Data Scientist
Autodesk
full-time
Posted on:
Location Type: Remote
Location: Remote • 🇨🇦 Canada
Visit company websiteJob Level
Mid-LevelSenior
Tech Stack
AWSAzureCloudETLGoogle Cloud PlatformPythonSQL
About the role
- Develop AI/ML models and solutions over a large-scale data that address business problems
- Develop & deploy end-to-end AI/ML pipelines
- Conduct A/B testing, experiment design, and hypothesis testing
- Apply AI/ML based algorithms to build classic data science applications
- Develop, prototype, and deploy large language models leveraging large scale using AWS Cloud Services
- Analyze and preprocess large datasets for model development
- Optimize the efficiency, scalability, and robustness of deployed AI/ML models
Requirements
- Master's degree in computer science, Data Science, Machine Learning, Artificial Intelligence, or a related field, or equivalent work experience
- 3+ years of experience in data science, machine learning, or AI
- Expertise in developing and deploying machine learning models
- Strong proficiency in programming languages such as Python
- Experience with cloud-based AI/ML platforms (e.g., AWS, Azure, GCP)
- Hands-on expertise in AI and LLM development in a real-world business environment
- Proficient with relational data modeling and SQL & Snowflake or comparable Data Warehouse and ETL tooling
- Strong programming skills in Python & associated libraries for AI/ML
Benefits
- Bonuses
- Stock grants
- Comprehensive benefits package
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
AI/ML modelsend-to-end AI/ML pipelinesA/B testinghypothesis testinglarge language modelsdata preprocessingdata science applicationsprogramming in Pythonrelational data modelingSQL
Certifications
Master's degree in computer scienceMaster's degree in Data ScienceMaster's degree in Machine LearningMaster's degree in Artificial Intelligence