Job Requisition ID #
Position Overview
Are you excited about telling stories by analyzing and making sense of data? Are you interested in producing actionable insights from large datasets that can power business decisions? Do you want to create an impact by building data products that drive a digital enterprise?
Our team is looking for a driven individual who is both technically proficient and business-savvy—someone who can discover meaningful patterns in large datasets. We seek an individual who is not afraid to ask questions, challenge assumptions, and navigate complexity while answering broad business questions.
This Data Scientist position will help Autodesk’s IT organization, Enterprise Systems and Experience (ESE), uncover insights from experience and technology operations data. In this role, you will build sustainable data products that support management in making informed business decisions. The position also requires collaboration with managers, engineers, and planners to inform strategies that enable them to make high-quality decisions and provide better services.
The ideal candidate is someone who isn’t intimidated by technical complexity and continuously seeks to leverage the latest advancements in data science to help ESE deliver a world-class experience to Autodesk employees.
Responsibilities
Perform analysis on large datasets and produce qualitative visualizations based on reporting requirements
Develop analytical solutions and dashboards that integrate data from a wide variety of sources, such as relational databases, AWS, and data virtualization tools
Understand technology operations data from multiple sources in detail to create meaningful models
Optimize workflows and scripts in the data lake for data cleaning, processing, and transformation
Develop, prototype, and deploy machine learning models
Extract and derive useful metrics and KPIs from raw data gathered from multiple data sources
Collaborate with data engineers to create, maintain, and enhance data ingestion pipelines that gather data from various systems
Partner closely with service managers and engineers to understand underlying data and help them make business decisions through insights and data products
Minimum Qualifications
Bachelor’s degree in Computer Science, Business Analytics, Data Science, Management of Information Systems, Engineering, or another quantitative discipline
Proficiency in data analysis using Python and experience with open-source data science toolkits (Pandas, SciPy, Scikit-learn, NLTK)
Familiarity with various statistical and machine learning techniques, including classification, regression, dimension reduction, regularization, clustering, and multivariate methods
Experience with relational data modeling and SQL
Hands-on experience with modeling or hypothesis testing
Readiness to learn and adopt new technologies, such as AWS SageMaker, to build, train, and deploy models
Excellent oral and visual communication skills
2-3 years of experience working in a global, high-technology company
Preferred Qualifications
Adaptable and comfortable with complexity and uncertainty
Self-motivated, creative, and collaborative
Prior experience implementing and deploying data science models or data products in production
Experience working in an Agile/Scrum environment
Experience working in an AWS environment and leveraging services such as EC2, S3, Lambda, Glue, Athena, and SageMaker
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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!
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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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