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Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting people with big ideas to manufacturers who can bring them to life. Xometry's digital marketplace provides manufacturers with critical resources to grow their business and makes it easy for buyers at Fortune 1000 companies to access global manufacturing capacity.
Xometry is seeking a
Senior Data Scientist
to join our Pricing and Sourcing Science team. This role involves leveraging advanced statistical modeling and machine learning to analyze pricing and sourcing dynamics within our marketplace. You will build scalable, adaptive decision-making systems that support core features of our custom manufacturing platform. 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 market trends, competitive pricing, and customer behavior to generate insights and support business growth. Build and maintain scalable data pipelines, ensuring code quality, reproducibility, and deployment best practices. Utilize cloud platforms (AWS, GCP, Azure) for processing and modeling large datasets. Collaborate with teams and communicate insights effectively to technical and non-technical stakeholders, influencing strategic decisions at the leadership level. Qualifications: Education:
Bachelor's degree in Applied Math, Computer Science, Statistics, Engineering, or related fields; Master's or Ph.D. preferred. Experience:
5+ years in Data Science, Machine Learning, or Applied Econometrics, with a proven track record in predictive and causal inference models, especially in pricing, marketplace, or supply chain contexts. Experience with experimental design in real-world business settings. Technical Skills:
Proficiency in Python (pandas, NumPy, SciPy, scikit-learn, TensorFlow/PyTorch), strong SQL skills, experience with large-scale data platforms (Snowflake, Redshift), and familiarity with cloud computing (AWS). Business & Communication:
Ability to translate data insights into business recommendations and present findings to executive stakeholders. Industry Experience:
Familiarity with manufacturing or logistics industries and their unique challenges. #LI-Hybrid Xometry is an equal opportunity employer. All applicants will be considered regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, or disability. For US-based roles: Xometry participates in E-Verify and will verify employment eligibility upon accepting a job offer. #J-18808-Ljbffr
Senior Data Scientist
to join our Pricing and Sourcing Science team. This role involves leveraging advanced statistical modeling and machine learning to analyze pricing and sourcing dynamics within our marketplace. You will build scalable, adaptive decision-making systems that support core features of our custom manufacturing platform. 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 market trends, competitive pricing, and customer behavior to generate insights and support business growth. Build and maintain scalable data pipelines, ensuring code quality, reproducibility, and deployment best practices. Utilize cloud platforms (AWS, GCP, Azure) for processing and modeling large datasets. Collaborate with teams and communicate insights effectively to technical and non-technical stakeholders, influencing strategic decisions at the leadership level. Qualifications: Education:
Bachelor's degree in Applied Math, Computer Science, Statistics, Engineering, or related fields; Master's or Ph.D. preferred. Experience:
5+ years in Data Science, Machine Learning, or Applied Econometrics, with a proven track record in predictive and causal inference models, especially in pricing, marketplace, or supply chain contexts. Experience with experimental design in real-world business settings. Technical Skills:
Proficiency in Python (pandas, NumPy, SciPy, scikit-learn, TensorFlow/PyTorch), strong SQL skills, experience with large-scale data platforms (Snowflake, Redshift), and familiarity with cloud computing (AWS). Business & Communication:
Ability to translate data insights into business recommendations and present findings to executive stakeholders. Industry Experience:
Familiarity with manufacturing or logistics industries and their unique challenges. #LI-Hybrid Xometry is an equal opportunity employer. All applicants will be considered regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, or disability. For US-based roles: Xometry participates in E-Verify and will verify employment eligibility upon accepting a job offer. #J-18808-Ljbffr