Role Description Nous sommes à la recherche d’un·e Scientifique de données talentueux·se pour se joindre à notre équipe. À titre de Scientifique de données, vous collaborez avec une équipe multidisciplinaire composée développeur.euse.s et de scientifiques afin de mener des travaux de recherche à fort impact en intelligence artificielle et en apprentissage automatique. Votre travail contribuera directement au développement d’algorithmes, de modèles et de systèmes avancés qui font évoluer notre technologie. Veuillez noter que, bien que nous soyons spécialisés dans le secteur de la santé et les industries réglementées, tous nos projets ne relèvent pas de ces domaines. Vous pourriez donc être amené·e à travailler sur des projets variés dans différents secteurs, selon les besoins. Vos responsabilités quotidiennes - Développement, intégration et déploiement de modèles - Concevoir, intégrer, entraîner et optimiser des modèles d'apprentissage automatique ou d’IA générative pour répondre aux besoins clients, incluant le feature engineering et l'évaluation de performance. - Analyse et préparation des données - Explorer les données clients pour identifier les patterns et opportunités. Nettoyer et structurer les données en collaboration avec les ingénieurs data. - Communication technique avec les clients - Traduire les besoins métier en solutions techniques. Présenter les résultats et expliquer les modèles aux stakeholders non-techniques. - Veille technologique et conformité - Rester à jour sur les avancées en ML/AI et les exigences réglementaires du secteur santé (HIPAA, Loi 25, RGPD). - Documentation et reproductibilité - Documenter les approches et résultats pour assurer la traçabilité et faciliter le transfert de connaissances. Qualifications - Possédez plus de 5 ans d’expérience professionnelle. - Avez de l’expérience avec Python et les plateformes d’infonuagique. - Avez une solide compréhension des algorithmes d’apprentissage automatique et de l’apprentissage profond, plus particulièrement des modèles d’IA générative. - Avez de l’expérience dans la conception et le déploiement de pipelines d’apprentissage automatique à l’aide de technologies infonuagiques. - Avez une bonne connaissance des environnements de calcul distribué et des technologies de mégadonnées. - Maîtrisez les bonnes pratiques en développement logiciel ainsi que les systèmes de contrôle de version (p. ex. Git). - Détenez une maîtrise en IA ou dans un domaine relié à l’IA. Atouts supplémentaires - Avoir de l'expérience dans des rôles en contact avec les clients tels que le conseil ou même la gestion de produits/projets. - Avoir travaillé dans le secteur de la santé ou dans d'autres secteurs fortement réglementés. Ce que nous offrons - Nous sommes une entreprise en télétravail d’abord, avec un espace de bureau à Montréal. - Budget pour le bureau à domicile et la technologie; - Budget annuel de développement professionnel; - REER avec contribution de l’employeur après 1 an; - Dès le premier jour : Assurance santé et dentaire payée à 100 % par l’employeur, incluant un montant annuel pour les soins complémentaires (acupuncture, ostéopathie, massothérapie, naturopathie, psychologie, etc.); - Assurance vie et assurance invalidité de courte et de longue durée; - Complément de congé parental (8 semaines), disponible pour les employés ayant plus d'un an d'ancienneté, quel que soit le chemin vers la parentalité.

• Own Mozilla’s search revenue forecasting program end-to-end, including model development, scenario analysis, and executive-facing reporting • Develop and maintain forecasting models in Python, selecting appropriate approaches and validating results to ensure accuracy and reliability • Translate complex trends, assumptions, and trade-offs into clear narratives for Finance and senior leadership, including live VP-level discussions • Evaluate the impact of key drivers, uncertainties, and evolving conditions to inform planning and decision-making • Establish best practices for forecasting, validation, and reporting, and mentor other Data Scientists contributing to revenue-related work

• Evaluate and compare multiple revenue growth opportunities to inform Business Development prioritization, investment decisions, and negotiation strategy • Develop clear analytical frameworks to assess trade-offs, risks, and expected impact across competing options • Produce executive-ready reporting and dashboards that translate complex analyses into concise, decision-oriented narratives • Design measurement plans to evaluate new growth initiatives and validate assumptions over time • Ensure high standards of data validation and accuracy for analyses surfaced to senior leadership

Discover Vanderbilt University Medical Center: Located in Nashville, Tennessee, and operating at a global crossroads of teaching, discovery, and patient care, VUMC is a community of individuals who come to work each day with the simple aim of changing the world. It is a place where your expertise will be valued, your knowledge expanded, and your abilities challenged. Vanderbilt Health is committed to an environment where everyone has the chance to thrive and where your uniqueness is sought and celebrated. It is a place where employees know they are part of something that is bigger than themselves, take exceptional pride in their work and never settle for what was good enough yesterday. Vanderbilt’s mission is to advance health and wellness through preeminent programs in patient care, education, and research. Organization: VICTR Job Summary: Data Scientist 2 – VICTR JOB SUMMARY In your pivotal role of Data Scientist 2, you will make big-data discoveries, build the resources necessary to enable those discoveries, and coordinate data-related activities of the project team(s). Work closely with research informatics faculty and staff to expand and create innovative big data resources to enable data-driven translational science. Identify appropriate resources needed and develop schedules to ensure timely completion of project(s). Find insights in data, as well as solve related medium to complex problems. BASIC QUALIFICIATIONS • Master’s Degree in mathematics or statistics (or equivalent experience) (Required) • 5 years of relevant experience (Required) • PhD with 3 years of relevant experience You will work Monday-Friday, traditional daytime business hours at our office on 2525 West End Ave. in Nashville, TN, though remote work may also be a consideration. About the Department: The Vanderbilt Institute for Clinical & Translational Research (VICTR) is Vanderbilt’s virtual home for clinical and translational research. Supported by Vanderbilt University Medical Center’s Office of Research and the NIH-sponsored Clinical and Translational Service Award (CTSA), the mission of the institute is to transform the way ideas and research discoveries make their way from origin to patient care. VICTR functions to help researchers and clinicians do their jobs better by providing tools and support to improve the quality of research, publications, grant writing, and training for future doctors and researchers. For more information, please visit https://victr.vumc.org/. . KEY RESPONSIBILITIES - Build a solid data foundation in order to perform robust analytics. - Participate in multidisciplinary teams to design, develop, and recommend new approaches for data-driven decision-making. - Guide and educate data science teams to provide unbiased and accurate information, analysis, consultation, and recommendations to support strategic and operational data science initiatives. - Make strategic recommendations on data collection, integration and retention requirements, incorporating business requirements and knowledge of best practices. - Build machine learning pipelines and personalized data products. - Advise leadership on implications of the data for products, processes and decisions. - Develop and implement reproducible cross-validation frameworks to evaluate machine learning and artificial intelligence models across heterogeneous datasets and computing environments TECHNICAL CAPABILITIES INFRASTRUCTURE (INTERMEDIATE) - Identify the data-analytics problems that offer the greatest opportunities. Determine the correct data sets and variables. Collect large sets of structured and unstructured data from disparate sources. Clean and validate the data to ensure accuracy, completeness, and uniformity. Devise and applies models and algorithms to mine the stores of big data. Analyze the data to identify patterns and trends. Interpret the data to discover solutions and opportunities. ANALYSIS AND TESTING (INTERMEDIATE) - Bring structure to large quantities of formless data and make analysis possible. Identify rich data sources, join them with other, potentially incomplete data sources, clean the resulting set and validate the data to ensure accuracy, completeness, and uniformity. Identify trends, correlations, and high-level characteristics to detect key insights and make predictions. Find a story within a data set and provide a coherent narrative about key data insights. DATA PRODUCTS (INTERMEDIATE) - Use machine learning and artificial intelligence to turn massive data streams produced by operations into insights. Use programming languages such as Python, R, SQL, and Jupyter for statistics, mathematics, algorithms, modeling, data visualization, and reproducible research and reporting. Use cloud computing, cloud-based services and APIs for data storage and access, machine learning, and artificial intelligence (AI). COMMUNICATION (NOVICE) - Deliver data to internal and external customers in the form of dashboards, reports, and emails. Effectively communicate technical and business ideas and information to others, including non-technical audiences in writing, with numbers, verbally and/or visually. Share knowledge, ideas and information openly, and effectively sell new ideas and influence others. Our Academic Enterprise is one of the nation’s longest serving and most prestigious academic medical centers. Through its historic bond with Vanderbilt University and integral role in the School of Medicine, Vanderbilt Health cultivates distinguished research and educational programs to advance a clinical enterprise that provides compassionate and personalized care and support for millions of patients and family members each year. World-leading academic departments and comprehensive centers of excellence pursue scientific discoveries and transformational educational and clinical advances across the entire spectrum of health and disease. Aligning with Vanderbilt Health’s Strategic Directions, the Office of Research provides shared research resources, administrative expertise and professional guidance to enable the trans-disciplinary environment and highly collaborative culture that advances discovery and training for all the research faculty, trainees, students and staff. Core Accountabilities: Organizational Impact: Executes job responsibilities with the understanding of how output would affect and impact other areas related to own job area/team with occasional guidance. Problem Solving/ Complexity of work: Analyzes moderately complex problems using technical experience and judgment. Breadth of Knowledge: Has expanded knowledge gained through experience within a professional area. Team Interaction: Provides informal guidance and support to team members. Core Capabilities : Supporting Colleagues:- Develops Self and Others: Invests time, energy, and enthusiasm in developing self/others to help improve performance e and gain knowledge in new areas.- Builds and Maintains Relationships: Maintains regular contact with key colleagues and stakeholders using formal and informal opportunities to expand and strengthen relationships.- Communicates Effectively: Recognizes group interactions and modifies one's own communication style to suit different situations and audiences. Delivering Excellent Services:- Serves Others with Compassion: Seeks to understand current and future needs of relevant stakeholders and customizes services to better address them.- Solves Complex Problems: Approaches problems from different angles; Identifies new possibilities to interpret opportunities and develop concrete solutions.- Offers Meaningful Advice and Support: Provides ongoing support and coaching in a constructive manner to increase employees' effectiveness. Ensuring High Quality: - Performs Excellent Work: Engages regularly in formal and informal dialogue about quality; directly addresses quality issues promptly.- Ensures Continuous Improvement: Applies various learning experiences by looking beyond symptoms to uncover underlying causes of problems and identifies ways to resolve them. - Fulfills Safety and Regulatory Requirements: Understands all aspects of providing a safe environment and performs routine safety checks to prevent safety hazards from occurring. Managing Resources Effectively: - Demonstrates Accountability: Demonstrates a sense of ownership, focusing on and driving critical issues to closure.- Stewards Organizational Resources: Applies understanding of the departmental work to effectively manage resources for a department/area.- Makes Data Driven Decisions: Demonstrates strong understanding of the information or data to identify and elevate opportunities. Fostering Innovation:- Generates New Ideas: Proactively identifies new ideas/opportunities from multiple sources or methods to improve processes beyond conventional approaches.- Applies Technology: Demonstrates an enthusiasm for learning new technologies, tools, and procedures to address short-term challenges.- Adapts to Change: Views difficult situations and/or problems as opportunities for improvement; actively embraces change instead of emphasizing negative elements. Position Qualifications: Responsibilities: Certifications : Work Experience : Relevant Work Experience Experience Level : 5 years Education : Master's Vanderbilt Health is committed to fostering an environment where everyone has the chance to thrive and is committed to the principles of equal opportunity. EOE/Vets/Disabled.