Data Scientist 2
Annapolis Junction, Maryland
Full Time Mid-level / Intermediate Clearance required USD 93K - 166K *
Wyetech
Wyetech is a computer engineering services company that is dedicated to providing high quality talent to solve our nation’s toughest problems. At Wyetech, we offer years of experience providing software services and solutions specializing in...Employ some combination (2 or more) of the following skill areas:I. Foundations: (Mathematical, Computational, Statistical) 2. Data Processing: (Data management and curation, data description and visualization, workflow and reproducibility)3. Modeling, Inference, and Prediction: (Data modeling and assessment, domain-specific considerations)
Required Qualifications
- TS/SCI with Agency Appropriate Polygraph
- Bachelor’s Degree with 3 years of relevant experience
- Associates degree with 5 years of relevant experience
- Bachelor's Degree must be in Mathematics, Applied Mathematics Statistics, Applied Statistics, Machine learning, Data Science, Operations Research, or Computer Science or a degree in a related field (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, or life) may be considered if it included a concentration of coursework (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 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 Technical Skills
- 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)), statistical analysis (e.g. variability, sampling error, inference, hypothesis testing, EDA, application of linear models), data management (e.g. data cleaning and transformation), data mining, data modeling and assessment, artificial intelligence, and/or software engineering. Experience in more than one area is strongly preferred
- Midpoint data - Data manipulation and visualization
- Python scripting to run and update current scripts
- Abacus/Kibana experience if possible
- understanding of customer databases & how to get data
- Ghostmachine/ linux familiarity / systems Admin background is a nice to have
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Biology Chemistry Computer Science Data management Data Mining EDA Engineering Kibana Linear algebra Linux Machine Learning Mathematics Physics Python Research Statistics Testing
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