Job Duties: Designs, develops and programs methods, processes, and systems to consolidate and analyze unstructured, diverse “big data” sources to generate actionable insights and solutions for client services and product enhancement. Interacts with product and service teams to identify questions and issues for data analysis and experiments. Develops and codes software programs, algorithms and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources. Identifies meaningful insights from large data and metadata sources; interprets and communicates insights and findings from analysis and experiments to product, service, and business managers. May telecommute. (385.32264)
Employer will accept a Master's degree in Computer Science, Operations Research, Industrial Engineering, Applied Mathematics, Statistics, Engineering, or related technical field.
Position requires:
1. Statistical Analysis;
2. Econometrics;
3. Implementation of algorithms for classification, clustering, and deep learning;
4. Machine Learning techniques, including Ordinary Least Squares (OLS) regression, Clustering using Expectation maximization algorithm for Maximum Likelihood Estimation (MLE),
Decision Trees, Random Forests, Support Vector Machines (SVM), and Naïve Bayes Classifier;
5. Analytic/statistical programming language such as R or Python;
6. Computer vision concepts or image processing and object recognition
Career Level - IC2