ME00633-AI/ML Data Scientist 3

Momentum Engineering, Inc.•Annapolis Junction, MD

5d•$185,000 - $215,000•Onsite

About The Position

Seeking an AI/ML Data Scientist to develop machine learning, data mining, statistical and graph-based algorithms to analyze and make sense of datasets. The candidate will build models and develop experiments to generate data when training or sample data sets are unavailable. The candidate will prototype algorithms within production frameworks for integration into analyst workflows.

Requirements

Must have active Top Secret/SCI clearance with NSA Full Scope Polygraph
Must have a Bachelor's Degree (BS) in a quantitative discipline (e.g. statistics, mathematics, operations research, engineering or computer science) from an accredited college/university
Minimum of ten (10) years of experience in two (2) or more of the following: Designing/implementing machine learning, Data mining, Advanced analytical algorithms, Advanced statistical analysis, Artificial intelligence, Software engineering with data analysis software (i.e. R, Python, SAS, MATLAB), Independently creating mission specific and tailored tradecraft automated solutions, Performing data scientist functions that directly align/integrate into to the architecture, Implementing best practices in knowledge management, and/or creating automated solutions
Experience with Python, Jupyter Notebooks, ElasticSearch/Kibana, SQL database

Responsibilities

Produce data visualizations that provide insight into dataset structure and meaning
Work with SMEs to identify important information in raw data and develop scripts that extract this information from a variety of data formats
Oversee the development of individual analytic efforts to guide team in analytic development process and guide development toward solutions that can scale to large datasets
Guide the transition of prototyped analytics to production system that scale to large datasets
Partner with software engineers and cloud developers to develop production analytics
Develop and implement statistical, machine learning, and heuristic techniques to create descriptive, predictive, and prescriptive analytics
Develop feature vectors for input into machine learning algorithms
Evaluate and validate the performance of analytics using standard techniques and metrics (e.g. cross validation, ROC curves, confusion matrices)
Understand emerging pattern recognition algorithms and guide a team of data scientists in integrating state-of-the-art algorithms into solutions