Staff Product Data Scientist

Staff Product Data Scientist

We're Celonis, the global leader in execution management and process mining technology, and one of the 50 most valuable private companies in the world. We believe that every company can unlock its full execution capacity - and for that, we need you to join us as a Staff Product Data Scientist

The Team:
As a member of the Engineering organization, the Product Analytics & Data Sciences team provides analytic support and a strategic perspective to the product and engineering teams 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 Product Data Scientist in the Product Analytics & Data Sciences 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 the owner of an end to end process, generating value by using your analytical and data science skills to build data pipelines, develop machine learning models and create visualizations to communicate findings and recommendations to engineers, managers and executives. In this exciting role, in addition to crunching data, you will also need to facilitate data driven discussions between stakeholders across the organization, through effective storytelling with meaningful insight.

The work you'll do:

• Serve as the data science expert on the team, building data-driven 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 between leaders across the organization
• 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, analysis and delivering insights at scale
• Continuously engage in refining data engineering processes to ensure data accuracy, consistency, and integrity through continuous audit and review
• Define the vision and roadmap for analytics within the organization in addition to mentoring other data scientists and analytics engineers.

The qualifications you need:

• Bachelor's degree or equivalent with a strong focus on Mathematics, Computer Science, or Data Science. Master's or PhD preferred.
• 10+ years relevant experience with at least 6+ years as a Product Analytics Engineer / Data Scientist or similar, partnering with product, engineering or growth teams
• Technical competence with analytical tools for data extraction, visualization and analysis (SQL, Python, Pandas)
• Strong understanding of statistical techniques and machine learning
• Experience working with large datasets and predictive modeling
• 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.