Xometry is seeking a Senior Data Scientist to leverage advanced statistical modeling and machine learning to understand short-term and longer-term pricing and sourcing dynamics in their marketplace. The goal is to build scalable and adaptive decision-making systems that power core features of their custom manufacturing marketplace.
Requirements
- Proficiency in Python (pandas, NumPy, SciPy, scikit-learn, TensorFlow/PyTorch preferred).
- Strong SQL skills and experience querying large-scale data platforms (e.g., Snowflake, Redshift).
- Familiarity with scientific software principles (version control, reproducibility, testing).
- Experience with cloud computing (AWS preferred).
- Proven track record developing predictive and causal inference models, preferably in pricing, marketplace, or supply chain contexts.
- Experience with experimental design and statistical inference in real-world business settings.
Responsibilities
- Develop and implement statistical and machine learning models to optimize pricing, lead times, and sourcing strategies.
- Design and evaluate experiments (A/B tests, multi-armed bandits, contextual bandits) to enable data-driven decision-making.
- Build and maintain scalable data pipelines with a focus on code quality, reproducibility, and best practices for deployment.
- Utilize cloud platforms (AWS, GCP, or Azure) to efficiently process and model large-scale datasets.
- Assess competitive pricing trends, market dynamics, and customer behavior to generate strategic insights and drive business growth.
Other
- Collaborate across teams and clearly communicate insights to both technical and non-technical stakeholders, shaping strategy at the leadership level.
- Ability to translate data insights into business recommendations.
- Strong communication skills, comfortable presenting technical findings to executive stakeholders.
- Experience in the Manufacturing or Logistics Industry: Familiarity with the unique challenges and opportunities within these industries.
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- Bachelor's degree in Applied Math, Computer Science, Statistics, Engineering, or a related field (Master's or Ph.D. strongly preferred).
