Data Scientist
2 weeks ago
The Data Scientist will develop machine learning, data mining, statistical and graph-based algorithms to analyze and make sense of datasets. Prototype or consider several algorithms and decide upon final model based on suitable performance metrics. Build models or develop experiments to generate data when training or example datasets are unavailable. Generate reports and visualizations that summarize datasets and provide data-driven insights to customers; partner with subject matter experts to translate manual data analysis into automated analytics. Implement prototype algorithms within production frameworks for integration into analyst workflows. This position is Onsite and not open for Remote.
Data Scientist Qualifications:
- Bachelor's degree in quantitative disciplines (e.g., statistics, mathematics, operations research, engineering or computer science) plus 7 years of experience or a master's degree plus 5 years of experience or a PhD plus 2 years of experience.
- Programming experience with data analysis software such as R, Python, SAS, or MATLAB.
- Develop experiments to collect data or models to simulate data when required data are unavailable.
- Develop feature vectors for input into machine learning algorithms.
- Identify the most appropriate algorithm for a given dataset and tune input and model parameters.
- Evaluate and validate the performance of analytics using standard techniques and metrics (e.g. cross validation, ROC curves, confusion matrices).
- Oversee the development of individual analytic efforts and guide team in analytic development process.
- Guide analytic development toward solutions that can scale large datasets.
- Partner with software engineers and cloud developers to develop production analytics.
- Develop and train machine learning systems based on statistical analysis of data characteristics to support mission automation.
Benefits include family health, dental, and vision benefits, employer-paid disability, paid-time off, and paid parental leave, 401(k) plan with employer contribution as well as an Employee Stock Option Plan (ESOP), reasonable hours, solid pay, low travel, and extremely flexible time off.
Keywords: Fort Meade MD Jobs, Data Scientist, Quantitative, Statistics, Mathematics, R, Python, SAS, MATLAB, Machine Learning, Datasets, Maryland Recruiters, IT Jobs, Maryland Recruiting
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