Senior Data Scientist, Cost Prediction

Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry’s digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity.

Xometry is seeking a Senior Data Science to join our Data Science team. This person will develop cost prediction models, leverage data to solve complex business challenges, and work closely with cross-functional teams to understand their data needs and deliver impactful solutions. The ideal candidate has a deep understanding of data science methodologies, strong statistical expertise, and proficiency in machine learning algorithms. This is a 1-year contract with the potential for extension.

Key Responsibilities:

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

Qualifications:

• Bachelor’s Degree: A bachelor’s degree is required; Master's or Ph.D. in Data Science, Statistics, Computer Science, or a related quantitative field is highly preferred. 
• Experience: 
• 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.
• Technical Skills: 
• 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.
• Statistical Expertise: 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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Here at Xometry we believe in diversity, equity, inclusion and belonging. We are committed to welcoming, respecting, and valuing people for who they are as individuals, learning from their differences, embracing their uniqueness, and providing a positive workplace for all.

Xometry is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status.

For US based roles: Xometry participates in E-Verify and after a job offer is accepted, will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.