Xometry is seeking a Staff Economist to join our Pricing and Sourcing Science team. This person will leverage advanced econometric methods, statistical modeling and machine learning to understand short-term and longer-term pricing dynamics at play in our marketplace. Coupled with rigorous experimentation, you will build scalable and adaptive decision making systems that power core features of our custom manufacturing marketplace. 

Key Responsibilities:

Design and build econometric and causal models to characterize price and lead-time elasticity Lead the development of pricing strategies that achieve overall business objectives Utilize advanced econometric techniques to model pricing behaviors for different customer segments and manufacturing processes and forecast financial outcomes Analyze competitive pricing trends to provide insights and recommendations Apply technical expertise to tackle complex business problems, providing innovative solutions that improve efficiency and drive growth.  Collaborate closely with cross-functional teams, including Engineering, Product, and Business, to understand their data needs and deliver impactful solutions. Implement robust and scalable methodologies, emphasizing best practices in code reproducibility, version control, and model deployment.

Qualifications:

Ph.D. in Economics, Finance, or a related field, with a focus on pricing strategies or market analysis Experience:  5+ years of experience as economist or a similar role, with a proven track record of success. Experience with pricing and auction algorithms and technology-driven product development. Experience with randomized test design, Multi-arm and Contextual bandit frameworks Demonstrated ability to work in a fast-paced, ambiguous environment and manage shifting priorities effectively. Technical Skills:  Proficiency in Python, SQL, and machine learning libraries (e.g., scikit-learn, TensorFlow).  Knowledge of scientific software principles, including version control, code reproducibility, and deployment practices. Strong understanding of statistical concepts and their application to real-world problems. Business Acumen: Ability to translate data-driven insights into actionable business recommendations. Communication: Excellent written and verbal communication skills, with the ability to explain complex technical concepts to non-technical audiences. Problem-Solving: Creative problem-solving skills and a passion for finding innovative solutions. Additional Requirement: Must be able to work core hours aligned with US Eastern Time (GMT-5).

Preferred Qualifications:

Experience in the Manufacturing or Logistics Industry: Familiarity with the unique challenges and opportunities within these industries.

Cloud Computing: Experience with cloud computing platforms (e.g., AWS, GCP, Azure).

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