Senior Data Scientist

Summary

Join Xometry's Data Science team as a Senior Data Scientist! Develop and implement advanced cost prediction models for custom manufacturing. Leverage data to solve complex business challenges and collaborate with cross-functional teams. The ideal candidate possesses strong statistical expertise, proficiency in machine learning, and 5+ years of relevant experience. This is a 1-year contract position with the potential for extension. You will analyze algorithms, optimize performance, and work in a fast-paced environment. Contribute to impactful solutions by applying data science methodologies and best practices.

Requirements

• A bachelor’s degree is required
• 5+ years of experience in data science or a similar role, with a proven track record of success
• Experience with pricing algorithms and technology-driven product development
• Demonstrated ability to work in a fast-paced, ambiguous environment and manage shifting priorities effectively
• Proficiency in Python or R, 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
• Ability to translate data-driven insights into actionable business recommendations
• Excellent written and verbal communication skills, with the ability to explain complex technical concepts to non-technical audiences
• Creative problem-solving skills and a passion for finding innovative solutions
• Must be able to work core hours aligned with US Eastern Time (GMT-5)

Responsibilities

• Develop and implement advanced cost prediction models that accurately forecast costs associated with custom manufacturing
• Analyze existing algorithms for accuracy and performance, provide recommendations for optimization, and update production code as necessary
• Apply data science expertise to tackle complex business problems, providing innovative solutions that improve efficiency and drive growth
• Work closely with cross-functional teams, including Engineering, Product, and Business, to understand their data needs and deliver impactful solutions
• Implement robust data science methodologies, emphasizing best practices in code reproducibility, version control, and model deployment

Preferred Qualifications

• Master's or Ph.D. in Data Science, Statistics, Computer Science, or a related quantitative field
• Experience in the Manufacturing or Logistics Industry: Familiarity with the unique challenges and opportunities within these industries
• Experience with cloud computing platforms (e.g., AWS, GCP, Azure)

Benefits

• #LI-Remote
• 1-year contract with the potential for extension