Cornerstone Defense has an immediate opening on the team for a motivated Data Scientist. The Data Scientist will help us expand our insider threat capabilities to include more predictive analytics and data science capabilities. The successful candidate will help define the shape of this endeavor while working directly with our Insider Threat Program team members. The data scientist will identify data sources, perform exploratory data analysis, develop data models and improve the visualization of data sets to provide new user behavior insight. Additionally, the data scientist will develop and execute a strategy based on customer requirements that leads to effective and efficient insider threat detection.
Core hours are 8 AM – 4 PM EST with flexibility on either end. Ad hoc support is required as needed for requests that fall outside this core window.
Responsibility:
The Data Scientist will be part of a team within the customer space in support of their Insider Threat Program. The candidate will have hybrid experience in software development and data science. The Data Scientist's role would be to insert data science expertise into our team leveraging machine learning and advanced analytics to solve complex problems.
Participates in the research, design and development systems software, software applications and/or tools for new programs and subprograms
Identify and make enhancements, modifications, and corrections to existing software and/or data model
Identify new machine learning and advanced analytics methodologies based on available data sets, and implement dynamic models/algorithms
Collaborate with Insider Threat analytic personnel to understand their mission needs, and identify forward thinking data science approaches for operationalization
Participates as a Subject Matter Expert in internal review of software components and systems utilizing machine learning
Participates in collaboration activities with senior management and leadership within the customer space
Assist in the design, development, testing, and validation of multiple modeling design concepts to include but not limited to statistical, mathematical, and simulation models
Apply agile software development methodologies such as Scrum in the performance of tasks
Minimum Qualifications:
5+ years of experience with machine learning
5+ years of experience with standard data science tool-sets
A strong computational mathematics background
A strong understanding of SQL and NoSQL databases
Python and/or Javascript experience
Capable of working on complex problems of diverse scope or situations or data that requires in-depth evaluation of variable factors
Exercises judgment in selecting methods, techniques and evaluation criteria for obtaining results
Detailed and very strong knowledge of technology trends and champions new ideas and product and process improvements
Very strong ability to excel at the development of new theories and methods
Very strong awareness of business objectives and Engineering's role in achieving
Very strong ability to be creative, innovative and responsible, and able to master advanced decision-making skills
Very strong ability to grasp and apply new information quickly
Shows initiative on assignments, and professionally executes projects as a technical SME with little or no direction
Very strong ability to be a team player who thrives in collaborative environments and revels in team success, meeting and exceeding personal and team commitments
Very strong written and verbal communications skills
Very strong ability to recognize and clearly report relevant information
Qualifications:
Bachelor's degree in Engineering, or a related Science or Mathematics field, plus 8 years or Master's degree plus 6 years.
