C2 Technology Solutions is a small business with a global perspective, offering a complete spectrum of insightful expertise in system and software engineering, architecture design, business process re-engineering, and IT infrastructures. Since 2010, we have provided performance and value-driven consulting services to both government and commercial clients.
The key to C2 Technology Solutions’ success is in its primary asset…People. We understand that our growth is parallel to the growth of every individual on our team. In addition to a small company culture, we offer a competitive compensation package with outstanding benefits and career development opportunities.
Our firm is currently seeking a Data Scientist within the Columbia, MD area. The Data Scientist will be responsible for developing 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. Additional responsibilities include:

• Developing experiments to collect data or models to simulate data when required data are unavailable
• Developing feature vectors for input into machine learning algorithms Identify the most appropriate algorithm for a given dataset and tune input and model parameters
• Evaluating and validating the performance of analytics using standard techniques and metrics (e.g. cross validation, ROC curves, confusion matrices)
• Overseeing the development of individual analytic efforts and guide team in analytic development process
• Guiding analytic development toward solutions that can scale to large datasets
• Partnering with software engineers and cloud developers to develop production analytics
• Developing and training machine learning systems based on statistical analysis of data characteristics to support mission automation
• Producing data visualizations that provide insight into dataset structure and meaning
• Using input from Government subject matter experts (SMEs), 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) and input results into feature vectors suitable for analytic development and testing Translate Government provided qualitative analysis process and goals into quantitative formulations that are coded into software prototypes
• Developing and implementing statistical, machine learning, and heuristic techniques to create descriptive, predictive, and prescriptive analytics
• Developing statistical tests to make data-driven recommendations and decisions

Education/Experience Requirements:

• Bachelor's and Master's degree from an accredited college or university in a quantitative discipline (e.g., statistics, mathematics, operations research, engineering or computer science).
• 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 three years of experience.
• Skills in data grooming and data analytics.
• SQL experience and expert level Excel skills.
• Python skills for data science is great.
• Knowledge in performing data manipulation language (DML) statements against an Oracle database, such as deleting, inserting and updates.