Senior Data Scientist
Xometry
Full Time5+ yearsPosted 10 days ago
Let the right jobs find you
Get personalised suggestions from verified company career pages, matched to your role, location, level, and skills.
Overview
Position Type
Full Time
Experience
5+ years
Job Description
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