Data Scientist

• Coordinates research and analytic activities utilizing various data points (unstructured and structured) and employ programming to clean, massage, and organize the data.
• Experiments against data points, provide information based on experiment results and provide previously undiscovered solutions to command data challenges.
• Lead data experiments tasked by the Data Science Team.
• Coordinates with Data Engineers to build data environments providing data identified by Data Analysts, Data Integrators, Knowledge Managers, and Intel Analysts.
• Develop and implement statistical models.
• Work with Machine Learning engineering team to implement model.
• Analyzes problems and determines root causes.
• Helps identify company data assets and assists in defining data models.
• Works closely with all business units and engineering teams to develop strategy for long term data platform architecture.

• Machine learning, regression analysis, statistical testing
• Feature engineering and data cleansing
• Advanced analytical knowledge of data
• Conducting big data analysis
• Data conditioning
• Programming advanced computing
• Developing algorithms
• Developing software and data models
• Executing predictive analytics

Education, Experience, and Licensing Requirements:

• 5+ years of professional experience
• Proficient with one or more programming languages (Python, R, Java, C++, etc.)
• Experience working with TensorFlow, SciKit Learn, NumPy, SciPy
• Experience working with NLP and BERT
• Experience implementing deep learning
• Specific examples using LSTM, RNN, and SVM a plus
• Git experience and Kubernetes a plus
• Experience working in AWS or Azure
• Demonstrated experience applying data science methods
• Experience implementing agile approach to artificial intelligence algorithm development