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Data Scientist

Job in Boston, Suffolk County, Massachusetts, 02298, USA
Listing for: SGS Consulting
Full Time position
Listed on 2026-10-18
Job specializations:
  • IT/Tech
    Machine Learning/ ML Engineer, AI Engineer (Applied/Software), Data Scientist
Salary/Wage Range or Industry Benchmark: 120000 - 180000 USD Yearly USD 120000.00 180000.00 YEAR
Job Description & How to Apply Below
Job 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.
Skills:
  • 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.
  • 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.
Education/

Experience:
  • Master’s degree (or equivalent professional experience) in Computer Science, Math, AI/ML, Data Science, Statistics, Applied Linguistics, or a related field.
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