Data Scientist

Responsibilities include:

Enhance data collection procedures to include all relevant information for developing analytic systems. Mine and extract data from various sources to maintain data quality programs and leverage these sources to identify and interpret trends or patterns in complex datasets. Perform exploratory data analysis (EDA), data profiling, and data cleaning on a variety of datasets. Learn and identify data relationships across multiple contributing sources, developing, and discovering direct and inferred data relationships where rules can be defined and consistently applied, and other strategies to optimize the efficiency and quality of the data being collected, normalized, and delivered. Utilize statistical analysis and computing while reviewing large data sets and creating visualization stories with the data. Carry out preprocessing of structured and unstructured data. Build Machine learning models for predictions and build common frameworks/integrations/structures so that models can be used across multiple datasets. Develop statistical and machine learning algorithms, inference rules, probabilistic models, simulation models, prediction systems and visualizations for client pilots and scaled solutions. Qualifications Machine learning modelling expertise and Programming. Anomaly detection using Tensor flow for ML and NVIDIA tools Bachelors degree in Computer Science, Mathematics, Statistics, Econometrics, Operations Research, or another quantitative field is required; Masters/PhD preferred. . ( 5) years experience training, and/or application of Analytics, Data Mining, Predictive Analytics, Data Management, Applied Mathematics, Statistics and/or other related knowledge and skills. Proficiency in data analysis languages including Python (and analysis packages including but not limited to pandas, NumPy, scikit-learn and SQL, unstructured data. .Experience with Tableau/Visualization tools is a plus

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