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 highly analytical Senior Data Scientist with statistical skills and a passion for data to drive improvements in technology. This role will be pivotal in leveraging data to optimize product performance, drive strategic decisions, and continuously improve our user experience through rigorous testing. You will delve deeply into product data, design and analyze experiments, and provide actionable insights that directly impact our product roadmap. This is a 1-year contract.
Responsibilities:
- Advanced Analytics: Conduct comprehensive analysis of product usage, user behavior, and performance metrics to identify opportunities for improvement.
- Experimentation Design & Management: Design, implement, and manage A/B tests, causal analysis and other experiments. Define clear hypotheses, target segments, and success metrics.
- Experimentation Analysis: Analyze experiment results using statistical methods, providing detailed reports and recommendations. Identify statistically significant findings and translate them into actionable insights.
- KPI Definition & Tracking: Define key performance indicators (KPIs) and establish robust tracking and reporting mechanisms.
- Dashboarding & Visualization: Develop and maintain dashboards to visualize experiment results, key metrics, and trends, making data accessible and understandable to stakeholders.
- Collaboration: Work closely with product managers, engineers, designers, and machine learning scientists to implement and iterate on experiment findings and product improvements.
- Data Storytelling: Communicate complex data insights and experiment results clearly and compellingly to diverse audiences, including leadership.
- Data Integrity: Ensure data accuracy and integrity for all analysis and experimentation.
- Methodology Development: Contribute to the development and improvement of our experimentation methodologies and best practices.
Qualifications:
- Bachelors Degree in Computer Science, Computer Engineering, Data Analytics, Mathematics, Statistics, Information Systems, Economics, or other quantitative discipline
- 5+ years of relevant experience as a Data Scientist
- 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.
- 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.
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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.
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What We Do
Xometry is the leading AI-enabled marketplace for on-demand manufacturing, transforming one of the largest industries in the world. With its proprietary technology, Xometry creates a marketplace that enables designers and engineers to rapidly source high-quality on-demand manufactured parts and assemblies. Xometry's innovative platform also empowers sellers of manufacturing services across the nation to grow their businesses. Xometry’s buyers range from self-funded startups to Fortune 100 companies.
