Data Scientist

Key Responsibilities

• 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.
• Professional or academic experience using Python NLP packages such as Spacy, Gensim, or NLTK to analyze or process collections of documents.
• Professional or academic experience with deep learning frameworks such as PyTorch, Tensorflow, or Keras.
• Professional or academic experience with the HuggingFace Transformers library and hub.
• Creating machine learning models that conduct text classification and topic modeling in Python using standard machine learning (Scikit-learn) or deep learning models.
• Academic or professional experience using encoder-decoder and generative language models to perform NLP tasks.
• Academic or professional experience communicating methodological choices and model results.
• Professional or academic experience and proficiency with SQL to include using common table expressions, set operations, aggregated functions and nested subqueries. 
• Professional or academic experience with version control systems such as Github and Jenkins.
• Leveraging GPUs for accelerated computing.
• Developing practical approaches for measuring performance.
• Assisting in developing types of measure, the collection of data, analyzing the data, and presenting that data to senior leadership.
• Conducting advanced statistical analysis on personnel, intelligence, and performance metrics.
• Assisting in selection or development of appropriate methodology to conduct research.
• Analyzing information and provide research findings in a manner that is easily grasped by the customer and consumers.

Highly Desired Qualifications

• Writing Python scripts that pull data from web-based APIs and relational databases.
• Cloud computing development and architecture
• Front-end web development frameworks such as Flask.
• Developing applications for semantic search.
• Tuning LLMs on custom data sets and applying results to specific use cases.
• Professional or academic experience and proficiency with Tableau to produce visualizations and dashboards.

What We Offer You

• Highly Competitive Salary: Recognizing and rewarding your expertise and contributions.
• Generous Paid Time Off: Providing ample time for rest, relaxation, and personal pursuits.
• Dedicated Training Budget: Supporting continuous learning and professional development.
• 100% Employer-Covered Family Vision, Dental, and Health Insurance: Ensuring comprehensive health coverage for you and your family.
• 100% Employer-Covered Life and Disability Insurance: Offering financial security and peace of mind.
• 401(k) Plan with a 6% Employer Match: Helping you plan and save for a secure retirement, with 100% vesting from day one.
• 11 Paid Government Holidays: Observing national holidays to ensure time off with family and friends.
• Spot Bonuses for Exceptional Performance: Rewarding outstanding contributions and achievements.