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 integral manufacturing capacity.

Responsibilities:
- Use data analysis, visualization, and modeling tools (e.g., Looker, Jupyter Notebooks, Python, Pandas) to drive data-driven business strategies, with a focus on cost prediction for a two-sided marketplace.
- Design and execute data science projects, including hypothesis development, statistical analysis, and experimentation (e.g., A/B testing) to answer key business questions and validate assumptions.
- Collaborate with cross-functional teams to translate business needs into data science solutions and ensure alignment with Xometry's objectives.
- Analyze existing algorithms for accuracy and performance, provide recommendations for optimization, and update production code as necessary.




- Query and extract data from databases (e.g., Snowflake, MongoDB) to support analysis and model development.
- Implement robust data science methodologies, emphasizing best practices in code reproducibility, version control, and model deployment.
- Continuously iterate and improve solutions within a fast-paced, agile environment, addressing challenges with innovative, data-driven approaches.
- Foster a culture of collaboration, teamwork, and continuous learning, encouraging knowledge sharing and skill development within the team.

Qualifications:
- A bachelor's degree is required; an advanced degree (M.S. or PhD) in applied math, computer science, data science, engineering, or a related field is highly preferred.
- 5+ years of experience in data science
- Strong expertise in SQL and Python (numpy, scipy, pandas, and scikit-learn preferred) and experience with API integrations using Python.
- Proficient

📌 Senior Data Scientist (Mendoza)
🏢 Xometry
📍 Mendoza