Data Scientist 650

Freedom Technology Solutions Group is looking for a Data Scientist to apply and enhance their skills with developing, running, and analyzing results of complex queries against massive scale data stores. The candidate will also increase their skills with the following:

Manipulating high-volume structured and unstructured data to perform analysis and generate reporting/products.

Using analytic techniques and tools and All-Source data analysis to provide technical targeting analytic support to the Sponsor Agency.

Performing large scale parallel processing of data, and developing, validating, and using methodologies to support analytic requirements in Clustered Computing environments.

Required Skills:

An active security clearance with polygraph.

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.

Develop practical approaches for measuring performance.

Assist in developing types of measure, the collection of data, analyzing the data, and presenting that data to senior leadership.

Conduct advanced statistical analysis on personnel, intelligence, and performance metrics.

Assist in selection or development of appropriate methodology to conduct research.

Analyze information and provide research findings in a manner that is easily grasped by the customer and consumers.

Desired Skills:

Demonstrated experience writing Python scripts that pull data from web-based 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 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.