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IBM

Data & Analytics Data Scientist-Machine Learning (TS/SCI + Full Scope Poly) Prof

IBM, Chantilly, Virginia, United States, 22021


IntroductionA career in IBM Consulting is rooted by long-term relationships and close collaboration with clients across the globe.

You'll work with visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio; including Software and Red Hat.

Curiosity and a constant quest for knowledge serve as the foundation to success in IBM Consulting. In your role, you'll be encouraged to challenge the norm, investigate ideas outside of your role, and come up with creative solutions resulting in groundbreaking impact for a wide network of clients. Our culture of evolution and empathy centers on long-term career growth and development opportunities in an environment that embraces your unique skills and experience.

Your Role and ResponsibilitiesSeeking a talented, versatile data scientist with Top Secret US Government security clearance to join a fast-paced team working on cutting-edge technologies and use cases. The data scientist will be part of a small agile team building a big data pipeline, AI/ML-based analytics capabilities, and user interfaces for government customers.

This project includes highly innovative work focused on leveraging AI/ML to discover patterns and develop insights across multiple data types to include network IP, cellular, and 5G data, video, imagery and audio data, and others. Work is conducted in conjunction with world-renowned scientists and engineers at IBM Research. The team is fast-paced, collaborative, and cohesive, and depends on team members to communicate openly and to design solutions and deliver quality models on a regular, aggressive clip. Innovative application of advanced data science techniques is highly valued as the team regularly confronts novel challenges and use cases.

The data scientist will design, develop, integrate, test, and deploy models using a combination of custom, open source, and off-the-shelf (GOTS/COTS) software packages and a variety of data types (structured, unstructured, non-text).

Required Technical and Professional Expertise

US Citizen with TS/SCI security clearance and Full-Scope Polygraph.Experience with machine learning including model development, evaluation, and optimization using tools and packages such as: sklearn, NumPy, PyTorch, or TensorFlow.Experience in Machine Learning to include: feature extraction statistical approaches, linear and non-linear classifiers, and deep learning.Experience in programming skills to include: Python and Jupyter Notebook.Ability to apply, evaluate, and modify machine learning algorithms against various data sources and use cases.

Preferred Technical and Professional Expertise

Experience working with Agile software development teams.Interest in national security.

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