Data Scientist in McLean, Virginia at GRVTY

What Impact You'll Have

GRVTY is a member of 100% of the winning teams for the largest technology program in the Intel Community. We've been supporting this customer on many different sub-projects of this program since our founding in 2013. We've grown on this effort by providing the customer with Engineers who have done exceptional work, and we've retained our staff by paying very strong salaries, and working hard to ensure each Engineer is doing work that aligns with their career interest. Work on this program takes place in McLean, VA and in various field offices throughout Northern VA (we cannot support remote work), and requires a TS/SCI + Polygraph clearance (acceptable to this customer).

GRVTY is seeking a Data Scientist with a TS/SCI + Poly clearance (acceptable to this customer) to join one of our top projects in McLean, VA. The Sponsor provides data-driven business analysis to support senior organizational leaders. As such, the Data Scientist will provide support specializing in natural language processing (NLP) and associated data preparation to help identify challenges and opportunities for the Sponsors customers. The Data Scientist must also be experienced in areas of SQL and Python to be able to transform the Sponsors structured and unstructured data into clear and supported analytic insights to help customers with decision making related to production, resources and personnel. The work may be performed independently or within a team environment.

What You'll be Owning

• Working closely with the Sponsors data scientists and technical team to implement requirements; however, the Sponsors GTM will manage the priorities
• Conducting sophisticated analysis using deployed tools and natural language processing
• Analyzing large amounts of raw data, including text data, to provide business insights
• Pre-processing and/or cleaning structured and unstructured Sponsor data, including text data
• Designing and implementing advanced ETL code and table configurations for complex data sets
• Using Structured Query Language (SQL) in Sponsors Oracle database to develop and organize relevant information with supporting analytics
• Independently, or with a team, authoring analytic publications and produce ad-hoc reports to include data visualizations using the Sponsors templates
• Staying current with the Sponsors enterprise metadata collection tools
• Implementing the Sponsors existing coordination process
• Providing technical education and subject matter expertise in NLP to support Sponsors initiatives to staff on an ad-hoc basis

What You Must Have

• Active TS/SCI with Polygraph Clearance (acceptable to this customer)
• 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

What Would be Nice to Have

• 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

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