Position: Data Scientist
Location: Greater Boston, MA (Hybrid – 2 to 3 days onsite)
Length: 3+ years
*W2 Candidates Only, No C2C, USC
Job Description:
Our client is seeking a Data Scientist with a deep interest in Natural Language Processing (NLP), generative AI, and machine learning. This position offers a unique opportunity to work on impactful projects aimed at advancing foreign language proficiency assessments through state-of-the-art AI techniques. You’ll join a multidisciplinary team committed to delivering intelligent high-performing solutions. This is your chance to play a key role in the development of AI models and systems that power the next generation of educational tools and technologies—all while keeping pace with a rapidly evolving technical landscape.
Essential Duties and Responsibilities:
* Develop and optimize generative AI models tailored to language proficiency testing and educational use cases.
* Apply advanced NLP techniques, including large language model (LLM) fine-tuning, natural language understanding, and automated content generation.
* Build scalable, high-performance data pipelines and algorithms to process large volumes of structured and unstructured text data.
* Work closely with cross-functional teams of software engineers, data scientists, and subject matter experts to deliver complete, production-ready AI solutions.
* Conduct research on emerging methodologies in generative AI and NLP; continuously evaluate and adopt new tools and practices.
* Clearly communicate technical findings to a range of stakeholders, both technical and non-technical.
Qualifications:
* Master’s degree (or equivalent industry experience) in Computer Science, AI/ML, Data Science, Statistics, Applied Linguistics, or a related field.
* Strong proficiency in Python and experience developing algorithms for AI/ML workflows.
* Solid foundation in NLP, machine learning, and generative AI, supported by coursework, research, or applied projects.
* Experience working with large-scale text data, including cleaning, preparation, modeling, and visualization.
* Familiarity with High-Performance Computing (HPC) environments and the complexities of large-scale model development.
* Experience using deep learning frameworks (i.e., TensorFlow, PyTorch) to build and train language-based AI systems is preferred.
* Knowledge of responsible AI practices, including model interpretability, bias mitigation, and ethical deployment is advantageous.
* Familiarity with collaborative software development practices, including Git and open-source contribution is a plus.
* Curiosity and enthusiasm for exploring innovative AI applications in education and language learning is a bonus!
* Due to the nature of the work, an Interim clearance is required, however the candidate will need to obtain a Secret clearance (active Secret clearance is a plus).
Selected candidate will be subject to a post offer background check and must be able to maintain a Secret-level DoD security clearance. Digital Prospectors is an Equal Employment Opportunity (EEO) employer. All qualified applicants will receive consideration and will not be discriminated against on the basis of race, color, relegation, sex, sexual orientation, gender identity, national origin, age, veteran status, disability status, or genetic information; US citizenship is required. Digital Prospectors affirms the right of all individuals to equal opportunity and prohibits any form of discrimination or harassment.
Make this your next career move as one of our many long-term contractors or employees!
* Work as our full-time employee with full benefits (Medical, Dental, Vision, Life, STD, LTD, PTO, etc.) - OR - work as a W2 hourly contractor at a higher pay rate if you don't need the benefit package.
Come see why DPC has achieved:
* 4.9/5 Star Glassdoor rating and the only staffing company (< 1000 employees) to be voted in the national Top 10 ‘Employee’s Choice - Best Places to Work’ by Glassdoor.
* Voted ‘Best Staffing Firm to Temp/Contract For’ seven times by Staffing Industry Analysts as well as a ‘Best Company to Work For’ by Forbes, Fortune and Inc. magazine.
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Job #17719
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