Principal Data Scientist, Generative AI

1 Year ago • 5-7 Years • Data Analysis

Job Summary

Job Description

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 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. Drive strategic data science initiatives, analyze large-scale datasets, architect scalable data pipelines, lead experimentation and statistical modeling, develop analytical solutions and dashboards, deploy machine learning models, mentor data scientists, collaborate cross-functionally, and stay ahead of emerging trends in AI and data science. Define and promote best practices and frameworks for data science workflows and model deployment.
Must have:
  • Master's degree in a quantitative discipline
  • 5-7 years of experience in data science or AI
  • Strong understanding of machine learning techniques
  • Proficiency in Python for data analysis
  • Experience with data visualization tools
  • Proficiency in distributed computing frameworks
  • Experience with relational data modeling and SQL
  • Experience with model monitoring and CI/CD pipelines
  • Expertise with cloud computing and MLOps
  • Strong analytical and problem-solving skills
  • Excellent communication and storytelling skills
Good to have:
  • Background in Architecture, Engineering, or Construction
  • Deep learning experience with TensorFlow or PyTorch
  • Experience leading cross-functional teams
  • Familiarity with responsible AI principles

Job Details

Job Requisition ID #

25WD89731

Position Overview 

Autodesk 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 science  
to deliver next-generation experiences for our AEC customers. 

 

Report: You will report to an ML Development Manager for the Generative AI team 

Location:   Remote or Hybrid United States. East Coast Time Zone.

 

Responsibilities 

  • Drive strategic data science initiatives, influencing how machine learning and analytics shape key business decision

  • Analyze large-scale datasets, extract deep insights, and develop advanced data visualization strategies that drive measurable impact and provide measurable recommendations

  • Architect scalable data pipelines to organize, process, and clean large batches of text, image, and geometric data for downstream analytics and machine learning

  • Lead experimentation and advanced statistical modeling, designing robust methodologies to validate hypotheses and optimize business outcomes

  • Develop analytical solutions and interactive dashboards that integrate data from various sources, including relational databases and AWS

  • Develop, deploy, and operationalize machine learning models, ensuring scalability, reliability, and real-world effectiveness

  • Mentor and guide other data scientists, fostering a culture of knowledge sharing, collaboration, and continuous learning

  • Collaborate cross-functionally with engineering, product, and business teams to define and execute data-driven strategies

  • Stay ahead of emerging trends in AI and data science, proactively identifying opportunities to integrate cutting-edge techniques into business applications

  • Define and promote best practices and frameworks for data science workflows, model deployment, and responsible AI usage

Minimum Qualifications 

  • A 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 experience

  • 5-7 years of relevant work experience in data science, machine learning, or AI, OR extensive applied research experience through a doctoral program 

  • Strong understanding of statistical and machine learning techniques, including classification, regression, dimensionality reduction, regularization, clustering, multivariate analysis, feature engineering, and hyperparameter tuning

  • Proficiency in Python for large-scale data analysis, with experience in open-source data science toolkits such as Pandas, SciPy, and Scikit-Learn

  • Hands-on experience with data visualization tools like Matplotlib, Seaborn, Plotly, or BI platforms like Power BI or Tableau

  • Proficiency in distributed computing frameworks like Spark or Ray for scalable data processing

  • Experience with relational data modeling and SQL, including data retrieval, transformation, and optimization for analytical applications

  • Experience with model monitoring and CI/CD pipelines, including model versioning, automated retraining, and performance tracking in production environments

  • Expertise with cloud computing and MLOps, including AWS (S3, Lambda, SageMaker, Athena) or equivalent cloud platforms (GCP or Azure) with knowledge of model deployment best practices

  • Strong analytical and problem-solving skills, with the ability to translate theoretical concepts into practical solutions by designing, prototyping and deploying scalable machine learning solutions

  • Excellent communication and storytelling skills, including the ability to distill complex insights into actionable business recommendations through written, oral, and visual presentations

Other Qualifications 

  • Background in Architecture, Engineering, or Construction

  • Deep learning experience, with hands-on proficiency in frameworks like TensorFlow or PyTorch for designing, training, and deploying neural networks

  • Experience leading cross-functional teams and mentoring data scientists, fostering a culture of innovation and knowledge sharing

  • Familiarity with responsible AI principles, including bias mitigation, explainability, and ethical AI practices

The Ideal Candidate 

  • You are passionate about solving problems for AEC customers (Architecture, Engineering, and Construction) by applying machine learning techniques

  • You are a strategic thinker, capable of shaping and executing long-term data science initiatives that align with business objectives

  • You are comfortable working in newly forming ambiguous areas where learning, experimentation and adaptability are key skills

  • You actively contribute to a learning-driven culture, sharing knowledge, mentoring peers, and fostering an environment of continuous growth

  • You are bold and iterative, unafraid to share ideas, experiment, and fail fast

At 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.

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About The Company

Autodesk is changing how the world is designed and made. Our technology spans architecture, engineering, construction, product design, manufacturing, media, and entertainment, empowering innovators everywhere to solve challenges big and small. From greener buildings to smarter products to more mesmerizing blockbusters, Autodesk software helps our customers to design and make a better world for all. Over 100 million people use Autodesk software like AutoCAD, Revit, Maya, 3ds Max, Fusion 360, SketchBook, and more to unlock their creativity and solve important design, business and environmental challenges. Our software runs on both personal computers and mobile devices and taps the infinite computing power of the cloud to help teams around the world collaborate, design, simulate and fabricate their ideas in 3D. We provide exceptional compensation/benefit packages and we’d love for you to join us. We’re proud to be an equal opportunity employer and we consider all qualified applicants without regard to race, gender, disability, veteran status or other protected category. To see our culture in action, check out #AutodeskLife. We are headquartered in the San Francisco Bay Area and have more than 10,000 employees worldwide.

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