Senior Data Scientist, Costing

Xometry; Waltham (MA); Hybrid; USD 90,000 - 130,000; Full time

Job summary

A leading manufacturing technology company is looking for a Senior Data Scientist to join their sourcing team. The role involves developing predictive models using machine learning and statistical methods. The ideal candidate should have a strong background in Python and data visualization tools, along with a passion for leveraging data to inform business strategies. This position is open to US citizens or Green Card holders.

Qualifications

• 5+ years of experience with machine learning and optimization techniques.
• Fluent in Python with libraries such as pandas, numpy, SciPy, and scikit-learn.
• Experience in the manufacturing industry is desired.

Responsibilities

• Develop effective predictive models using data science principles.
• Prepare, clean, and sample data for model development.
• Use cloud resources to prepare and process data.

Skills

Machine learning

Statistical modeling

Data visualization

Python

SQL

Education

Bachelor's degree in applied math, computer science, natural sciences or engineering

M.S. or Ph.D. in a related field

Tools

Amazon Web Services

Snowflake

Jupyter Notebooks

Looker

Job description

Overview

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.

Senior Data Scientist to our sourcing team. The ideal candidate will have a passion for using machine learning tools and techniques to construct, optimize, and evaluate predictive models that predict the likelihood of different business outcomes. Additionally, this person will use their knowledge of probability and statistics to make defensible statistical inferences from data.

Responsibilities

• Use data science and machine learning principles to develop effective predictive models
• Write software to prepare, clean, and sample data for use in developing predictive models
• Use cloud resources (e.g., Amazon Web Services) to prepare and process data
• Query and extract data from databases (Snowflake)
• Use data analysis and visualization tools (examples include SQL, Python, Jupyter Notebooks, and Looker) to inform the business strategy
• Relentlessly iterate solutions within a fast-paced environment where ambiguity is the norm
• Work in an environment that thrives on teamwork and continuous learning opportunities

Qualifications

• Bachelor’s degree required; degree in applied math, computer science, natural sciences or engineering preferred
• M.S. or Ph.D. in a related field highly desired
• 5+ years of experience with machine learning, statistical modeling, and optimization techniques
• Fluent in Python (pandas, numpy, SciPy, and scikit-learn preferred)
• Proficient in linear algebra and statistics
• Familiar with scientific software principals, e.g. versioning systems, reproducibility
• Experience in the manufacturing industry is desired
• Must be a US Citizen or Green Card holder (ITAR)

#LI-Hybrid

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.