Data Scientist 3

This Data Scientist position requires compiling various data sources via computer scripting, statistical analysis, data modeling, etc. This position requires being able to develop analytics to show metrics on sensor performance.  PROFORMA/OVH or other RF experience and/or 451/452 is a nice to have.

Required Qualifications

• TS/SCI with Agency Appropriate Polygraph
• A Bachelor’s degree and 10 years of relevant experience
• An Associate’s degree plus 12 years of relevant experience may be considered for individuals with in-depth experience that is clearly related to the position
• Degree must be in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science
• A degree in a related field (e.g., Computer Information Systems, Engineering), a degree in the physical/hard sciences (e.g., physics, chemistry, biology, astronomy), or other science disciplines with a substantial computational component (i.e., behavioral, social, and life) may be considered if it includes a concentration of coursework (typically 5 or more courses) in advanced mathematics (typically 300 level or higher; such as linear algebra, probability and statistics, machine learning) and/or computer science (e.g., algorthms, programming, data structures, data mining, artificial intelligence)
• College-level Algebra or other math courses intended to meet a basic college level requirement, or upper level math courses designated as elementary or basic do not count
• A broader range of degrees will be considered if accompanied by a Certificate in Data Science from an accredited college/university

Required Experience

• Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorthms, programming (skill in at least one high-level language (e.g., Python) and skill in at least one mid-level language (e.g. C)), data mining, advanced statistical analysis (e.g. statistical foundations of machine learning, statistical approaches to missing data, time series), advanced mathematical foundations (e.g. numerical methods, graph theory), artificial intelligence, workflow and reproductibility, data management and curation, data modeling and assessment (e.g. model selection, evaluation, and sensitivity

Wyetech, LLC is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.