Intern, Data Science

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Cloud computing, Scala Programming, Machine learning techniques, Data science techniques, MATLAB Programming, PyTorch, TensorFlow, R Programming

Job Description

Autodesk customers make sense of the world through rich streams of data that might include 3D scans of buildings, fluid dynamic simulations, daily notes on the construction site, trends on product usage and more. As a Data Scientist Intern, you will get to apply your knowledge in data engineering, work with the latest machine learning models, contribute to the next-generation MLOps platform and make an impact by helping our customers create a better, safer, more sustainable world.

Responsibilities

• Develop, prototype, and deploy machine learning models
• 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
• Extract and derive useful metrics and KPIs from raw data gathered from multiple data sources

Minimum Qualifications

• Pursuing a Master's in Computer Science or Data Science.
• Proficiency with data analysis using Python and experience with open-source data science toolkits (Pandas, SciKit-Learn, NLTK, etc.)
• 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
• Familiarity with Snowflake or comparable Data Warehouse and ETL tooling like Astronomer/Airflow and DBT.

Preferred Qualifications

• 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.
• Be self-motivated, creative and collaborative

About the US Intern Program

The U.S. program runs from May through August for 12 weeks and will be remote (subject to change). All internships are paid. Interns have the opportunity to work alongside peers from universities all over the country and participate in intern events such as TED talks, mentoring, fun events, and more. US recruiting begins in the Fall and concludes end of March.