- Curate and develop a solid data foundation in coordination with the client - structured and unstructured data
- Process modeling data and perform robust analytics.
- Use online experimentation and other data science methodologies by leveraging Machine Learning (ML), natural language processing, and dynamic network analysis
- Exercise creativity in applying non-traditional approaches to large-scale analysis of unstructured data in support of high-value use cases visualized through multi-dimensional interfaces.
- Handle processing and index requests against high-volume collections of data and high-velocity data streams.
- Minimum of 12 years with BS/BA; Minimum of 10 years with MS/MA; Minimum of 7 years with Ph.D. Will consider HS with 16 years of revelant experience.
- Capable of building Python scripts and packages that will be used by the data analysts. The Python scripts will use supervised and unsupervised ML (both text and image-based machine learning), natural language processing (named entity extraction, summarization, etc.), and network analysis (social network analysis, centrality analysis, dynamic network analysis).
- Must have expertise in maintaining and deploying a notebook-based data science environment (JupyterHub).
- Must have experience in advanced Python data science packages (pandas, networkx, scikit-learn, pyTorch or TensorFlow/Keras, matplotlib or plotly, etc.).
- Requires strong technical and computational skills - engineering, physics, mathematics, coupled with the ability to code design, develop, and deploy sophisticated applications using advanced unstructured and semi-structured data analysis techniques and utilizing high-performance computing environments.
- Has the ability to utilize advance tools and computational skills to interpret, connect, predict and make discoveries in complex data and deliver recommendations for business and analytic decisions.
- Active TS/SCI clearance and Polygraph with the ability to obtain and maintain MEAD SIP clearance.
- Prefer IAM Level I certification.
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Senior Data Scientist - Augusta, United States - Peraton
Description
Responsibilities
Peraton seeks a Senior Data Scientist to support ARCYBER. Location: Fort Eisenhower, GA.
In this role, you will be a part of a team of data engineers and employ statistics, analytics, systems technology, and business intelligence to provide analysis in support of achieve of Army and Joint operational efforts.
Tasks include:
Qualifications
Required:
Preferred:
Peraton offers enhanced benefits to employees working on this critical National Security program, which include heavily subsidized employee benefits coverage for you and your dependents, 25 days of PTO accrued annually up to a generous PTO cap and eligible to participate in an attractive bonus plan.
Peraton Overview
Peraton is a next-generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the world's leading mission capability integrator and transformative enterprise IT provider, we deliver trusted, highly differentiated solutions and technologies to protect our nation and allies. Peraton operates at the critical nexus between traditional and nontraditional threats across all domains: land, sea, space, air, and cyberspace. The company serves as a valued partner to essential government agencies and supports every branch of the U.S. armed forces. Each day, our employees do the can't be done by solving the most daunting challenges facing our customers. Visit to learn how we're keeping people around the world safe and secure.