As a Data Scientist Level 3, you will devise strategies for extracting meaning and value from large datasets, communicate principled conclusions from data, and develop and implement qualitative and quantitative methods for characterizing and assessing large datasets. You will also effectively communicate complex technical information to non-technical audiences and make informed recommendations regarding competing technical solutions.
Requirements
- US Citizens Only
- Active TS/SCI Clearance and Polygraph required
- Information Assurance Certification may be required
- Minimum of ten (10) years of relevant experience and a Bachelor’s degree or twelve (12) years of relevant experience and an Associate’s degree required
- Degree must be in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science
- A broader range of degrees will be considered if accompanied by a Certificate in Data Science from an accredited college/university
- Relevant experience must be two of more of the following:
- 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
- Software engineering
Benefits
- medical insurance
- life insurance
- disability
- paid time off
- maternity/paternity leave
- 401(k) company match
- training/education reimbursements
- other work/life programs