Xometry

Xometry

Xometry is a top AI-enabled marketplace for on-demand manufacturing, providing CNC machining, 3D printing, and more. Fast lead times and high-quality custom parts for engineers and designers worldwide.

Industrial Conglomerates
251-1K
Founded 2013

Description

  • Use data analysis, visualization, and modeling tools 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 such as A/B testing.
  • Collaborate with cross-functional teams to translate business needs into data science solutions aligned with Xometry’s objectives.
  • Analyze existing algorithms for accuracy and performance, recommend optimizations, and update production code as needed.
  • Query and extract data from databases such as Snowflake and MongoDB to support analysis and model development.
  • Implement best practices for code reproducibility, version control, and model deployment.
  • Continuously iterate on solutions in a fast-paced, agile environment using innovative, data-driven approaches.
  • Foster collaboration, teamwork, and continuous learning through knowledge sharing and skill development within the team.

Requirements

  • Bachelor’s degree 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, with experience using numpy, scipy, pandas, scikit-learn, and Python-based API integrations preferred.
  • Proficiency in applied statistics, including probability distributions, confidence intervals, statistical tests such as t-tests, ANOVA, and Chi-Square, and power analysis.
  • Experience with pricing algorithms and technology-driven product development.
  • Knowledge of scientific software principles, including version control, code reproducibility, and deployment practices.
  • Ability to work effectively in a fast-paced, ambiguous environment and manage shifting priorities.
  • Must be able to work core hours aligned with US Eastern Time (GMT-5).
  • Strong communication and interpersonal skills to collaborate with global teams and explain complex technical concepts to non-technical stakeholders.

Interested in this position?

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