Senior Data Scientist - Product And Experimentation

Detalhes da Vaga

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 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.#J-18808-Ljbffr


Salário Nominal: A acordar

Fonte: Talent_Dynamic-Ppc

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