Principal Data Scientist

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Principal Data Scientist

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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 Autodesk’s 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 cost-efficient experiences for our customers. Job Requisition ID #

25WD89433

25WD89433, Principal Data Scientist

French translation to follow!/Traduction française à 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 Autodesk’s 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 cost-efficient 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 cross-functional 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 end-to-end 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 post-launch 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 large-scale data that address business problems and drive product innovation Translate insights into actionable recommendations, effectively guiding business strategy through clear communication with cross-functional teams Advanced expert role, requiring deep subject-matter knowledge and sound business acumen to advise leaders For jobs at this level, knowledge of the business starts to become as important as subject-matter knowledge Incumbents translate specialized subject-matter 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 in-depth 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)

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 AI-driven solutions at scale Expertise in developing and deploying machine learning models, particularly in large-scale 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 Hands-on expertise in AI and LLM development with Finetuning expertise in a real-world business environment Excellent communication skills, with the ability to present complex technical concepts to non-technical stakeholders

Preferred Qualifications

Strong publication record in top-tier AI/ML conferences and journals Experience deploying AI models for real-time 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 high-performing teams

25WD89433, Data Scientist principal

Aperçu du poste

Les clients d'Autodesk donnent du sens au monde grâce à de riches flux de données, allant des scans 3D de bâtiments et des simulations de dynamique des fluides aux notes prises sur les chantiers et aux tendances d'utilisation des produits. Nous recherchons un scientifique principal des données pour rejoindre l'équipe PSET (Platform Strategy and Emerging Technologies) d'Autodesk et mettre à profit son expérience en IA/ML et en science des données pour développer la prochaine génération de solutions d'IA appliquées qui alimentent notre plateforme et offrent à nos clients des expériences plus intelligentes, évolutives et rentables.

En tant que scientifique principal des données au sein de notre équipe PSET (Platform Strategy and Emerging Technologies) - PBE (Programs & Business Excellence), vous jouerez un rôle clé dans l'amélioration des capacités de l'entreprise en matière de science des données et d'IA. Vous serez un expert en la matière et guiderez le développement et le déploiement de modèles d'apprentissage automatique et de solutions basées sur les données qui soutiennent les capacités stratégiques de la plateforme. À ce poste, vous travaillerez en collaboration avec des équipes interfonctionnelles, notamment des scientifiques des données, des analystes de données, des chefs de produit, des ingénieurs et des experts du domaine, afin de fournir des solutions innovantes qui ont un impact sur l'activité. Ce poste nécessite une solide expertise technique, des capacités de leadership et un sens aigu des affaires afin de relever des défis complexes et d'influencer les décisions stratégiques. Vous serez rattaché au directeur principal de la science des données, PSET.

La préférence sera donnée aux candidats pouvant travailler en mode hybride/à distance à Toronto ou à Montréal, au Canada.

Responsabilités

Collaborer avec les responsables des produits, de l'ingénierie et des activités commerciales afin de traduire des défis commerciaux complexes en hypothèses testables et en solutions de science des données efficaces. Développer et déployer des pipelines IA/ML de bout en bout, en partenariat avec des ingénieurs de données, et contribuer au pré-traitement des données, à la formation, à la validation, au déploiement et à la surveillance des modèles. Concevoir et mettre en œuvre des cadres statistiques et expérimentaux avancés, y compris des techniques d'inférence causale post-lancement (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 générative afin de développer des solutions évolutives, telles que des assistants IA pour soutenir les capacités de la plateforme Construire des applications classiques d'apprentissage automatique telles que des systèmes de personnalisation, de recommandation et de classement afin d'améliorer 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 matière d'expérimentation, de développement de modèles et de MLOps Collaborer avec une éq...