Principal Data Scientist, Generative AI

Autodesk

Autodesk is transforming the Architecture, Engineering, and Construction (AEC) industry with AI-integrated products. They are enhancing flagship applications like AutoCAD and Revit with cloud-native capabilities. Join a team of technologists at Autodesk to create cutting-edge AI tools and models, contributing to innovative design workflows and strategies.

In this role you can expect to have the responsibilities:

• Drive strategic data science initiatives and influence key business decisions through machine learning and analytics.
• Analyze large data sets to extract insights and develop impactful data visualization strategies.
• Design scalable data pipelines for text, image, and geometric data processing.
• Lead advanced statistical modeling and experimentation to optimize business outcomes.
• Develop interactive dashboards and analytical solutions integrating data from multiple sources.
• Deploy and operationalize machine learning models ensuring scalability and efficiency.
• Mentor data scientists fostering a culture of collaboration and continuous learning.
• Collaborate with engineering, product, and business teams on data-driven strategies.
• Stay ahead of AI and data science trends for innovative business applications.
• Define and promote best practices for data science workflows and responsible AI usage.

This role comes with the following benefits:

• Competitive compensation package with base salary, bonuses, and stock options.
• Comprehensive benefits package.
• Emphasis on a culture of belonging and equity in the workplace.

This role requires you to have:

• Master's degree in a quantitative field or significant industry experience.
• 5-7 years of experience in data science, machine learning, or AI.
• Understanding of statistical and machine learning techniques.
• Proficiency in Python and data science toolkits like Pandas and Scikit-Learn.
• Experience with data visualization tools and BI platforms like Tableau or Power BI.
• Proficiency in distributed computing frameworks like Spark.
• Experience with SQL and relational data modeling.
• Cloud computing expertise, particularly in AWS or equivalent platforms.

You would benefit from having:

• Background in Architecture, Engineering, or Construction.
• Deep learning proficiency with frameworks like TensorFlow or PyTorch.
• Experience leading cross-functional teams and mentoring data scientists.
• Familiarity with responsible AI principles and practices.

Autodesk values a culture of belonging and equitable workplaces. They emphasize transformative work environments and provide links to learn more about their diversity initiatives.