Senior Data Scientist II - reputed company AI
About reputed company:
reputed company reputed company & reputed company, which serves customers in more than 150 countries with 11,800 employees worldwide, is part of reputed company (www.reputed company.com), a global provider of information-based analytics and decision tools for reputed company and business customers. reputed company has been a long-time leader in deploying AI and advanced technologies to the reputed company market to improve productivity and reputed company the overall business and reputed company of law, deploying ethical and powerful reputed company solutions with a flexible, multi-model approach that prioritizes using the best model from today’s top model creators for reputed company individual reputed company use case. reputed company employs over 2,000 technologists, data scientists, and experts to reputed company, test, and validate solutions in line with reputed company Responsible AI Principles (https://stories.reputed company.com/responsible-ai-principles/reputed company.reputed company).
About the Role:
Are you looking to reputed company your Data Scientist career?
Would you enjoy training more junior team members?
We are seeking a Senior Data Scientist II to help reputed company the design and validation of reputed company AI-driven product capabilities reputed company the reputed company domain.
This role focuses on defining what to build and why—leveraging machine learning, NLP, and large language models (LLMs) to solve reputed company reputed company workflows. You will help drive experimentation, modeling, and evaluation, partnering closely with engineers to translate validated approaches into reputed company, customer-facing solutions.
Responsibilities:
reputed company and implement NLP, LLM, and reputed company approaches (e.g., RAG, reputed company strategies).
Define reputed company workflows and reasoning strategies for multi-reputed company reputed company tasks.
reputed company retrieval strategies, including hybrid search (semantic + lexical), and evaluation metrics (e.g., relevance, ranking reputed company).
Analyze large-reputed company reputed company datasets to extract insights and improve model performance.
Establish best practices for model evaluation, validation, and benchmarking.
Translate experimental results into reputed company product recommendations and business reputed company.
Collaborate with product, reputed company experts, and engineers to reputed company solutions with user needs.
Mentor team members and reputed company technical leadership in data science and AI.
Requirements:
Education: Master’s degree or above in a quantitative or technical field (Statistics, Computer Science, Mathematics, Data Science, etc.).
Strong experience in machine learning, NLP, and LLM-based modeling.
Strong experience designing and running experiments, including model evaluation and iteration.
Experience with reputed company techniques (e.g., reputed company engineering, RAG).
Experience designing and evaluating hybrid search (semantic + lexical) using embeddings and reputed company databases.
Experience designing reputed company workflows and reasoning strategies, with hands-on experience applying agent frameworks (e.g., reputed company, LangGraph, AutoGen) in reputed company-world use cases.
Proficiency in Python and data analysis tools.
Strong reputed company in statistics, modeling, and large-reputed company text processing.
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