Senior Data Scientist, Product Analytics

Xometry; Cadentown (KY); On-site; USD 140,000 - 190,000; Full time

Job summary

Xometry in Lexington, KY is seeking a Senior Data Scientist (Product Analytics) to turn product usage and user behavior into measurable improvements. You will design experiments, build metrics, and work across product, engineering, and partner teams to drive the roadmap with rigorous data-driven insights.

You’ll own KPI definition, dashboards, and data integrity across in-CAD and marketplace surfaces, including DFM AI + IQE integration with our partner ecosystem.

Qualifications

• Bachelor's degree in a quantitative field required.
• 6-8 years of relevant experience.
• Strong proficiency in data analysis, statistics, and visualization.
• Experience designing, implementing, and analyzing A/B tests.
• Solid understanding of statistical significance and hypothesis testing.
• Experience with PLM/CAD data context is a plus.

Responsibilities

• Conduct advanced analytics to identify opportunities for product improvement.
• Design, implement, and manage A/B tests and experiments with clear hypotheses and metrics.
• Analyze experiment results and translate findings into actionable insights.
• Own the measurement and experimentation strategy for the embedded DFM AI + IQE integration with our partner; define metrics across CAD/PLM surfaces.
• Define and track KPIs; build robust reporting mechanisms for PLM/CAD and marketplace contexts.
• Develop and maintain dashboards to visualize results and trends for stakeholders.
• Collaborate with product managers, engineers, designers, ML scientists, and partner teams to iterate on findings.
• Ensure data integrity across cross-system data flows spanning Siemens and Xometry surfaces.
• Contribute to methodology development for partner-integrated products and multi-surface analytics.

Skills

Advanced Analytics

Experimentation Design & Management

Experimentation Analysis

Integration Measurement

KPI Definition & Tracking

Dashboarding & Visualization

Collaboration

Data Storytelling

Data Integrity

Methodology Development

Education

Bachelor's degree in a quantitative field

Tools

SQL

Python

Looker

Job description

Senior Data Scientist, Product Analytics

Lexington, KY

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 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 our user experience through rigorous testing. You will delve deeply into product data, design and analyze experiments, and provide actionable insights that directly impact our product roadmap.

Part of the scope of this role is measuring, experimenting on, and quantifying the impact of one of Xometry's highest-leverage strategic initiatives: the DFM AI + IQE integration with our partner. You will design the metric framework, experimentation strategy, and reporting that tell us whether the embedded experience inside the partner's ecosystem - Designcenter, and Teamcenter - is actually delivering the \"science fiction speed\" digital thread from ideation to delivery, and how to make it better.

How You’ll Contribute:

• 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 recommendations. Identify statistically significant findings and translate them into actionable insights


• Integration Measurement: 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 (Solid Edge, NX, Designcenter) and the Xometry marketplace, design cross-surface experiments and causal analyses that join the two funnels, work through the identity-resolution, attribution, and statistical-power challenges of low-volume enterprise cohorts, and quantify the funnel from designer intent in Teamcenter to manufactured part - making the digital thread's business impact legible to leadership.


• KPI Definition & Tracking: Define key performance indicators (KPIs) and establish robust tracking and reporting mechanisms, including KPIs that make sense in a PLM/CAD context (e.g., time-from-design-to-quote, in-CAD-to-order conversion, designer adoption per seat) as well as in the marketplace


• Dashboarding & Visualization: Develop and maintain dashboards to visualize experiment results, key metrics, and trends, making data accessible and understandable to stakeholders


• Collaboration: Work closely with product managers, engineers, designers, machine learning scientists, and — for the Siemens integration — partner engineering teams to implement and iterate on experiment findings and product improvements


• Data Storytelling: Communicate complex data insights and experiment results clearly and compellingly to diverse audiences, including leadership


• Data Integrity: Ensure data accuracy and integrity for all analysis and experimentation, including the cross-system data flows that span the Siemens and Xometry surfaces


• Methodology Development: Contribute to the development and improvement of our experimentation methodologies and best practices, especially for partner-integrated and multi-surface products

What You’ll Bring to Xometry:

• 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 — including to external partner engineering teams


• Strong analytical and problem-solving skills


• Experience working in a product-driven environment


• Attention to detail and a commitment to data accuracy

Nice to have:

• multi-surface / partner-integration analytics: Experience designing experiments and metrics across multi-surface or partner-integrated products (embedded experiences, CAD/PLM integrations, B2B SaaS plug-ins, extension or in-app funnels), including the identity-resolution, attribution, and statistical-power problems that come with low-volume enterprise cohorts.


• CAD/PLM/manufacturing fluency: Familiarity with CAD, PLM, or manufacturing workflows; comfort talking with designers, manufacturing engineers, and partner engineering teams about how they actually use tools day-to-day.


• causal methods at scale: Hands-on experience with quasi-experimental and causal inference methods (difference-in-differences, synthetic control, CUPED, switchback, geo-experiments) for situations where clean