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 adding a Senior Data Scientist to our Data Science team. The ideal candidate will have a passion for using data science techniques to solve large-scale business problems. Additionally, this person will use their knowledge of probability and statistics to make defensible statistical inferences from data. This is a 1-year contract.

Responsibilities:

Use data analysis and visualizations (examples include Looker, Jupyter Notebooks, Python, Pandas) to inform the business strategy for cost predictions in a two-sided marketplace

Query and extract data from databases (Snowflake and Mongo DB)

Developing hypotheses and conducting statistical analysis to answer business questions

Design, implement and analyze results from experiments (A/B Tests)

Analyze formulaic algorithms for accuracy, provide recommendations, and update production code

Relentlessly iterate solutions within a fast-paced environment where ambiguity is the norm

Solve challenging, uncharted problems

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 pricing algorithms and product led technology

Proficient in SQL and Python (numpy, scipy, pandas, and sklearn preferred)

Experience interacting with APIs using Python

Proficient in applied statistics (distribution of random variables, p-values, confidence interval, standard error, power, type I and II errors)

Proficient in statistical tests (t-test, ANOVA, Chi-Square test)

Fluent with scientific software principals, e.g. versioning systems, reproducibility, code deployment

Ability to work in a fast-paced environment and shift gears quickly

Must be able to work core aligned hours to US Eastern Time / GMT-5

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