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Kepora

Data Scientist

Natural Language Processing & LLMsUpdated on Nov 12
Full-timeMcLean, VA, USANo salary listedIn-person

About the Job

Requirements

  • Demonstrated professional or academic experience performing natural language processing tasks, including selecting appropriate Python libraries, choosing preprocessing actions, performing analysis, and assessing model performance.
  • Demonstrated professional or academic experience using Python natural language processing packages such as spaCy, Gensim, or NLTK to analyze or process document collections.
  • Demonstrated professional or academic experience with deep learning frameworks such as PyTorch, TensorFlow, or Keras.
  • Demonstrated professional or academic experience with the Hugging Face Transformers library and hub.
  • Demonstrated experience creating machine learning models for text classification and topic modeling in Python using scikit-learn or deep learning models.
  • Demonstrated academic or professional experience using encoder-decoder and generative language models for natural language processing tasks.
  • Demonstrated academic or professional experience communicating methodological choices and model results.
  • Demonstrated professional or academic experience and proficiency with Structured Query Language (SQL), including common table expressions, set operations, aggregate functions, and nested subqueries.
  • Demonstrated professional or academic experience with version control systems such as GitHub and Jenkins.
  • Demonstrated experience leveraging graphics processing units (GPUs) for accelerated computing.
  • Ability to develop practical approaches for measuring performance.
  • Ability to assist in developing types of measures, collecting and analyzing data, and presenting data to senior leadership.
  • Ability to conduct advanced statistical analysis on personnel, intelligence, and performance metrics.
  • Ability to assist in selecting or developing appropriate methodologies to conduct research.
  • Ability to analyze information and present research findings in a way that is easily understood by customers and consumers.

Responsibilities

  • Conduct sophisticated analysis using deployed tools and natural language processing.
  • Analyze large amounts of raw data, including text data, to provide business insights.
  • Preprocess or clean structured and unstructured Sponsor data, including text data.
  • Design and implement advanced extract, transform, load (ETL) code and table configurations for complex data sets.
  • Use Structured Query Language (SQL) in the Sponsor’s Oracle database to develop and organize relevant information with supporting analytics.
  • Independently or with a team, author analytic publications and produce ad-hoc reports, including data visualizations using the Sponsor’s templates.
  • Stay current with the Sponsor’s enterprise metadata collection tools.
  • Implement the Sponsor’s existing coordination process.
  • Provide technical education to staff on an ad-hoc basis.
  • Provide subject matter expertise in natural language processing to support the Sponsor’s initiatives.
  • Work closely with the Sponsor’s data scientists and technical team to implement requirements; priorities are managed by the Sponsor’s GTM.

Desired Qualifications

  • Demonstrated experience writing Python scripts that retrieve data from web-based application programming interfaces (APIs) and relational databases.
  • Demonstrated 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 large language models (LLMs) on custom data sets and applying results to specific use cases.
  • Demonstrated professional or academic experience and proficiency with Tableau to produce visualizations and dashboards.

About the Company

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