Data Scientist

Hoplite Solutions LLC

McLean (VA)

Presencial

USD 150 000 - 190 000

Tempo integral

14 dias+

Uma candidatura completa num minuto

Currículo e carta de apresentação personalizados, prontos a enviar.

Ultrapassa os filtros ATS

Resumo da oferta

Hoplite Solutions LLC seeks a Data Scientist with strong NLP, Python, and SQL expertise to transform structured and unstructured data into actionable insights. The role requires TS/SCI with polygraph and work in McLean, VA, collaborating with data scientists and technical teams to build advanced analytics and ETL processes.

Applicants should have a PhD/JD or Masters with significant experience, strong libraries (Spacy, NLTK, Gensim), deep learning (PyTorch, TensorFlow), and experience with

Qualificações

  • Experience performing NLP tasks including preprocessing and model evaluation.
  • Proficient in Python NLP libraries (Spacy, Gensim, NLTK) for document processing.
  • Experience with deep learning frameworks (PyTorch, TensorFlow, Keras).
  • Experience with HuggingFace Transformers library.
  • Experience building text classification and topic modeling models in Python.
  • Experience with encoder-decoder and generative language models for NLP.
  • Strong communication of methodology and results.
  • SQL proficiency including CTEs, set ops, aggregations, subqueries.
  • Experience with GitHub/Jenkins and GPUs for acceleration.

Responsabilidades

  • Collaborate with data scientists and tech team to implement requirements.
  • Perform advanced NLP analyses using deployed tools.
  • Analyze large raw data including text to drive insights.
  • Preprocess structured and unstructured data including text.
  • Design and implement ETL and table configurations for complex datasets.
  • Use SQL in Oracle database to organize data with analytics.
  • Author publications and produce ad-hoc reports with visualizations.
  • Stay current with enterprise metadata tools.
  • Provide technical education to staff as needed.

Conhecimentos

NLP
Python
SQL
Deep learning frameworks
PyTorch
TensorFlow
Keras
HuggingFace Transformers
Git/GitHub
Jenkins
GPUs for acceleration
Data preprocessing
Data visualization

Formação académica

Bachelor's degree
Master's degree
PhD/JD

Ferramentas

Spacy
Gensim
NLTK
PyTorch
TensorFlow
Keras
HuggingFace
Scikit-learn
SQL
Git
Jenkins

Descrição da oferta de emprego

Hoplite Solutions is seeking aData Scientist to join our team to provide support specializing in natural language(NLP) processing and associated data preparation. The ideal candidate will have experienced SQL and Python skills to transform both structured and unstructured data into clear and concise analytic insights. This position in in Mclean, VA and requires a TS/SCI with polygraph.

Key Responsibilities:
  • Work closely with data scientist and technical team to implement requirements.
  • Conduct sophisticated analysis using deployed tools and natural language processing (NLP).
  • Analyze large amounts of raw data, including text data, to provide business insights.
  • Preprocess or clean structured and unstructured data, including text data.
  • Design and implement advanced ETL code and table configurations for complex data sets.
  • Use Structured Query Language (SQL) in Sponsor’s Oracle database to develop and organize relevant information with supporting analytics.
  • Author analytic publications and produce ad-hoc reports to include data visualization.
  • Stay current with enterprise metadata collection tools.
  • Provide technical education to staff on an ad-hoc basis.
Required Skills
Basic Qualifications
  • Bachelors and nine (9) years or more experience; Masters and seven (7) years or more experience ; PhD or JD and four (4) years or more experience.
  • Demonstrated professional or academic experience performing NLP tasks, including selecting the best Python libraries for a given task, choosing appropriate pre-processing actions, performing analysis, and assessing model performance.
  • Demonstrated professional or academic experience using Python NLP packages such as Spacy, Gensim, or NLTK to analyze or process collections of documents.
  • Demonstrated professional or academic experience with deep learning frameworks such as PyTorch, Tensorflow, or Keras.
  • Demonstrated professional or academic experience with the HuggingFace Transformers library and hub.
  • Demonstrated experience creating machine learning models that conduct text classification and topic modeling in Python using standard machine learning (Scikit-learn) or deep learning models.
  • Demonstrated academic or professional experience using encoder-decoder and generative language models to perform NLP tasks.
  • Demonstrated academic or professional experience communicating methodological choices and model results.
  • Demonstrated professional or academic experience and proficiency with SQL to include using common table expressions, set operations, aggregated functions and nested subqueries.
  • Demonstrated professional or academic experience with version control systems such as Github and Jenkins.
  • Demonstrated experience leveraging GPUs for accelerated computing.
  • Developed practical approaches for measuring performance.
  • Assisted in developing types of measure, the collection of data, analyzing the data, and presenting that data to senior leadership.
  • Conducted advanced statistical analysis on personnel, intelligence, and performance metrics.
  • Assisted in selection or development of appropriate methodology to conduct research.
  • Analyzed information and provide research findings in a manner that is easily grasped by the customer and consumers.
  • TS/SCI with polygraph.
Desired Skills (Optional)
  • Experience writing Python scripts that pull data from web-based APIs and relational databases.
  • Experience with cloud computing development and architecture.
  • Demonstrated experience with front-end web development frameworks such as Flask.
  • Demonstrated experience developing applications for semantic search.
  • Demonstrated experience tuning LLMs on custom data sets and applying results to specific use cases.
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