Job Requisition ID #
25WD85363
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 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.
Report: You will report to an AI Development Manager for the Generative AI
team
Location: We support hybrid work, and you work near our Boston,
Massachusetts or Toronto, Canada offices.
Responsibilities
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Perform analysis on large datasets and produce qualitative visualizations based on reporting requirements
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Develop analytical solutions and dashboards that integrate data from a wide variety of sources such as relational databases and AWS
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Design experiments to test for hypotheses and answer business questions
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Develop and deploy machine learning models
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Optimize workflows and scripts on data lake for data cleaning, processing and transformation
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Collaborate with other ML and Research Engineers to to create,
maintain and enhance data pipelines which gather data from various systems or sources -
Partner closely with product managers and subject-matter experts to understand the underlying data and help them make decisions through insights and data products
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Organize and process large batches of text and geometric data
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Advanced expert role, requiring deep subject-matter knowledge and sound business acumen to advise leaders
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For jobs at this level, knowledge of the business starts to become as important as subject-matter knowledge
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Incumbents translate specialized subject-matter requirements into business needs/requirements
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Require depth of specialized expertise to interpret internal/external business issues and recommend best practices to address them
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Solve complex problems that require in-depth evaluation of variable factors by taking a broad perspective to identify the best approach and innovative solutions
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Work independently, with close guidance in only the most complex or unusual situations
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Adapt communication style to persuade various stakeholders across the business and frequently interact with senior leaders to provide advice and SME
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May lead functional teams or programs within own function (or closely related functions)
Minimum Qualifications
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A Bachelor in Computer Science, Business Analytics, Data Science, Management of Information Systems, Engineering or other quantitative disciplines
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Proficiency with data analysis using Python and experience with open source data science toolkits (Pandas, SciPy, SciKitLearn, NLTK)
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Familiarity with various statistical and machine learning techniques
including classification, regression, dimension reduction, regularization, clustering and various multivariate methods -
Familiarity with relational data modeling and SQL
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Readiness to learn and pick up new technologies such as AWS Sagemaker to build, train and deploy your models
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Excellent oral and visual communication skills
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Good communication skills and an awareness of how to communicate data and results effectively
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Strong analytical and problem-solving skills, with the ability to translate theoretical concepts into practical solutions and prototype implementation
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Background in Architecture, Engineering, or Construction
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Practical experience in data preparation, hyper-parameter selection; acceleration techniques; and optimization methods
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Exposure to cloud computing in AWS, Azure or Google Cloud
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3 years of work experience related to the above; or extensive experience working in these fields as part of a graduate or doctorate program
The Ideal Candidate
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You are passionate about solving problems for AEC (Architecture, Engineering, and Construction) customers by applying machine learning techniques
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You can quickly learn new tools and data models
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You are comfortable working in newly forming ambiguous areas where learning and adaptability are key skills
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You are great at communicating your findings both orally and visually
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You have strong interpersonal skills and ability to work effectually as a member of team with minimal supervision
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You are constantly striving to learn new technologies and methodologies
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You are adaptable, customer-focused, and seek new ways to solve hard problems
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You are unafraid to put your ideas out there and fail fast
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You are not 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
Learn More
About Autodesk
Welcome to Autodesk! Amazing things are created every day with our software – from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.
We take great pride in our culture here at Autodesk – our Culture Code is at the core of everything we do. Our values and ways of working help our people thrive and realize their potential, which leads to even better outcomes for our customers.
When you’re an Autodesker, you can be your whole, authentic self and do meaningful work that helps build a better future for all. Ready to shape the world and your future? Join us!
Salary transparency
Salary is one part of Autodesk’s competitive compensation package. Offers are based on the candidate’s experience and geographic location. In addition to base salaries, we also have a significant emphasis on discretionary annual cash bonuses, commissions for sales roles, stock or long-term incentive cash grants, and a comprehensive benefits package.
Diversity & Belonging
We take pride in cultivating a culture of belonging and an equitable workplace where everyone can thrive. Learn more here: https://www.autodesk.com/company/diversity-and-belonging
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