> Markdown version of [/jobs/ext/2112640-senior-data-scientist-product-analytics](https://www.wearedevelopers.com/jobs/ext/2112640-senior-data-scientist-product-analytics). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Data Scientist, Product Analytics - **Company:** Xometry - **Location:** Gaithersburg, United States (Remote available) - **Experience:** Expert - **Salary:** $140,000.0 - $160,000.0 - **Contract:** Permanent contract - **Skills:** Computer-Aided Design, A/B Testing, Artificial Intelligence, Data Analysis, Information Systems, Computer Engineering, Data Integrity, Data Presentation, Data Visualization, Statistical Hypothesis Testing, Python (Programming Language), Machine Learning, Process Driven Development, Solid Edge, SQL Databases, Data Streaming, Usage Analysis, Flexi (Photoshop Plugin), Information Technology, Data Analytics, Looker Analytics, Teamcenter (Software) - **Published:** August 19, 2026 - **Apply:** https://arc.dev/remote-jobs/j/redirect/mp7cf0sapd ## About the Role * 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 A/B isn't feasible - common when the experimental unit is an enterprise account or a designer inside a partner environment. ## Description * 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 ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Future of Mobile AI. What On-Device Intelligence Means for App Developers](https://www.wearedevelopers.com/videos/100264-future-of-mobile-ai-what-on-device-intelligence-means-for-app-developers) - [Bringing the power of AI to your application.](https://www.wearedevelopers.com/videos/1010-bringing-the-power-of-ai-to-your-application) - [The Innovation Formula: Fast Prototyping, Data Analysis, and Real User Insights](https://www.wearedevelopers.com/videos/1421-the-innovation-formula-fast-prototyping-data-analysis-and-real-user-insights) - [Data Science on Software Data](https://www.wearedevelopers.com/videos/162-data-science-on-software-data) - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) ## Related Articles - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market) - [Data Analyst Salary Germany](https://www.wearedevelopers.com/magazine/277-data-analyst-salary-germany) - [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk)