SUMMARY

CTC Group is seeking Data Scientists, levels 1-2, for a contingent program to develop machine learning, data mining, statistical and graph-based algorithms to analyze and make sense of datasets.
Locations: Annapolis Junction / Ft. Meade

REQUIREMENTS

• Active TS/SCI with polygraph security clearance

LEVEL 1 QUALIFICATIONS

• Eight (8) years of relevant experience analyzing datasets and developing analytics.
• Two (2) years of relevant experience programming with data analysis software such as R, Python, SAS, or MATLAB.
• OR: A Bachelor’s degree in a relevant discipline (e.g., statistics, mathematics, operations research, engineering, or computer science) from an accredited college or university plus four (4) years of experience.
• Two (2) years of relevant experience programming with data analysis software.
• OR: A Master’s degree in relevant discipline (e.g., statistics, mathematics, operations research, engineering, or computer science) from an accredited college or university.
• One (1) years of relevant experience programming with data analysis software.

LEVEL 2 QUALIFICATIONS

• Twelve (12) years of relevant experience analyzing datasets and developing analytics.
• Nine (9) years of relevant experience programming with data analysis software such as R, Python, SAS, or MATLAB.
• OR: A Bachelor’s degree in a relevant discipline (e.g., statistics, mathematics, operations research, engineering, or computer science) from an accredited college or university plus eight (8) years of experience.
• Five (5) years of relevant experience programming with data analysis software.
• OR: A Master’s degree in relevant discipline (e.g., statistics, mathematics, operations research, engineering, or computer science) from an accredited college or university plus six (6) years of experience.
• Three (3) years of relevant experience programming with data analysis software
• OR: A PhD in relevant discipline (e.g., statistics, mathematics, operations research, engineering, or computer science) from an accredited college or university plus four (4) years of experience.
• One (1) year of relevant experience programming with data analysis software.

• Produce data visualizations that provide insight into dataset structure and meaning.
• Collaborate with subject matters experts (SMEs) to identify important information in raw data and develop scripts that extract this information from a variety of data formats (e.g., SQL tables, structured metadata, network logs).
• Incorporate SME input into feature vectors suitable for analytic development and testing.
• Translate customer qualitative analysis process and goals into quantitative formulations that are coded into software prototypes.
• Develop and implement statistical, machine learning, and heuristic techniques to create descriptive, predictive, and prescriptive analytics.
• Develop statistical tests to make data-driven recommendations and decisions.
• 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).
• Evaluate individual analytic efforts and make recommendations in the analytic development process.
• Recommend solutions that can scale to large datasets.
• Collaborate with software engineers, cloud developers, and appropriate stakeholders to develop production analytics.
• Develop and train machine learning systems based on statistical analysis of data characteristics to support mission automation