Data Scientist - Data Science - F/H
Autodesk
Autodesk is advancing flagship products such as AutoCAD, Revit, and Forma with cloud-native architecture, scalable data, AI-driven capabilities, and high-fidelity visualization. Visualization Solutions sits at the center of that shift, delivering consistent, modern graphics and interaction across web, mobile, and desktop.
We are seeking a Principal Data Scientist to partner with multidisciplinary Visualization Solutions teams to define and evolve product analytics and applied AI practices. This role brings data science into day-to-day product engineering, from instrumentation and experimentation through advanced analytics and machine learning. You will work on complex, high-scale problems and turn product and platform data into systems and insights that directly shape visualization performance, adoption, and customer experience.
Drive business and product planning through insights on product usage, adoption, feature utilization, performance, and reliability.
Design and implement robust data models and schemas aligned to product and platform needs.
Audit existing product, platform, and data systems for completeness and accuracy, and strengthen instrumentation to enable reliable, decision-ready analytics.
Build and optimize scalable data pipelines and architectures, including cloud-based ETL processes and large-scale data structures for analytics and machine learning.
Develop processes to ingest, transform, and distribute data into internal systems and applications.
Partner with engineering and platform teams to [DD1] identify and resolve data quality issues.
Create dashboards, analyses, and experimentation frameworks that translate raw data into clear recommendations.
Communicate findings clearly to cross-functional stakeholders and senior leaders.
Bachelor’s or advanced degree in Mathematics, Economics, Computer Science, Information Management, Statistics, or related field.
Significant experience in data science, advanced analytics, or business analytics roles.
Strong expertise in SQL and working with complex, large-scale datasets across multiple sources.
Proficiency with analytics and BI tools such as Looker, Tableau, Splunk, Mixpanel, or similar platforms.
Experience with Python or R for statistical analysis and data processing.
Hands-on experience with big data and cloud-based data environments such as AWS, Redshift, Snowflake, BigQuery, Spark, or similar technologies.
Strong systems thinking / Experience building analytics foundations in complex environments.
Ability to collect, structure, analyze, and interpret large volumes of data with accuracy and attention to detail.
Experience in data mining, large-scale analytics, or machine learning in production environments.
Experience applying AI or advanced analytics to 3D data, graphics systems, simulation outputs, or complex design and engineering workflows.
Experience supporting real-time or interactive applications with data-driven systems.
Proven ability to frame ambiguous problems, generate insight, and establish a clear point of view that influences direction.
Strong systems thinking / Experience building analytics foundations in complex environments.
Amazing things are created every day with our software – from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.
Our culture guides the way we work and treat each other, informs how we connect with customers and partners, and defines how we show up in the world.
When you’re an Autodesker, you can do meaningful work that helps build a better world designed and made for all. Nos logiciels créent chaque jour des choses extraordinaires : des bâtiments les plus écologiques aux voitures les plus propres, en passant par les usines les plus intelligentes et les films à succès. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.
Diversity & Belonging / Diversité et appurtenance
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