Xometry is seeking a Senior Data Scientist to join our Pricing and Sourcing Science team. This person will leverage advanced statistical modeling and machine learning to understand short-term and longer-term pricing and sourcing 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. 

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. Assess competitive pricing trends, market dynamics, and customer behavior to generate strategic insights and drive business growth. 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. Collaborate across teams and clearly communicate insights to both technical and non-technical stakeholders, shaping strategy at the leadership level.

Qualifications:

Education: Bachelor’s degree in Applied Math, Computer Science, Statistics, Engineering, or a related field (Master’s or Ph.D. strongly preferred). Experience: 5+ years of experience in Data Science, Machine Learning, or Applied Econometrics. 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. Technical Skills: 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). Business & Communication: Ability to translate data insights into business recommendations. Strong communication skills, comfortable presenting technical findings to executive stakeholders. Preferred Qualifications: Experience in the Manufacturing or Logistics Industry: Familiarity with the unique challenges and opportunities within these industries.

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