About the role
Xometry is seeking a results-oriented Senior Data Science Analyst 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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