*** DO NOT APPLY! THIS IS A TEST JOB POSTING
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- 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.
Qualifications / Skills:
- 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
