Senior Data Scientist
About The Position
Autodesk customers make sense of the world through rich streams of data - from 3D scans of buildings and fluid dynamic simulations to field notes from construction sites and product usage trends. We are looking for a Senior Data Scientist to join Autodesk’s Platform Strategy and Emerging Technologies (PSET) organization and use their experience in AI/ML and Data Science to develop the next generation of applied AI solutions that power our platform and enable smarter, scalable and cost-efficient experiences for our customers. As a Senior Data Scientist on our Platform Strategy and Emerging Technologies (PSET) - Programs & Business Excellence (PBE) team, you will play a key role in advancing the data science and AI capabilities within the company. You will serve as a subject matter expert, involved in the development and deployment of machine learning models and data driven solutions that support strategic platform capabilities. In this role, you will partner with cross functional teams – including data scientists, data analysts, product managers, developers and domain experts to deliver innovative solutions that drive business impact. This role requires a combination of strong technical expertise and business acumen to address complex challenges and influence strategic decisions. You will report to the Senior Manager of Data Science, PSET. Preference for candidates to work hybrid/remote in Toronto/Ontario or Montreal/Quebec.
Requirements
- Bachelor's or master's degree (preferred) in Computer Science, Data Science, Machine Learning, Artificial Intelligence, or related field, or equivalent work experience
- 5+ years of experience in data science, machine learning, or AI, with a proven track record of delivering successful AI-driven solutions at scale
- Expertise in developing and deploying machine learning models, particularly in large-scale environments, with a focus on deep learning, reinforcement learning, or natural language processing
- Proficient with various statistical and machine learning techniques including classification, regression, dimension reduction, regularization, clustering and various multivariate methods
- Hands of experience with design and analysis of A/B and multivariate experiments to measure the impact of product changes and business strategies with statistical rigor
- Strong proficiency in programming languages such as Python, with experience in using machine learning libraries such as, PyTorch & associated libraries for AI/ML
- Experience working with cloud environments like AWS and leveraging its offerings such as Lambda Bedrock, SageMaker, etc
- Hands-on expertise in AI and LLM development with Finetuning expertise in a real-world business environment
- Excellent communication skills, with the ability to present complex technical concepts to non-technical stakeholders
Nice To Haves
- Strong publication record in top-tier AI/ML conferences and journals
- Experience deploying AI models for real-time applications in manufacturing or construction
- Strong knowledge base of MLOps practices for efficient model deployment and scaling
- Proven leadership and mentorship experience, with a passion for developing and inspiring high-performing teams
Responsibilities
- Develop & deploy end-to-end AI/ML pipelines, by partnering with data developers and contribute from data preprocessing to model training, validation, deployment, and monitoring
- Design and implement advanced statistical & experimentation frameworks, including post-launch causal inference techniques (e.g. A/B testing, propensity score matching) to measure product impact
- Application of Generative AI to develop scalable solutions - such as AI assistants to support platform capabilities
- Build classic machine learning applications such as personalization, recommendation, and ranking systems to improve customer workflows and drive product adoption
- Conduct technical reviews, and promote best practices in experimentation, model development, and MLOps
- Collaborate with a team of data scientists in developing AI/ML models and solutions over large-scale data that address business problems and drive product innovation
- Translate insights into actionable recommendations, effectively guiding business strategy through clear communication with cross-functional teams
- Advanced expert role, requiring deep subject-matter knowledge and sound business acumen to advise leaders
- For jobs at this level, knowledge of the business starts to become as important as subject-matter knowledge
- Incumbents translate specialized subject-matter requirements into business needs/requirements
- Require depth of specialized expertise to interpret internal/external business issues and recommend best practices to address them
- Solve complex problems that require in-depth evaluation of variable factors by taking a broad perspective to identify the best approach and innovative solutions
- Work independently, with close guidance in only the most complex or unusual situations
- Adapt communication style to persuade various stakeholders across the business and frequently interact with senior leaders to provide advice and SME
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Mid Level
