Apply machine learning and customer analytics as a Principal Data Scientist with Autodesk, working remotely in Ontario within a hybrid model. This principal-level role supports Autodesk Construction Solutions by analyzing cloud platform usage, adoption, and customer outcomes. You will work alongside product development teams using Python, statistical modeling, and data mining. Your insights inform product, business, adoption, and sales operations while supporting executive decision-making. Key Responsibilities:
Apply data mining, analytics, and machine learning methods Analyze customer product usage, adoption, and successful outcomes Lead junior and senior data scientists and analysts Model customer behavior, trends, retention, and lifetime value Identify opportunities for growth and product improvement Requirements:
MS or PhD in a relevant quantitative field Proficiency in Python and statistical programming tools Experience with relational SQL or NoSQL databases Experience with Hadoop, Spark, or Hive platforms Knowledge of statistics, machine learning, and data visualization Bring principal-level data science leadership, customer analytics, and statistical modeling to Autodesk Construction Solutions in Ontario.
#J-18808-Ljbffr
Principal Customer Analytics Scientist in Winnipeg employer: Autodesk, Inc.
Autodesk is an exceptional employer that fosters a culture of innovation and collaboration, making it an ideal place for Senior Software Developers to thrive. With a commitment to employee growth, Autodesk offers mentorship opportunities, competitive compensation packages, and a comprehensive benefits program, all while working on cutting-edge technologies in a dynamic environment. Located in Canada, employees enjoy a supportive work culture that values diversity and encourages continuous learning, allowing them to make meaningful contributions to the future of design and engineering.