Job Description

Experience level: Mid-senior

Experience required: 8 Years 

Education level: Bachelors degree 

Job function: Information Technology 

Industry: Defense & Space 

Total position: 1 

Relocation assistance: No 

Visa sponsorship eligibility: No

Clearance Required: TS/SCI with Full Scope Poly

This position is for a government subcontractor.

This position requires US Citizenship.

Max salary is $185k

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

Required Skills:

• 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 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.

Salary and Benefit Information: Salary will be set based on experience, geographic location and contractual requirements, which could possibly fall outside of this range.Our organization values continuous learning, a supportive work environment, and a healthy work-life balance. We provide family health, dental, and vision benefits, employer-paid disability, paid-time off, and paid parental leave. We offer a 401(k) plan with employer contribution as well as an Employee Stock Option Plan (ESOP). Our employees enjoy reasonable hours, solid pay, low travel, and extremely flexible time off

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