Data Science Analyst

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 (NASDAQ: XMTR) is the global source for on-demand manufacturing, transforming one of the largest industries in the world. Our AI-driven marketplace connects buyers—ranging from independent engineers and designers to Fortune 100 procurement teams—with a global network of over 10,000 manufacturing partners. We provide instant pricing, lead times, and manufacturability feedback for custom parts, empowering the creators of today to build the products of tomorrow.

Xometry is seeking a visionary and results-oriented Staff Data Science Analyst to lead data science across key product and business problems, using analytics, experimentation, statistical methods, and machine learning to drive better decisions and measurable outcomes. As a founding Data Scientist for Xometry’s India PDT team, you will also help establish strong data practices, build cross-region trust and collaboration, and foster a culture of innovation and execution as the organization scales.

How You'll Contribute:

AI Driven Analytics

• Drive AI-Enabled Software Development: Champion the adoption of AI across the SDLC, identifying and scaling innovative ways to accelerate data analytics across Xometry

Analytics & Business Insights

• Define metrics to measure product and business performance.
• Analyze data to identify opportunities, issues, and key business drivers.
• Turn insights into actionable recommendations and estimate business impact.
• Build dashboards and visualizations to track performance and trends.

Experimentation & Statistical Inference

• Design experiments to measure the impact of product and business changes.
• Apply statistical and causal inference methods to draw reliable conclusions from data.

Predictive Modeling & Machine Learning

• Build and evaluate predictive models that estimate the likelihood of key business outcomes. Apply machine learning and statistical modeling to improve decision-making and automate business processes.

Data, Tools & Technical Leadership

• Prepare and analyze large datasets using cloud platforms such as AWS and Snowflake.