We’re looking for a candidate to fill this position in an exciting company.
Translate advanced business analytics problems into technical approaches that yield actionable recommendations, in diverse domains (Financial Services, Real Estate, Infrastructure, Supply chain, and Pharmaceutical, etc.)
Perform exploratory data analysis, generate, and test working hypotheses to uncover interesting trends and relationships
Analyze and model structured data and implement algorithms to support analysis using advanced statistical and mathematical methods from statistics, machine learning, data mining, econometric and operations research
Minimum of 8 years of prior experience working in teams of data & analytics professionals to deliver on business-driven analytics projects using predictive modeling, natural language processing, machine learning on structure and unstructured data, and/or information retrieval;
Master’s degree from an accredited college/university in Statistics, Computer Science, Engineering, or related fields; PhD from an accredited college/university is preferred;
Understanding of data preparation, machine learning, deep learning, natural language processing; ability to discuss mathematical formulations, alternatives, and impact on modeling approach; Understanding of development practices such as testing, code design, complexity, and code optimization;
Fluency in Python/R; Proficiency in AI related frameworks (NLTK, Spacy, Scikit-Learn, Tensorflow); and experience with platforms (Google Cloud, Azure, and AWS); Ability to pick up new languages and technologies quickly.