Senior Data Science Analyst
Xometry
Salary undisclosed
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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 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
#LI-Hybrid
Xometry is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status.
For US based roles: Xometry participates in E-Verify and after a job offer is accepted, will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.
About this role
Xometry is building out its India product development center and seeking a Senior Data Scientist to be a founding member of that team. You'd own data science across product and business problems—designing experiments, building statistical models, and translating findings into actionable recommendations for stakeholders across Product, Engineering, and business functions. The role blends hands-on analytics work (SQL, Python, Looker, AWS, Snowflake) with strategic influence, as you'll help shape priorities and drive adoption of AI-enabled approaches across the software development lifecycle.
Beyond individual contributions, you'd establish data science practices and culture for a growing organization. This is particularly suited to someone with 5+ years of progressive data science experience, strong foundations in statistics and machine learning, and comfort working across ambiguity as you scale a new function. Manufacturing industry experience is valued but not required; what matters more is fluency in Python, statistical rigor, and the ability to communicate complex insights clearly to non-technical teams.
The hybrid arrangement is based in Bangalore. This role offers the opportunity to shape how data science operates at a NASDAQ-listed company from the ground up, rather than joining an established function.
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