Job Title

Job Requisition ID # 25WD89433 25WD89433, Principal Data Scientist French translation to follow!/Traduction franaise suivre Position Overview Autodesk customers make sense of the world through rich streams of data - from 3D scans of buildings and fluid dynamic simulations to field notes from construction sites and product usage trends. We are looking for a Principal Data Scientist to join Autodesks Platform Strategy and Emerging Technologies (PSET) organization and use their experience in AI/ML and Data Science to develop the next generation of applied AI solutions that power our platform and enable smarter, scalable and costefficient experiences for our customers. As a Principal Data Scientist on our Platform Strategy and Emerging Technologies (PSET) - Programs & Business Excellence (PBE)team, you will play a key role in advancing the data science and AI capabilities within the company. You will serve as a subject matter expert, guiding the development and deployment of machine learning models and data driven solutions that support strategic platform capabilities. In this role, you will partner with crossfunctional teams including data scientists, data analysts, product managers, engineers and domain experts to deliver innovative solutions that drive business impact. This role requires a combination of strong technical expertise, leadership abilities, and business acumen to address complex challenges and influence strategic decisions.You will report to the Senior Manager of Data Science, PSET. Preference for candidates to work hybrid/remote in Toronto or Montreal, Canada. Responsibilities - Collaborate with Product, Engineering, and Business leaders to translate complex business challenges into testable hypotheses and impactful data science solutions - Develop & deploy endtoend AI/ML pipelines, by partnering with data engineers and contribute from data preprocessing to model training, validation, deployment, and monitoring - Design and implement advanced statistical & experimentation frameworks, including postlaunch causal inference techniques (e.g. A/B testing, propensity score matching) to measure product impact - Lead the exploration and application of Generative AI to develop scalable solutions - such as AI assistants to support platform capabilities - Build classic machine learning applications such as personalization, recommendation, and ranking systems to improve customer workflows and drive product adoption - Mentor and guide junior data scientists, conduct technical reviews, and promote best practices in experimentation, model development, and MLOps - Collaborate with a team of data scientists in developing AI/ML models and solutions over largescale data that address business problems and drive product innovation - Translate insights into actionable recommendations, effectively guiding business strategy through clear communication with crossfunctional teams - Advanced expert role, requiring deep subjectmatter knowledge and sound business acumen to advise leaders - For jobs at this level, knowledge of the business starts to become as important as subjectmatter knowledge - Incumbents translate specialized subjectmatter requirements into business needs/requirements - Require depth of specialized expertise to interpret internal/external business issues and recommend best practices to address them - Solve complex problems that require indepth evaluation of variable factors by taking a broad perspective to identify the best approach and innovative solutions. - Work independently, with close guidance in only the most complex or unusual situations - Adapt communication style to persuade various stakeholders across the business and frequently interact with senior leaders to provide advice and SME - May lead functional teams or programs within own function (or closely related functions) Responsabilits - Collaborer avec les responsables des produits, de l'ingnierie et des activits commerciales afin de traduire des dfis commerciaux complexes en hypothses testables et en solutions de science des donnes efficaces. - Dvelopper et dployer des pipelines IA/ML de bout en bout, en partenariat avec des ingnieurs de donnes, et contribuer au prtraitement des donnes, la formation, la validation, au dploiement et la surveillance des modles. - Concevoir et mettre en uvre des cadres statistiques et exprimentaux avancs, y compris des techniques d'infrence causale postlancement (par exemple, tests A/B, appariement par score de propension) pour mesurer l'impact des produits - Diriger l'exploration et l'application de l'IA gnrative afin de dvelopper des solutions volutives, telles que des assistants IA pour soutenir les capacits de la plateforme - Construire des applications classiques d'apprentissage automatique telles que des systmes de personnalisation, de recommandation et de classement afin d'amliorer les flux de travail des clients et de favoriser l'adoption des produits - Encadrer et guider les data scientists juniors, mener des revues techniques et promouvoir les meilleures pratiques en matire d'exprimentation, de dveloppement de modles et de MLOps - Collaborer avec une quipe de data scientists pour dvelopper des modles et des solutions d'IA/ML sur des donnes grande chelle qui rpondent aux problmes commerciaux et stimulent l'innovation produit - Traduire les insights en recommandations exploitables, en guidant efficacement la stratgie commerciale grce une communication claire avec les quipes interfonctionnelles - Rle d'expert avanc, ncessitant une connaissance approfondie du sujet et un sens aigu des affaires pour conseiller les dirigeants - Pour les postes de ce niveau, la connaissance de l'entreprise commence devenir aussi importante que la connaissance du sujet - Les titulaires traduisent les exigences techniques spcialises en besoins/exigences commerciales - Ncessite une expertise spcialise approfondie pour interprter les problmes commerciaux internes/externes et recommander les meilleures pratiques pour y remdier - Rsoudre des problmes complexes qui ncessitent une valuation approfondie de facteurs variables en adoptant une perspective large afin d'identifier la meilleure approche et des solutions innovantes - Travailler de manire autonome, avec un encadrement troit uniquement dans les situations les plus complexes ou inhabituelles - Adapter son style de communication pour persuader les diffrentes parties prenantes de l'entreprise et interagir frquemment avec les cadres suprieurs afin de leur fournir des conseils et une expertise - Peut diriger des quipes fonctionnelles ou des programmes au sein de sa propre fonction (ou de fonctions troitement lies) Minimum Qualifications - Bachelor's or master's degree (preferred) in Computer Science, Data Science, Machine Learning, Artificial Intelligence, or related field, or equivalent work experience - 8+ years of experience in data science, machine learning, or AI, with a proven track record of delivering successful AIdriven solutions at scale - Expertise in developing and deploying machine learning models, particularly in largescale environments, with a focus on deep learning, reinforcement learning, or natural language processing - Proficient with various statistical and machine learning techniques including classification, regression, dimension reduction, regularization, clustering and various multivariate methods - Hands of experience with design and analysis of A/B and multivariate experiments to measure the impact of product changes and business strategies with statistical rigor - Strong proficiency in programming languages such as Python, with experience in using machine learning libraries such as, PyTorch & associated libraries for AI/ML - Experience working with cloud environments like AWS and leveraging its offerings such as Lambda Bedrock, SageMaker, etc - Handson expertise in AI and LLM development with Finetuning expertise in a realworld business environment - Excellent communication skills, with the ability to present complex technical concepts to nontechnical stakeholders Qualifications souhaites - Strong publication record in toptier AI/ML conferences and journals - Experience deploying AI models for realtime applications in manufacturing or construction - Strong knowledge base of MLOps practices for efficient model deployment and scaling - Proven leadership and mentorship experience, with a passion for developing and inspiring highperforming teams 25WD89433, Data Scientist principal Learn More / Plus d'information About Autodesk / propos dAutodesk Welcome to Autodesk! Amazing things are created every day with our software from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made. We take great pride in our culture here at Autodesk its at the core of everything we do. Our culture guides the way we work and treat each other, informs how we connect with customers and partners, and defines how we show up in the world. When youre an Autodesker, you can do meaningful work that helps build a better world designed and made for all. Ready to shape the world and your future? Join us! Bienvenue chez Autodesk! Nos logiciels crent chaque jour des choses extraordinaires: des btiments les plus cologiques aux voitures les plus propres, en passant par les usines les plus intelligentes et les films succs. Nous aidons les innovateurs concrtiser leurs ides, transformant non seulement la faon dont les choses sont fabriques, mais aussi ce qui peut ltre. Nous sommes trs fiers de notre culture chez Autodesk; elle est au cur de tout ce que nous faisons. Notre culture guide notre faon de travailler et de nous comporter les uns envers les autres, influence nos interactions avec nos clients et nos partenaires, et dfinit notre image au monde. En tant quAutodeskien, vous pouvez accomplir un travail significatif qui contribue btir un monde meilleur, conu et ralis pour tous. Prt faonner le monde et votre avenir? Rejoignez-nous! Salary transparency / Transparence salariale Salary is one part of Autodesks competitive compensation package. Offers are based on the candidates experience and geographic location. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package. Le salaire est l'un des lments du programme de rmunration concurrentiel d'Autodesk. Pour les postes bass au Canada (Colombie-Britannique), nous proposons un salaire de base compris entre X et X dollars. Les offres sont bases sur l'exprience et la situation gographique du candidat et peuvent dpasser cette fourchette.En plus du salaire de base, notre programme de rmunration peut inclure des primes annuelles en espces, des commissions pour les postes commerciaux, des attributions d'actions et un ensemble complet d'avantages sociaux. Diversity & Belonging / Diversit et appurtenance We take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: https://www.autodesk.com/company/diversity-and-belonging Nous sommes fiers de cultiver une culture dappartenance o chacun peut spanouir. Pour en savoir plus, cliquez ici :https://www.autodesk.com/company/diversity-and-belonging Are you an existing contractor or consultant with Autodesk? tesvous un soustraitant ou un consultant existant dAutodesk? Please search for open jobs and apply internally (not on this external site). Veuillez rechercher des emplois vacants et postuler linterne (pas sur ce site externe). What Autodesk Has to Offer Autodesk makes the software and tools that help people imagine, design, and make a better world. If you've ever driven a highperformance car, admired a towering skyscraper, used a smartphone, or watched a great film, chances are you've experienced what millions of Autodesk customers are doing with their software. Autodesk offers their employees benefits like: - Insurance: Health/Dental/Vision/Life - Work - Life Balance - Paid volunteer time off - 6 week paid sabbatical every 4 years - Employee Resource Groups - A 'week of rest' at year's end #J-18808-Ljbffr