Job Description

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 impact by building data products that power a digital enterprise?

Our team is looking for a driven individual that is both technically able and business-savvy. Someone that can discover meaningful patterns in large datasets. Someone that is not afraid of asking questions, challenging assumptions and dealing with complexity in trying to answer 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 help management take business decisions on an ongoing basis. The position also requires collaboration with managers, engineers and planners to inform strategies that enable them to take high-quality decisions and provide better services.

The ideal candidate is someone who isn’t afraid of technical complexity and dedicatedly looks for ways to leverage the latest and greatest advancements in the field of 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, data virtualization tools

• Understand technology operations data from many different sources in detail to create these models

• Optimize workflows and scripts on 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’ team to create, maintain, and enhance data ingestion pipelines which gather data from various systems or sources

• Partner closely with service managers and engineers to understand the underlying data and help them make business decisions through insights and data products

Minimum Qualifications

• Bachelors in Computer Science, Business Analytics, Data Science, Management of Information Systems, Engineering or other quantitative discipline 

• Proficiency with data analysis using Python and experience with open source data science toolkits (Pandas, SciPy, SciKitLearn, NLTK)

• 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

• Hands-on experience with modeling or hypothesis testing

• Readiness to learn and pick up new technologies such as AWS Sagemaker to build, train and deploy your models

• Excellent oral and visual communication skills

• Prior experience (2-3 years) working in a global, high technology company

Preferred Qualifications

• Adaptable and comfortable with complexity and uncertainty

• Be 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 its offerings such as EC2, S3, Lambda, Glue, Athena, Sagemaker etc.