Job Description
Base-2 Solutions is looking for a Data Scientist 3 who has experience in RCES
funded requirement supporting East Asia Cyber. Focused on workflow improvement
and automation, data aggregation, and custom data analytics.
Education Required
- Bachelor’s degree plus 10 years of relevant experience.
- 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., algorithms, 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.
Training/Certifications Required
- A broader range of degrees will be considered if accompanied by a Certificate
in Data Science from an accredited college/university.
Description of Relevant Experience
- Relevant experience must be in designing/implementing machine learning, data
science, advanced analytical algorithms, 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
reproducibility, data management and curation, data modeling and assessment
(e.g. model selection, evaluation, and sensitivity analysis), experience as a
data scientist working to support a single or multiple domain areas, and/or
software engineering.
- Experience in more than three areas is strongly preferred.
