Data Scientist 650
Reads like a ML Engineer role: putting models into production.
McLean, VA
- Pay
- Pay not listedSimilar roles state $165K–$240K
- Work setting
- Not stated
- Employment
- Not stated
What you’ll work on
Full postingManipulate high-volume structured and unstructured data to produce analysis and reports
Provide technical targeting analytic support using analytic tools and All-Source data analysis
Run large-scale parallel processing and build methods for clustered computing environments
Conduct advanced statistical analysis on personnel, intelligence, and performance metrics
From the employer’s posting
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.
Conduct advanced statistical analysis on personnel, intelligence, and performance metrics.
What you’ll bring
All qualificationsCore experience
- 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 experience leveraging GPUs for accelerated computing.
Preferred experience
- 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.
Qualification wording
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 experience leveraging GPUs for accelerated computing.
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.
Tools in this posting
- Python
- SQL
- Tableau
- Flask
- Hugging Face
- Keras
- PyTorch
- scikit-learn
- TensorFlow
- Transformers
Source — Tool mentions in context
- 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 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.
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 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 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. What’s in It for You?
- 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 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 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.
Posting record
Report an errorOpen 5 monthsWe first saw this posting 151 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
- Status in our records
- Live
- First seen by us
- Jun 2, 2026 · 151 days ago
- Recorded sightings
- 99
- Last seen by us
- Oct 30, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Your next step
- Have your resume and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the pay range before committing time to the process.
Complete your application on job-boards.greenhouse.io. The employer’s form will show what is required.
Already applied? Track this application
Job description
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.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
McLean, VA
Working pattern and location restrictions need checking in the full posting.
- Work authorization
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.
See how this role fits your experience
Add your resume to compare the role’s scope, tools and requirements with your experience.