Senior Data Scientist

DUTIES: Perform research, applying the latest methods, algorithms to solve a given problem. Identify business problems or management objectives that can be addressed through data analysis. Identify relationships and trends or any factors that could affect the results of research. Propose solutions in engineering, the sciences, and other fields using mathematical theories and techniques. Develop and implement Artificial Intelligence and Machine Learning algorithms such as Linear Regressions, Logistic Regression, Decision Tree, SVM, Random Forests, Clustering, KNN, Neural Networks, Bagging and Boosting, Recommendation systems etc. Apply feature selection algorithms to models predicting outcomes of interest. Clean and manipulate raw data using statistical software such as Python. Apply sampling techniques to get a more accurate result from a predictive ML algorithm. Analyze data to identify trends or relationships among variables. Apply mathematical principles or statistical approaches to solve problems in scientific or applied fields. Determine appropriate methods for data analysis. Compare models using statistical performance metrics, such as loss functions or proportion of explained variance. Develop scientific or mathematical models. Prepare analytical reports. Coordinate and communicate with client leadership teams to ensure timely completion of project task, ensure high quality deliverables and plan for work allocation. Think of possible risks in the projects and action plan to mitigate the same. Build POCs for data projects to navigate decisions for product enhancements. Think of computationally efficient and business effective analytical solutions. Deliver oral or written presentations of the results of mathematical modeling and data analysis to management or other end users. Create graphs, charts, or other visualizations to convey the results of data analysis using specialized software. Identify business problems or management objectives that can be addressed through data analysis. Identify solutions to business problems, such as budgeting, staffing, and marketing decisions, using the results of data analysis. Advise others on analytical techniques. Present research results to others.

REQUIRED EXPERIENCE: Requires a Master's degree in Data Science, Computer Science, Information Technology, Engineering, Computer Information Systems or related. Duties entail work with Python, SQL and JupyterLab.