About
Qualifications:
Experience working with data sets; processing, analyzing, and communicating results. Ability to clearly explain findings from complex analyses in case studies and through visualizations A passion for empirical research and for answering hard questions with data in a clear and precise way Ability to take high level, loosely-defined business problems and identify precise, quantitative solutions Familiarity with relational databases and SQL, data transformation (ETL), data mining, ad-hoc analysis Experience conducting methods using any of the following: machine learning, predictive modeling, statistical inference, experimental design, data mining, and optimization Solid understanding of a broad range of Regression techniques Experience coding with at least two of the following: R, Python (including scientific libraries SciPy, Scikit, Pandas, and NumPy preferred), Scala, and SQL languages for interactions with relational databases [Desired] Experience in Linux/Unix environment and shell scripting [Desired] Familiarity with Big Data platforms such as Hadoop, Spark, building data warehouses and data lakes in Amazon Web Services and/or Microsoft Azure Ability to communicate results and progress internally and externally in meetings, presentations, and tech talks Minimum of a Bachelor's Degree in a quantitative field (computer science, mathematics, statistics, physics, engineering, etc.); research experience or relevant graduate studies a plus.
Languages
- English
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