challenges enhance decision quality and drive measurable value for global retail and merchandising focused initiatives across the enterprise.

Responsibilities

• Develop scalable machine learning models using Python to solve complex forecasting recommendation and optimization problems that directly improve business performance and customer satisfaction in a global context.
• Design and implement end to end data pipelines that move transform and validate large scale datasets in BigQuery ensuring accuracy consistency and timely availability of data for analytics and modeling activities.
• Configure and orchestrate production grade machine learning workflows on Vertex AI to enable reproducible experimentation model training tuning and automated deployment with strong focus on reliability and maintainability.
• Apply rigorous exploratory data analysis techniques to uncover hidden patterns anomalies and opportunities in structured and unstructured data that inform strategic decisions in merchandising and adjacent domains.
• Create robust version controlled repositories in GIT for code configuration and experiment artifacts enabling transparent collaboration traceable changes and safe rollback mechanisms for the entire data science lifecycle.
• Collaborate with product owners business analysts and engineering partners in a hybrid working environment to refine problem statements prioritize use cases and translate analytical findings into clear and actionable recommendations.
• Develop interpretable feature engineering strategies and data transformations that respect data quality constraints while maximizing predictive power model stability and fairness across diverse customer segments.
• Evaluate multiple algorithmic approaches using well defined metrics cross validation strategies and backtesting frameworks to select models that balance accuracy robustness latency and operational cost.
• Communicate complex model behavior assumptions and limitations through concise visualizations and narratives tailored to nontechnical partners to build trust and drive adoption of data driven solutions.
• Implement monitoring alerting and performance dashboards for models deployed through Vertex AI and BigQuery to detect data drift concept drift and service degradation before they impact business outcomes.
• Ensure compliance with data governance privacy and security guidelines by applying appropriate access controls anonymization techniques and documentation practices across all analytics assets.
• Mentor junior data science practitioners through code reviews knowledge sharing sessions and collaborative problem solving that raise the overall technical bar and promote a culture of responsible innovation.
• Align every analytics initiative with broader company objectives by quantifying business impact tracking realized value and highlighting how improved insights support more sustainable and inclusive outcomes for society.

Qualifications

• Possess ten to twelve years of hands on experience in advanced analytics and data science roles with a consistent record of delivering production grade machine learning solutions in complex organizational environments.
• Demonstrate expert proficiency in Python for data wrangling statistical analysis model development and automation including strong familiarity with widely used scientific and machine learning libraries.
• Show deep practical experience with BigQuery including writing optimized queries designing efficient schemas and managing large analytical workloads in a cloud native ecosystem.
• Exhibit strong working knowledge of Vertex AI services covering experiment tracking pipeline development model registry usage and deployment of scalable online or batch prediction services.
• Apply disciplined source control practices using GIT for branching code review and integration workflows that support collaborative development within distributed hybrid teams.
• Display solid understanding of merchandising or retail analytics concepts such as assortment optimization demand forecasting and promotion analysis even if exposure comes from partial or adjacent project experience.
• Demonstrate excellent communication and stakeholder engagement capabilities with the ability to translate technical insights into clear business language and influence decisions without relying on formal authority.
• Showcase strong problem solving mindset curiosity and adaptability with readiness to learn new tools techniques and domain knowledge to keep pace with evolving business and technology landscapes.

À savoir avant de postuler

• Autorisation de travail: Cognizant ne prendra en considération que les candidats à ce poste qui sont légalement autorisés à travailler au Canada sans avoir besoin d'un parrainage de l'employeur, aujourd'hui ou à l'avenir.
• Mesures d’adaptation: Si vous avez un handicap qui nécessite des mesures d’adaptation raisonnable pour effectuer une recherche d’emploi ou poser une candidature, veuillez envoyer un courriel à [email protected] avec votre demande et vos coordonnées.
• L’IA dans notre processus de recrutement: Nous utilisons des outils d'intelligence artificielle (IA) pour trier et évaluer les candidatures efficacement. Notre équipe examine ensuite les candidatures et décide qui passe à l’étape suivante.
• Poste à pourvoir: Sauf indication contraire, ce poste est actuellement vacant et nous cherchons à le pourvoir.
• Exigences linguistiques: Nous demandons à tous les candidats de posséder une connaissance de base de l’anglais afin de faciliter les communications internes. Pour les postes au Québec, la capacité à communiquer efficacement en anglais est requise car vous fournirez des services à et collaborerez avec des parties prenantes anglophones situées hors de la province.
• Inclusion: Cognizant est un employeur souscrivant au principe de l’égalité d’accès à l’emploi. Votre candidature et votre dossier ne seront pas examinés en fonction de la race, de la couleur, du sexe, de la religion, des croyances, de l'orientation sexuelle, de l'identité de genre, de l'origine nationale, du handicap, des renseignements génétiques, de la grossesse, du statut d'ancien combattant ou de toute autre caractéristique protégée par les lois fédérales, provinciales ou locales.

À propos de Cognizant
Cognizant (NASDAQ: CTSH) est un AI Builder et une entreprise de services numériques (ESN) élaborant des solutions complètes d’IA maximisant les investissements pour des résultats concrets. Sa profonde expertise des métiers, des processus et des technologies lui permet d’intégrer dans les systèmes technologiques le contexte unique de chaque organisation de l’ingénierie à la production à l’échelle. Son objectif: améliorer l’efficacité des équipes, créer de la valeur et permettre aux grandes entreprises de rester performantes dans un monde qui évolue rapidement. Pour en savoir plus: cognizant.ai ou @cognizant.