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Data Analyst, Data Science (9967694)


  • Apply data mining and modeling skills to problems in areas such as Real Estate & Design and/or Transportation.
  • Build ML models and partner with Engineering to productionize results in tools and data pipelines. 
  • Utilize visualization and storytelling skills to drive data-driven decision-making.


  • Working knowledge with SQL, Hive, Presto and big data systems and tools
  • Working experience in Python, R, etc for data exploratory analysis and machine learning models.
  • Experienced with end-to-end data science projects in time series forecasting, clustering regression or classification using at least two of the following algorithms: ARIMA, Linear Regression, decision trees, random forest, XGBoost, logistic regression, K-Means, DBSCAN.
  • Understanding of modeling fundamentals and best practices (e.g., feature selection, Bias-Variance Tradeoff)
  • Demonstrated experience in applying statistical and/or algorithmic approaches to solving real-world problems
  • Experience in communicating model results to leadership and cross-functional team members.
  • 4-9 years of experience


  • Bachelor's degree in a quantitative field such as Statistics, Mathematics, Economics, Computer Science, Quantitative Finance, Math, Physics or a related Engineering degree



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