Data Scientist

• Conduct sophisticated analysis using deployed tools and natural language processing. 

• Analyze large amounts of raw data, including text data, to provide business insights. 

• Clean structured and unstructured Sponsor 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. 

• Independently, or with a team, author analytic publications and produce ad-hoc reports to include data visualizations using the Sponsor’s templates. 

• Implement the Sponsor’s existing coordination process.  

• Provide technical education to staff on an ad-hoc basis. 

• Provide subject matter expertise in NLP to support Sponsor’s initiatives  

Required Qualifications:   

• 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  

Desired Qualifications

• 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. 

• The expected salary range within the Washington, DC metropolitan area is: $190,000 - $225,000. Final compensation is unique to each individual and will be determined based on factors such as experience, education, geographic location, and contractual requirements. This is not a guarantee.
• Benefits include Health/Dental/Vision, 401(k), Paid Time Off, STD/LTD/Life Insurance/Voluntary Life Insurance, Stipends, Referral Bonuses, and more.

BCore is proud to be an equal opportunity workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, sexual orientation or any other characteristic protected by law.