Senior Data Scientist

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Autodesk

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1982

📱 Media

Architecture • Engineering • Media

Autodesk is a global leader in software for designers, engineers, builders, and creators. The company provides a comprehensive suite of design and engineering applications including popular products like AutoCAD, Revit, and 3ds Max. Through its Design and Make Platform, Autodesk empowers professionals across various industries to design, visualize, and manage projects efficiently, facilitating innovation and sustainability in architecture, engineering, construction, and manufacturing.

📋 Description

• Design, develop, validate, and improve data science models and products. • Participate in stakeholder planning sessions to gather context on ambiguous business challenges, and recommend data science modeling approaches that can drive business impact • Define customer and business value metrics, evaluation approaches, and validation criteria for models and products, including in situations with imperfect or incomplete data • Use SQL to transform complex data and build scalable datasets for modeling and analysis • Work with the machine learning engineering team to develop, validate, and deploy machine learning and AI products • Collaborate with product owners and other stakeholders to shape new data product ideas or enhancements • Develop technical design and architecture documentation for data science and AI products • Help drive technical direction, working alongside engineering and product owners to navigate tradeoffs and execution decisions • Manage priorities across multiple projects, including helping shape tradeoffs and cross-functional team priorities • Become an expert in Autodesk data - recommend approaches to make reusable features and data products that can be leveraged to ensure data science products are built on trusted, stable and scalable foundations. • Communicate analyses, model performance, methodology, and recommendations clearly to technical and non-technical audiences.

🎯 Requirements

• 5+ years of experience and a graduate degree in data science, computer science, statistics, or a related quantitative field • Advanced Python and SQL skills, including experience working with large-scale data warehouses • Experience leading end-to-end development of machine learning models, data science products, or advanced analytical solutions in a business environment • Strong communication skills and the ability to explain technical concepts, decisions, and tradeoffs to different audiences

🏖️ Benefits

• annual cash bonuses • commissions for sales roles • stock grants • comprehensive benefits package