Data Scientist

ONLY US CITIZEN "DEFENSE CLIENT" Position Title: Data Scientist Location: Lexington, MA USA Duration: 03 years Contract on W2 (Possible Extension) DESCRIPTION Designs, develops, and implements methods, processes, and systems to consolidate and analyze diverse data sets including structured and unstructured. Develops software programs, algorithms, dashboards, information tools, and queries to clean, model, integrate and evaluate datasets. Keeps abreast of new analytic methodologies and technologies. Collaborates with functional business units to drive business solutions and direction. DUTIES AND RESPONSIBILITIES: • Develop and optimize state-of-the-art generative AI models for foreign language proficiency testing and education tasks. Use and extend state of the art NLP techniques including large language model fine-tuning, natural language understanding, and content generation. • Design and implement scalable algorithms and pipelines to handle extensive text datasets in high-performance computing (HPC)environments. • Collaborate with software engineers, data scientists, and domain experts to delivered-to-end AI solutions for a variety of text-centric applications. • Conduct research on novel methodologies, staying current with emerging trends in machine learning, generative AI, and NLP. • Present technical findings to both expert and non-expert audiences, providing clear explanations of complex concepts and proposed solutions. • KNOWLEDGE, REQUIRED SKILLS, COMPETENCIES AND EXPERIENCE: • Master’s degree (or equivalent professional experience) in Computer Science, Math, AI/ML, Data Science, Statistics, Applied Linguistics, or a related field. • Proficiency in Python, with demonstrable experience developing and implementing algorithms for AI/ML workflows. • Strong background in natural language processing, machine learning, and generative AI, with a portfolio of relevant coursework, publications, or project work. • Hands-on experience with data science pipelines, including data cleaning, preparation, and visualization, for large-scale text corpora. • Familiarity with high-performance computing (e.g., supercomputers, clusters, or cloud infrastructure) and the associated challenges of large-scale AI model development. NICE TO HAVE • Experience with deep learning frameworks for building and training complex human language technology systems. • Familiarity with responsible AI principles, model interpretability, and ethical considerations in large language model deployment. • Proven experience collaborating on shared code repositories (e.g., Git), contributing to communal software projects or technical communities. • Enthusiasm for learning new technologies and exploring innovative applications of generative AI. • (Bonus) Demonstrated interest in learning foreign languages