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Data Scientist for Product Intelligence
hace 2 meses
At Celonis, the global leader in Process Mining technology, we are on a mission to unlock productivity by placing data and intelligence at the core of business processes. To achieve this, we are looking for a talented Product Data Scientist to join our Product Analytics & Data Sciences team. As a key member of this team, you will play a crucial role in developing and communicating data-informed insights to drive strategic and tactical decision-making in a hyper-growth environment.
The Role:
As a Product Data Scientist, 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. Your work will involve facilitating data-informed discussions between stakeholders across the organization through effective storytelling with meaningful insights.
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.
Requirements:
• Bachelor's degree or equivalent with a strong focus on Mathematics, Computer Science, or Data Science. Master's preferred.
• 6+ years relevant experience as a Product Analytics Engineer / Data Scientist or similar, partnering with product, engineering, or growth teams.
