Data Scientist

Data Scientists Location: Lexington, MA Clearance: Secret Type: 3 yrs contract This is a hybrid position. Key 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 deliver end-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.

Minimum Qualifications: • 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.

Preferred Qualifications: • 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

An interim clearance is sufficient for the start of this position. Onsite Requirement: This position is HYBRID. The individual will be required to be onsite 3 days a week. Candidates are expected to be local at the time of the start of the assignment. Final scheduled TBD by hiring manager. EEO Employer LanceSoft is a certified Minority Business Enterprise (MBE) and an equal opportunity employer. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws. This policy applies to all employment practices within our organization, including hiring, recruiting, promotion, termination, layoff, recall, leave of absence, compensation, benefits, training, and apprenticeship. LanceSoft makes hiring decisions based solely on qualifications, merit, and business needs at the time. LanceSoft