Senior Product Data Scientist

hace 1 mes


Madrid, Madrid, España Celonis Se A tiempo completo

We're Celonis, the global leader in Process Mining technology and one of the world's fastest-growing SaaS firms. Our mission is to unlock productivity by placing data and intelligence at the core of business processes. To achieve this, we need a talented Product Data Scientist to join our Engineering organization. The Product Analytics & Data Sciences team provides analytic support and a strategic perspective to the product and engineering teams, enabling them to make evidence-based conclusions. We deliver actionable insights by collecting, organizing, and interpreting data about user journeys, product telemetry, incidents, infrastructure utilization, sales motions, and more. As a Product Data Scientist, you will play a key role in developing and communicating data-informed insights that will help with strategic and tactical decision-making in a hyper-growth environment. You will partner with engineers and product team members to understand business problems and help define data solutions. You will build data pipelines for new data sources, develop machine learning models, and create visualizations to communicate findings and recommendations to engineers, managers, and executives. In this exciting role, you will also need to facilitate data-informed discussions between stakeholders across the organization, through effective storytelling with meaningful insight.

Key Responsibilities:
  • Serve as the data science specialist on the team, building data-informed insights to deliver findings and recommendations to product and engineering teams.
  • Build visualizations as well as written narratives to communicate quantitative insights and facilitate discussions with data-informed insights.
  • Employ statistical analysis and/or modeling techniques on a variety of data - product telemetry, incidents, user journeys, sales motions, infrastructure utilization, and others, to drive resource optimization, feature improvement, or product adoption-related initiatives.
  • Collaborate with partners across the product and engineering teams to understand business motivations; formulate and deliver data analysis by engaging across all the steps of the process, including data gathering, building data pipelines, performing analyses, and delivering insights at scale.
  • Continuously engage in refining data engineering processes to ensure data accuracy, consistency, and integrity through continuous audit and review.
  • Effectively present and communicate analytical findings to stakeholders across the organization.


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