Job Duties: Perform full life cycle of data analysis including data extraction, data transformation, feature engineering, exploratory data analysis, applying machine learning models and data visualization. Extract data from relational data sources including My SQL server and non-relational databases including Mongo DB; clean the data and look for patterns/trends in the dataset by coding in Python. Apply various machine learning models according to the business needs and recommend to leadership on the findings. Build dashboards to visualize data and generate reports using Grafana/Tableau/Power BI and present meaningful insights to end business users. Use R, Python (pandas, scikitlearn, seborn, NumPy, MatPlotLib, Keras- Pytorch, Tensor flow), MATLAB, C, PL/SQL, MS SQL Server, Oracle, Time series Analysis, Statistical analysis testing, Machine Learning Predictive Data Modeling (logistic/linear regression, SVM, Decision Tree, Gradient boosting), Image Processing. Data analysis, Digital signal processing techniques (time-frequency analysis, spectrum Analysis, Entropy, Higuchi dimension), Windows, UNIX, Windows Exchange and Linux, Minitab, SPSS, DataDog, Grafana, Tableau, Power BI, Dyna Trace, Glass Box, Splunk, Adobe Analytics, MS Office, MS Excel.

Work Location: Various unanticipated work locations throughout the United States; relocation may be required. Must be willing to relocate.

Minimum Requirements:

Education: Master – Computer Science, Electrical Engineering, or Biomedical Engineering

Experience: One (1) year