Senior Data Scientist, Product Analytics

Senior Data Scientist (Product Analytics)

About

Xometry powers the industries of today and tomorrow by connecting people with big ideas to the manufacturers who can bring them to life. Our digital marketplace gives manufacturers critical resources to grow their business and makes it easy for buyers to tap into global manufacturing capacity. We are looking for a highly analytical and data-driven Senior Data Scientist with statistical skills and a passion for data to drive improvements in technology.

Responsibilities

• Conduct comprehensive analysis of product usage, user behavior, and performance metrics to identify opportunities for improvement.
• Design, implement, and manage A/B tests, causal analysis, and other experiments.
• Analyze experiment results using statistical methods, providing detailed reports and recommendations.
• Own the measurement and experimentation strategy for the embedded DFM AI + IQE integration with our partner.
• Define success metrics and instrumentation across the in-CAD experience and the Xometry marketplace.
• Design cross-surface experiments and causal analyses that join the two funnels.
• Quantify the funnel from designer intent in Teamcenter to manufactured part.
• Define key performance indicators (KPIs) and establish robust tracking and reporting mechanisms.
• Develop and maintain dashboards to visualize experiment results, key metrics, and trends.
• Work closely with product managers, engineers, designers, machine learning scientists, and partner engineering teams to implement and iterate on experiment findings and product improvements.
• Communicate complex data insights and experiment results clearly and compellingly to diverse audiences, including leadership.
• Ensure data accuracy and integrity for all analysis and experimentation.
• Contribute to the development and improvement of our experimentation methodologies and best practices.

Requirements

• 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 in designing, implementing, and analyzing A/B tests and other experiments.
• Solid understanding of statistical significance and hypothesis testing.
• SQL is a must.
• Python is nice to have.
• Any experience with Looker is also desirable.
• Knowledge of data science concepts and methodologies.
• Excellent communication and presentation skills, with the ability to explain complex data insights.
• Strong analytical and problem-solving skills.
• Experience working in a product-driven environment.
• Attention to detail and a commitment to data accuracy.
• Experience designing experiments and metrics across multi-surface or partner-integrated products.
• Familiarity with CAD, PLM, or manufacturing workflows.