Xometry is seeking a  results-oriented Senior Data Scientist to lead data science across key product and business problems, using analytics, experimentation and statistical methods  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

Data, Tools & Technical Leadership

• Prepare and analyze large datasets using cloud platforms such as AWS and Snowflake
• Use SQL, Python, Jupyter Notebooks, Looker, and related tools to analyze data and generate insights
• Partner with Product, Engineering, and business teams to shape strategy and priorities
• Clearly communicate insights, model results, and recommendations to stakeholders

Found and Scale Xometry’s India Product Development Center

• Serve as a founding Data Scientist, establishing strong data science practices and building a high-performing team

What You'll Bring to Xometry:

• 5+ years of progressive data scientist experience
• Bachelor’s degree required; degree in applied math, computer science, natural sciences or engineering preferred
• M.S. or Ph.D. in a related field highly desired
• 5+ years of experience with machine learning, statistical modeling, and optimization techniques
• Fluent in Python (pandas, numpy, SciPy, and scikit-learn preferred)
• Proficient in linear algebra and statistics
• Familiar with scientific software principals, e.g. versioning systems, reproducibility
• Experience in the manufacturing industry is desired

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