Manager-Data Scientist

JOB DESCRIPTION Position Overview We are seeking a skilled Data Scientist with a focus on Natural Language Processing (NLP) to join our team. The ideal candidate brings 3+ years of hands-on experience working with text data, building NLP models, and developing production-ready machine learning solutions. This role will focus on analyzing unstructured data, designing and implementing NLP models, and collaborating with engineering teams to deploy scalable solutions. Please note: United States citizenship is a requirement for this position. This position requires a Public Trust security eligibility determination post-hire. JOB RESPONSIBILITIES · Conduct detailed exploratory data analysis (EDA) on structured and unstructured text datasets to derive insights and inform model development. · Design, build, and evaluate models for a variety of NLP tasks, including: o Text classification o Named entity recognition (NER) o Information extraction from unstructured documents · Develop and refine regular expressions, traditional NLP pipelines, and transformer-based models to support business use cases. · Write high-quality, production-grade Python code, following best practices for scalability, testing, and maintainability. · Apply Generative AI techniques and prompt engineering to enhance automation and downstream applications. · Collaborate closely with machine learning engineering teams to deploy, monitor, and optimize NLP solutions in production. · Utilize cloud technologies such as Azure or AWS to build, train, and manage ML workloads. JOB QUALIFICATIONS · United States citizenship (required). · 3+ years of experience in data science, with significant focus on NLP. · Demonstrated expertise in text-based EDA, NLP model development, and working with unstructured data. · Strong proficiency in Python and NLP/ML libraries (e.g., spaCy, NLTK, Hugging Face Transformers, scikit-learn). · Hands-on experience with Generative AI models and prompt engineering. · Strong understanding of machine learning fundamentals, model evaluation, and experiment design. · Ability to translate business needs into technical solutions and communicate complex concepts effectively.  Preferred Qualifications · Experience deploying NLP solutions in production environments in partnership with ML engineering teams. · Hands-on experience with cloud platforms, including Microsoft Azure or Amazon Web Services (AWS). · Familiarity with CI/CD workflows, containerization (e.g., Docker), or distributed computing frameworks.