Data Scientist

Job Summary

Celonis is the trusted platform to industrialize Enterprise AI. At our core is the Celonis Context Model - which combines process data, business knowledge, and intelligence into a living digital twin of the enterprise that AI can actually understand, turning AIs operational blind spots into operational clarity. Worlds leading companies trust Celonis and its global ecosystem of partners to make their AI agents, people, systems, and processes work together, achieving transformational outcomes. We believe theres a massive opportunity to unlock global productivity and sustainability by giving AI the context to understand how every business process really works. Join our mission to make processes work for people, companies, and the planet.

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.

Responsibilities

• 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

Qualifications

• Bachelor s degree or equivalent with a strong focus on Economics, Business, Mathematics, Computer Science, or Data Science.
• 3+ years relevant experience as an Analytics Engineer / Product Analyst / Data Engineer or similar, partnering with product, engineering or growth teams at a SaaS or enterprise software company
• Hands on experience with using analytic tools like Celonis EMS, Tableau, Qlik, Looker, Power BI to build and deliver insights
• Technical competence with analytical tools for data extraction, visualization and analysis (SQL, Python, Pandas)
• Experience working with large datasets
• Outcome-oriented with strong decision-making skills and the ability to prioritize multiple objectives while meeting aggressive deadlines
• Have excellent written and verbal communication skills; exceptional attention to detail
• Experience working in agile teams using collaboration software like Jira or similar
• Eager to work in a fast-growing organization with diverse and international teams spread across multiple locations

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.