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 Scientist 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.
RESPONSIBILITIES
AI Driven Analytics
* Drive AI-Enabled Software Development: Champion the adoption of AI across the
SDLC, identifying and scaling cutting-edge 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 statisti
📌 Staff Data Scientist (Bengaluru)
🏢 Xometry
📍 Bengaluru
Reply to this offer
Impress this employer describing Your skills and abilities, fill out the form below and leave Your personal touch in the presentation letter.