Data Scientist

The Team:

The Data Analytics and Transformation team encompasses the Data Engineering, Semantics, Data Science, Strategic Intelligence and Business Transformation functions. The team provides analytic support and a strategic perspective to the different functions within Celonis to enable them to make evidence-based decisions. We deliver actionable insights by collecting, organizing and interpreting data about user journeys, product telemetry, incidents, infrastructure utilization, sales motions, and much more. We transform data into analytic assets by conducting exploratory analysis, identifying outliers, validating hypotheses, building statistical models, quantifying risk; communicating findings through well crafted stories and critical recommendations. 

The Role:

As a Data Scientist in the Data Analytics and Transformation team, you will play a key role in developing and communicating data-driven insights that will help with strategic and tactical decision making in a hyper growth environment. You will be using your analytical and data science skills to create and fine tune statistical and machine learning models, carry experimentation, build with foundation models - RAG, agents, evals and communicate findings to engineers, managers and executives. In this exciting role, you will be involved with analyzing and modeling data, building visualizations to deliver insights at scale, as well as facilitating data driven discussions between stakeholders across the organization.

The work you’ll do:

• Developing data-driven insights and decision making applications for internal use with a special focus on Operational processes
• Produce regular reporting and providing analysis for leaders in the business
• Build, document, and maintain innovative operational processes that meet our business objectives and ensure compliance with a focus on automation and reducing manual transactions
• Utilize project management skills to mobilize internal and external stakeholders to achieve goals
• Continuously create and engage in data engineering processes to ensure data accuracy, consistency, and integrity through continuous audit and review as we scale
• Conduct in-depth analytic investigations to find answers to business questions or support making the case for product and/or engineering ideas