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Principal Data Scientist
Autodesk
San Francisco, CA, United States
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Description
In Autodesk's Digital Platform and Experience division, we design and build data products that help us multiply human effort in the curation, classification, and enrichment of our support and learning content. Increasingly, we are seeking to apply machine learning to these challenges. We are looking for someone who is intrigued by complicated problems and, who can think creatively and work hard as part of a multi-disciplinary team to help us solve them.
Responsibilities
• Work on a wide variety of challenges in search/information retrieval, natural language processing and, unsupervised and supervised learning problems.
• Using quantitative research, you will help identify, design and implement machine learning models that help enrich Autodesk’s data and support our evidence-based decision making.
• Together with a team of developers, you will be integral to projects that build full stack internal applications that we use company-wide.
• Learning motivates the team, and we want a creative mind with who we can work together to find solutions to hard problems.
Requirements
• BS/MS in Computer Science, Statistics, or related technical field ideally with a significant Machine Learning component.
• 4+ years’ experience with machine learning.Knowledge of how to build and validate predictive models.
• Practical experience of working with unstructured data.
• A good understanding of NLP techniques.
• Excellent communication skills with an awareness of the need to simplify complex ideas.
• Experience in one of the following languages, polyglots preferred: Python, Java, Scala, Julia or C++.