Senior Data Scientist, Product Analytics

Overview

Xometry is looking for a highly analytical and data-driven Senior Data Scientist (Product Analytics) with statistical skills and a passion for data to drive improvements in technology. This role will be pivotal in leveraging data to optimize product performance, drive strategic decisions, and continuously improve user experience through rigorous testing.

Part of the scope of this role is measuring, experimenting on, and quantifying the impact of the DFM AI + IQE integration with our partner ecosystem (Designcenter, Teamcenter).

Responsibilities

• Advanced Analytics: Conduct comprehensive analysis of product usage, user behavior, and performance metrics to identify opportunities for improvement.
• Experimentation Design & Management: Design, implement, and manage A/B tests, causal analysis, and other experiments. Define clear hypotheses, target segments, and success metrics.
• Experimentation Analysis: Analyze experiment results using statistical methods, providing detailed reports and actionable recommendations.
• Integration Measurement: Own measurement and experimentation strategy for the embedded DFM AI + IQE integration, defining success metrics and instrumentation across in-CAD experience and marketplace funnels.
• KPI Definition & Tracking: Define KPIs and establish tracking and reporting mechanisms across PLM/CAD contexts and marketplace operations.
• Dashboarding & Visualization: Develop and maintain dashboards to visualize experiment results, key metrics, and trends.
• Collaboration: Partner closely with product managers, engineers, designers, machine learning scientists, and partner engineering teams.
• Data Storytelling & Integrity: Communicate complex insights to diverse audiences including leadership, while ensuring cross-system data accuracy and developing experimentation methodologies.

Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, Data Analytics, Mathematics, Statistics, Information Systems, Economics, or another quantitative discipline.
• 6–8 years of relevant experience.
• Strong proficiency in data analysis, statistical modeling, and data visualization.
• Proven experience designing, implementing, and analyzing A/B tests and other experiments.
• Solid understanding of statistical significance and hypothesis testing.
• Proficiency in SQL is required.
• Strong analytical and problem-solving skills, with excellent communication and presentation capabilities.

Nice to Have

• Proficiency in Python.
• Experience with Looker.
• Experience with multi-surface or partner-integration analytics (CAD/PLM integrations, embedded experiences, B2B SaaS plugins).
• Familiarity with CAD, PLM, or manufacturing workflows.
• Hands-on experience with quasi-experimental and causal inference methods (difference-in-differences, synthetic control, CUPED, switchback, geo-experiments).