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 MongoDB). Develop hypotheses and conduct 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 PhD 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 principles, 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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