Mid-Level NLP Data Scientist [$280k/yr+] TS/SCI-FS Poly

SYSTOLIC, INC.

Herndon, VA, United States

about 1 month ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Experienced

Compensation

$280,000.0

Working hours

Regular working hours

Job source

www.clearancejobs.com

Tech stack

Artificial Intelligence Amazon Web Services Cloud Computing Nvidia CUDA Data Cleansing Data Files Extract Transform Load (ETL) Data Visualization Data Flow Control Python (Programming Language) Machine Learning Language Modeling

+28 more

Natural Language Processing NLTK (NLP Analysis) Oracle Databases Oracle (Applications) Performance Tuning Raw Data Tensorflow SQL Databases Tableau (Software) Unstructured Data Web Services Graphics Processing Unit (GPU) Pytorch Flask (Web Framework) Large Language Models Deep Learning Topic Modeling Generative AI Keras Git HuggingFace Data Analytics Gensim Spacy Document Classification Software Version Control Jenkins Custom Reports

Job description

Perform data-driven business analysis, specializing in natural language processing (NLP) and data preparation.
Transform structured and unstructured data into clear and supported analytic insights.
Design and implement advanced ETL code and table configurations for complex data sets.
Develop and organize relevant information with supporting analytics using SQL in Oracle databases.
Author analytic publications and produce ad-hoc reports, including data visualizations.
Conduct sophisticated analysis using NLP, Python, deep learning frameworks (PyTorch, Tensorflow, Keras), and machine learning models for text classification and topic modeling.
Utilize generative language models, HuggingFace Transformers, and Python NLP packages such as Spacy, Gensim, or NLTK.
Leverage GPUs for accelerated computing.
Work with Git and Jenkins for version control and automation.
Conduct advanced statistical analysis and effectively communicate methodological choices and model results.
Optional skills include cloud computing (AWS), Flask, Tableau for visualizations, and tuning LLMs., * Work closely with data scientists and technical teams to implement requirements.
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 data, including text data.
Design and implement advanced ETL code and table configurations for complex data sets.
Use Structured Query Language (SQL) in Oracle database to develop and organize relevant information with supporting analytics.
Independently, or with a team, author analytic publications and produce ad-hoc reports to include data visualizations.
Stay current with enterprise metadata collection tools.
Implement existing coordination processes.
Provide technical education to staff on an ad-hoc basis.
Provide subject matter expertise in NLP to support initiatives.
Key skills: Fine-tuning, LLM, Model Training, Git, Jenkins/Hudson, Communications/Technical Writing, Data Science, Database Engineering, Requirements Analysis, Data Visualization, Dataflow, Human Language Processing, Machine Learning/Artificial Intelligence, Web Services, CUDA, PyTorch, Tensorflow, Python, SQL, AWS, Oracle.