Requires TS/SCI with Poly ClearanceA 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 SkillsThe Data Scientist will support and contribute to the ever-growing complexity behind the data our customer analytics ingest. The Data Scientist will be able to analyze and provide insight in new and existing data sets; these insights will allow the customer to better implement and optimize analytic suites. The customer has plans to expand their analytic capabilities to utilize AI/ML along with graph-based technologies and frameworks.
- Bachelor's degree or higher from an accredited college or university in a quantitative discipline (e.g., statistics, mathematics, operations research, engineering or computer science).
- A minimum of ten (10) years of experience in two (2) or more of the following: designing/implementing machine learning, data mining, advanced analytical algorithms, advanced statistical analysis, artificial intelligence, or software engineering with data analysis software such as R, Python, SAS, or MATLAB.
- An additional four (4) years of experience in software development, cloud development, analyzing datasets, or developing descriptive, predictive, and prescriptive analytics can be substituted for a Bachelor's degree.
- A Master's Degree from an accredited college or university in a quantitative discipline can be substituted for two (2) years of experience for a total of eight (8) years of experience required. A Doctoral Degree from an accredited college or university in a quantitative discipline can be substituted for four (4) years of experience for a total of six (6) years of experience required.
Benefits: - Generous and competitive paid time off, scaled based on time in service, plus eleven paid annual holidays.
- CyberTrend pays 100% of the cost for the following benefits for its full-time employees: including medical (base plan), dental, vision, disability, life, EAP, and more.
- CyberTrend contributes 10% of your monthly gross salary to a SEP-IRA account. This retirement plan is non-contributory for the employee, has no vesting period, and is 100% owned and managed by the employee.
- Educational assistance up to $5,250 annually for work-related acitivies upon prior approval
- Training assistance up to $3,000 annually for work-related activities upon prior approval
Recruiting Team
CyberTrend Engineering, LLC
recruitment@cybertrendeng.com
