Senior Data Scientist — TS/SCI w/ Poly, ML & NLP

Shield Consulting Solutions, Inc.

Maryland

Presencial

USD 200 000 - 250 000

Tempo integral

Há 2 dias
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Currículo e carta de apresentação personalizados, prontos a enviar.

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Vantagens oferecidas por esta oferta de emprego

PTO 25 days
11 paid holidays
Employer-paid healthcare
401(k) employer match

Resumo da oferta

Shield Consulting Solutions, Inc. is seeking a data scientist with TS/SCI w/Polygraph clearance to develop machine learning, analytics, and data mining solutions.

The role involves prototyping algorithms, generating reports, and visualizations to provide customers with data-driven insights while coordinating with SMEs to automate analytics. The position emphasizes production integration, model development, and evaluation using standard metrics, with a strong focus on statistical and heuristic

Qualificações

  • Five years of analytics and data analysis programming experience.
  • Experience producing data visualizations to reveal dataset structure and insight.
  • Collaboration with SMEs to extract information from raw data and build feature vectors.

Responsabilidades

  • Develop AI and machine learning models to address complex problems.
  • Develop and optimize Large Language Models for NLP tasks and information retrieval.
  • Oversee analytic development and guide the analytics team through the process.

Conhecimentos

Data analysis
Machine learning
Statistical modeling
Team guidance

Formação académica

Bachelor's degree in quantitative discipline
PhD substituted for four years experience

Ferramentas

R
Python
SAS
MATLAB

Descrição da oferta de emprego

Shield Consulting Solutions, Inc. is seeking a data scientist with TS/SCI w/Polygraph clearance to develop machine learning, analytics, and data mining solutions.

The role involves prototyping algorithms, generating reports, and visualizations to provide customers with data-driven insights while coordinating with SMEs to automate analytics. The position emphasizes production integration, model development, and evaluation using standard metrics, with a strong focus on statistical and heuristic

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