Senior Data Scientist

🕒 April 27

🇨🇦 Canada – Remote

💵 $107k - $156.2k / year

⏰ Full Time

🟠 Senior

📊 Data Scientist

👻 Ghost score 32%

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Logo of Autodesk

Autodesk

10,000+ employees

Founded 1982

🏗️ Construction

🏭 Manufacturing

💼 Consulting

Construction • Manufacturing • Consulting

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 and recommend data science modeling approaches • Define customer and business value metrics, evaluation approaches, and validation criteria • Use SQL to transform complex data and build scalable datasets for modeling and analysis • Work with machine learning engineering to develop, validate, and deploy machine learning and AI products • Collaborate with product owners and stakeholders to shape data product ideas and enhancements • Develop technical design and architecture documentation • Help drive technical direction and navigate tradeoffs and execution decisions • Manage priorities across multiple projects and cross-functional team priorities • Become an expert in Autodesk data and recommend reusable features and scalable data products • Communicate analyses, model performance, methodology, and recommendations to technical and non-technical audiences

🎯 Requirements

• 5+ years of experience • Graduate degree in data science, computer science, statistics, or a related quantitative field • Advanced Python and SQL skills • 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 ability to explain technical concepts, decisions, and tradeoffs to different audiences • Familiarity with go-to-market data such as Salesforce, financial metrics, or product usage and engagement data • Experience using AI productivity and coding tools

🏖️ Benefits

• Annual cash bonuses • Commissions for sales roles • Stock grants • Comprehensive benefits package

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