Data Scientist

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.
• Provide subject matter expertise in natural language processing (NLP).

Qualifications

• Bachelors and fourteen (14) years or more experience; Masters and twelve (12) years or more experience; PhD or JD and nine (9) 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.
• Aided in developing types of measure, the collection of data, analyzing the data, and presenting that data to senior leadership.
• Analyzed information and provide research findings in a manner that is easily grasped by the customer and consumers.

Desired Skills

• Experience writing Python scripts that pull data from web-based APIs and relational databases.
• Demonstrated experience with cloud computing development and architecture.
• Demonstrated experience developing applications for semantic search.
• Demonstrated experience tuning 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.

Target Salary Range

$200,001 - $240,000.