What are the responsibilities and job description for the Data Scientist (TS/SCI with Full Scope Poly required) – 1691 position at PlacingIT?
Data Scientist (TS/SCI with Full Scope Poly required) – 1691
Location: Fort Meade, MD - Onsite
Relocation assistance: No – sign on bonus possible to offset the costs.
Visa sponsorship eligibility: No
** Skills: TS/SCI with Poly, Data Scientist, R, Python, SAS, or MATLAB, Machine Learning **
Position Responsibilities:
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.
Required Degree and Experience:
Location: Fort Meade, MD - Onsite
Relocation assistance: No – sign on bonus possible to offset the costs.
Visa sponsorship eligibility: No
** Skills: TS/SCI with Poly, Data Scientist, R, Python, SAS, or MATLAB, Machine Learning **
Position Responsibilities:
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.
Required Degree and Experience:
- Bachelor's degree in a quantitative discipline (e.g., statistics, mathematics, operations research, engineering or computer science) 7 years of experience, Masters Degree 5 years of experience, or PhD 2 years of experience
- Bachelor Degree in a quantitative discipline (e.g., statistics, mathematics, operations research, engineering or computer science) 7 years of experience, Masters Degree 5 years of experience, or PhD 2 years of experience
- Active TS/SCI security clearance with the full scope Polygraph required
- Programming experience with data analysis software such as R, Python, SAS, or MATLAB.
- Developed experiments to collect data or models to simulate data when required data are unavailable.
- Developed feature vectors for input into machine learning algorithms.
- Identified the most appropriate algorithm for a given dataset and tune input and model parameters.
- Evaluated and validated the performance of analytics using standard techniques and metrics (e.g. cross validation, ROC curves, confusion matrices).
- Overseen the development of individual analytic efforts and guide team in analytic development process.
- Guide analytic development toward solutions that can scale to 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.
