Xometry Europe
Senior Manager, Data Science & Operation Analytics
Waltham, MA · Senior
Sponsorship not specified$170k-$185kDetected 9 days ago
PythonCode ReviewSQLPandasNumPyData AnalysisData EngineeringData ScienceData VisualizationAgentic AIStatisticsA/B TestingAccessibilityProduct ManagementProduct StrategyForecastingSupply ChainProcess ImprovementResearchExperimental Design
About the role
- Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life.
- Xometry's digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity.
- Xometry is looking for a Senior Manager, Data Science & Operations Analytics to join our team.
Responsibilities
- Lead strategic analytics across marketplace performance, customer behavior, sourcing operations, pricing, and business trends
- Translate complex business problems into structured analytical approaches that drive actionable recommendations
- Deliver executive-ready insights that influence product roadmap, operational priorities, and investment decisions
- Establish best practices for statistical analysis, hypothesis testing, causal inference, and experimental design across Product and Operations initiatives
- Partner with Product and Engineering teams to design, measure, and interpret A/B tests and operational experiments
- Develop measurement methodologies that quantify the business impact of new features, pricing strategies, sourcing initiatives, and operational improvements
- Define and build reusable analytical datasets, KPI frameworks, semantic layers, and metrics that enable consistent reporting and self-service analytics
- Partner with Data Engineering to improve data quality, governance, instrumentation, and accessibility across critical business domains
- Lead forecasting and trend analysis for marketplace demand, supplier capacity, sourcing operations, fulfillment performance, and financial outcomes
- Support capacity planning through statistical forecasting and scenario analysis
Requirements
- 7-10 years of experience in Data Science, Analytics, Statistics, Economics, Operations Research, or a related quantitative field
- Strong understanding of business intelligence, data visualization, and storytelling using tools such as Tableau, Looker, or Power BI
- Master's degree in Statistics, Economics, Operations Research, Data Science, Computer Science, Engineering, Mathematics, or a related quantitative discipline preferred
Compensation
- The estimated base salary range for new hires into this role is $170,000 - $185,000 annually + bonus depending on factors such as job-related skills, relevant experience, and location.
Benefits
- Develop analytical frameworks and AI agents that measure marketplace health across customer acquisition, conversion, supplier engagement, operational efficiency, pricing competitiveness, and margin performance
- Develop scalable dashboards and reporting solutions that provide visibility into marketplace performance and operational health
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