Job Specifications
We're looking for Data Scientist to conduct research and development in NLP and computational linguistics, with a focus on designing robust evaluation metrics, pipelines, and methodologies for large-scale language models.
Responsibilities
Research and develop NLP models, with a focus on linguistic analysis and evaluation.
Design, deploy, and maintain data pipelines to compute NLP evaluation metrics from large-scale, distributed datasets.
Define and implement evaluation metrics for NLP models, ensuring robustness and alignment with linguistic principles.
Define and implement sampling methods for evaluation based on statistics to ensure reliable model assessment.
Develop and assess Large Language Model (LLM) features, ensuring high-quality outputs.
Conduct research in computational linguistics, contributing to top-tier conferences (e.g., ACL, EMNLP).
Write clear and comprehensive technical documentation on methodologies, evaluation frameworks, and findings.
Collaborate with engineers, researchers, and product teams to integrate insights into production systems.
Requirements
Advanced degree (Ph.D. or Master's with strong experience) in Computational Linguistics, NLP, or a related field.
Hands-on experience developing NLP models and implementing scalable data pipelines (e.g., Spark, Hadoop).
Strong background in linguistic analysis, statistical modeling, and NLP evaluation.
Proven track record of publishing research in top NLP conferences.
Experience with LLM development and evaluation.
Excellent technical writing and collaboration skills.
We offer
Opportunity to work on cutting-edge projects
Work with a highly motivated and dedicated team
Competitive salary
Flexible schedule
Benefits package - medical insurance, vision, dental, etc.
Corporate social events
Professional development opportunities
Well-equipped office
About Us
Grid Dynamics (NASDAQ: GDYN) is a leading provider of technology consulting, platform and product engineering, AI, and advanced analytics services. Fusing technical vision with business acumen, we solve the most pressing technical challenges and enable positive business outcomes for enterprise companies undergoing business transformation. A key differentiator for Grid Dynamics is our 8 years of experience and leadership in enterprise AI, supported by profound expertise and ongoing investment in data, analytics, cloud & DevOps, application modernization and customer experience. Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the Americas, Europe, and India.
About the Company
Grid Dynamics empowers enterprise-scale companies to drive revenue growth, boost efficiency, and maximize the impact of their digital modernization initiatives.
Our clients span diverse industry verticals such as Retail, Manufacturing and CPG, Insurance, Wealth Management, Banking and Payments, Pharma and Life Sciences, and High-tech. We co-innovate with clients to help them solve complex business challenges and uncover new revenue streams through our technology consulting, platform and product engineering, AI, and advance...
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