This role designs and develops methods, processes, and systems to consolidate and analyze big data in both structured and unstructured formats. It develops and uses advanced data science algorithms and query techniques to model complex business problems and to automate the cleansing, integration, and analysis of datasets for mission needs. It actively engages with mission users, analyzing requirements and evaluating new data science-oriented technologies for capabilities to include Natural Language Processing, Machine Learning, predictive modeling, statistical analysis, and hypothesis testing. Further, it works closely with users to develop and prototype new data science capabilities prior to enterprise adoption. It supports mission users by providing statistical knowledge in analyzing and interpreting ad hoc queries. Telework is possible, but varies on project. Basic Qualifications:
- Experience applying expert domain knowledge of data science algorithms, techniques, and methodologies.
- Masters degree in Computer Science, Mathematics, or Statistics
- 5 years experience with Python, R, or another scientific programming language.
- Expert knowledge in one or more data science libraries such as scikit-learn, TensorFlow, PyTorch, etc.
- Experience negotiating complex scenarios and challenges and devising courses of action to resolve situations with predictable outcomes.
- Experience leading critical objectives where decision making is of utmost concern to the outcome.
- Experience supervising mid-level data scientists and developers. Preferred Skills:
- Experience with AWS/C2S services Candidate must have MS with 15-20 years of prior relevant experience or Doctorate with 13-16 years of prior relevant experience Candidate must have an active TS/SCI with polygraph.