A 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.
Requirements
TS/SCI with poly required
- Bachelor's and Master's degree or higher from an accredited college or university in a quantitative discipline (e.g., statistics, mathematics, operations research, engineering or computer science).
- Ten years of experience analyzing datasets and developing analytics, and ten years of experience programming with data analysis software such as R, Python, SAS, or Matlab.
- An additional two years of experience in software development, cloud development, analyzing datasets, or developing descriptive, predictive, and prescriptive analytics can be substituted for a Master's degree.
- A PhD from an accredited college or university in a quantitative discipline can be substituted for four years of experience.
Benefits
- Health amp; Life Insurance
- Dental Insurance
- Disability Insurance
- 401K Retirement Plan with Matching
- Tuition Assistance
- Vacation and Sick Leave
- Hiring Bonuses
- Referral Recruitment Program