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Data Scientist II

Xometry

Salary not specified
Aug 12, 2025
North Bethesda, MD, US
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Xometry is seeking a Data Scientist II to leverage data to optimize product performance, drive strategic decisions, and continuously improve the user experience.

Requirements

  • Strong proficiency in data analysis, statistical modeling, and data visualization
  • Proven experience in designing, implementing, and analyzing A/B tests and other experiments
  • Solid understanding of statistical significance and hypothesis testing
  • SQL is a must
  • Python is nice to have
  • Any experience with Looker is also desirable
  • Knowledge of data science concepts and methodologies

Responsibilities

  • Conduct comprehensive analysis of product usage, user behavior, and performance metrics to identify opportunities for improvement
  • Design, implement, and manage A/B tests, causal analysis and other experiments
  • Analyze experiment results using statistical methods, providing detailed reports and recommendations
  • Define key performance indicators (KPIs) and establish robust tracking and reporting mechanisms
  • Develop and maintain dashboards to visualize experiment results, key metrics, and trends
  • Ensure data accuracy and integrity for all analysis and experimentation
  • Contribute to the development and improvement of experimentation methodologies and best practices

Other

  • Work closely with product managers, engineers, designers, and machine learning scientists to implement and iterate on experiment findings and product improvements
  • Communicate complex data insights and experiment results clearly and compellingly to diverse audiences, including leadership
  • Bachelors Degree in Computer Science, Computer Engineering, Analytics, Mathematics, Statistics, Information Systems, Economics, or other quantitative discipline
  • 3+ years of relevant experience
  • Excellent communication and presentation skills, with the ability to explain complex data insights
  • Strong analytical and problem-solving skills
  • Experience working in a product-driven environment
  • Attention to detail and a commitment to data accuracy