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Job Description
A Product Data Scientist at Celonis is responsible for developing data-driven insights, building data pipelines, creating machine learning models, and communicating findings to support strategic decision-making within a fast-growing process intelligence company.
Key Responsibilities
- Develop and communicate data-driven insights to support strategic and tactical decision making.
- Partner with engineering and product teams to understand business problems and define data solutions.
- Build data pipelines for new data sources and develop machine learning models.
- Create visualizations and narratives to communicate findings and facilitate data-driven discussions.
- Perform statistical analysis and modeling on various data sources to optimize resources and improve products.
- Collaborate across teams to gather data, perform analysis, and deliver insights at scale.
- Refine data engineering processes to ensure data accuracy, consistency, and integrity.
- Present analytical findings effectively to stakeholders across the organization.
Requirements
- Bachelor's degree or equivalent with a strong focus on Mathematics, Computer Science, or Data Science
- Master's degree preferred
- 3 years relevant experience as a Product Analytics Engineer, Data Scientist, or similar role, partnering with product, engineering, or growth teams
- Technical competence with analytical tools for data extraction, visualization, and analysis such as 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
- 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
Benefits & Perks
generous PTO
hybrid working options
company equity RSUs
comprehensive benefits
extensive parental leave
dedicated volunteer days
gym subsidies
counseling and well-being programs
clear career paths
internal mobility
dedicated learning program
mentorship opportunities
opportunity to work with leading process mining technology
international and diverse team environment
autonomous team culture
Ready to Apply?
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