Principal Data Scientist, Generative AI. Remote or Hybrid East Coast United States

Job Requisition ID #25WD89731Position OverviewAutodesk is leading the transformation of the AEC industry, integrating AI technology into our products. We're enhancing our applications with cloud-native capabilities, including data at scale, edge computing, AI-based solutions, and advanced 3D modeling and graphics. This innovation is happening across our flagship products-AutoCAD, Revit, and Construction Cloud-and Forma, our new Industry Cloud.As a Principal Data Scientist on the AEC Solutions team, you will join a team of technologists to help build cutting-edge foundation models and generative AI tools for the AEC industry. You will collaborate across organizations with a versatile group of AI Researchers, ML Engineers, Software Architects, and Experience Designers to generate and interpret design data that can augment design and engineering workflows.The ideal candidate is someone who isn't afraid of technical complexity and is constantly looking for ways to leverage the latest and greatest advancements in the field of data scienceto deliver next-generation experiences for our AEC customers.Report: You will report to an ML Development Manager for the Generative AI teamLocation: Remote or Hybrid United States. East Coast Time Zone.ResponsibilitiesDrive strategic data science initiatives, influencing how machine learning and analytics shape key business decisionAnalyze large-scale datasets, extract deep insights, and develop advanced data visualization strategies that drive measurable impact and provide measurable recommendationsArchitect scalable data pipelines to organize, process, and clean large batches of text, image, and geometric data for downstream analytics and machine learningLead experimentation and advanced statistical modeling, designing robust methodologies to validate hypotheses and optimize business outcomesDevelop analytical solutions and interactive dashboards that integrate data from various sources, including relational databases and AWSDevelop, deploy, and operationalize machine learning models, ensuring scalability, reliability, and real-world effectivenessMentor and guide other data scientists, fostering a culture of knowledge sharing, collaboration, and continuous learningCollaborate cross-functionally with engineering, product, and business teams to define and execute data-driven strategiesStay ahead of emerging trends in AI and data science, proactively identifying opportunities to integrate cutting-edge techniques into business applicationsDefine and promote best practices and frameworks for data science workflows, model deployment, and responsible AI usageMinimum QualificationsA Master's degree (or higher) in Computer Science, Business Analytics, Data Science, Management Information Systems, Engineering, or another quantitative discipline OR a Bachelor's degree with extensive industry experience5-7 years of relevant work experience in data science, machine learning, or AI, OR extensive applied research experience through a doctoral programStrong understanding of statistical and machine learning techniques, including classification, regression, dimensionality reduction, regularization, clustering, multivariate analysis, feature engineering, and hyperparameter tuningProficiency in Python for large-scale data analysis, with experience in open-source data science toolkits such as Pandas, SciPy, and Scikit-LearnHands-on experience with data visualization tools like Matplotlib, Seaborn, Plotly, or BI platforms like Power BI or TableauProficiency in distributed computing frameworks like Spark or Ray for scalable data processingExperience with relational data modeling and SQL, including data retrieval, transformation, and optimization for analytical applicationsExperience with model monitoring and CI/CD pipelines, including model versioning, automated retraining, and performance tracking in production environmentsExpertise with cloud computing and MLOps, including AWS (S3, Lambda, SageMaker, Athena) or equivalent cloud platforms (GCP or Azure) with knowledge of model deployment best practicesStrong analytical and problem-solving skills, with the ability to translate theoretical concepts into practical solutions by designing, prototyping and deploying scalable machine learning solutionsExcellent communication and storytelling skills, including the ability to distill complex insights into actionable business recommendations through written, oral, and visual presentationsOther QualificationsBackground in Architecture, Engineering, or ConstructionDeep learning experience, with hands-on proficiency in frameworks like TensorFlow or PyTorch for designing, training, and deploying neural networksExperience leading cross-functional teams and mentoring data scientists, fostering a culture of innovation and knowledge sharingFamiliarity with responsible AI principles, including bias mitigation, explainability, and ethical AI practicesThe Ideal CandidateYou are passionate about solving problems for AEC customers (Architecture, Engineering, and Construction) by applying machine learning techniquesYou are a strategic thinker, capable of shaping and executing long-term data science initiatives that align with business objectivesYou are comfortable working in newly forming ambiguous areas where learning, experimentation and adaptability are key skillsYou actively contribute to a learning-driven culture, sharing knowledge, mentoring peers, and fostering an environment of continuous growthYou are bold and iterative, unafraid to share ideas, experiment, and fail fastAt Autodesk, we're building a diverse workplace and an inclusive culture to give more people the chance to imagine, design, and make a better world. Autodesk is proud to be an equal opportunity employer and considers all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender, gender identity, national origin, disability, veteran status or any other legally protected characteristic. We also consider for employment all qualified applicants regardless of criminal histories, consistent with applicable law.Are you an existing contractor or consultant with Autodesk? Please search for open jobs and apply internally (not on this external site). If you have any questions or require support, contact Autodesk Careers. #J-18808-Ljbffr