Xometry
SeniorDataScientist,ProductAnalytics
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Data Scientist, Product Analytics at Xometry. Skills: Product analytics, Experimentation, Causal inference, Data science. Conduct analysis of product usage. Analyze user behavior”
What You'll Achieve.
Optimize product performance; Drive strategic decisions; Improve user experience; Quantify impact of integration
Industry & Context.
Data-driven decision making
What They're Looking For.
Must Have
Statistical skills, Product data analysis, Experimentation design, Causal inference methods
Nice to Have
PhD preferred, GCP Professional Data Engineer, AWS Data Analytics, Databricks Certified, dbt Certified
What You'll Do.
Conduct analysis of product usage
Analyze user behavior
Analyze performance metrics
Identify opportunities for improvement
Design metric framework
Design experimentation strategy
How You'll Work.
Team & Collaboration
Partner engineering teams; Manufacturing engineers; Designers
Full Job Description
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. Responsibilities Advanced Analytics: Conduct comprehensive analysis of product usage, user behavior, and performance metrics to identify opportunities for improvement. Experimentation Design 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 des
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