Principal Data Scientist, Generative AI
Job Summary
Job Description
- 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
- Background in Architecture, Engineering, or Construction
- Deep learning experience with TensorFlow or PyTorch
- Experience leading cross-functional teams
- Familiarity with responsible AI principles
15 skills required
Job Details
Job Requisition ID #
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.
