Senior Data Scientist - NLP, Task Mining

2 days ago

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CLARA Analytics

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Proven AI Platform for Casualty Insurance Claims

workers'​ compensation • occupational injuries • insurtech • data science • predictive analytics

51 - 200

Description

• Seeking a highly skilled and experienced Senior Data Scientist with expertise in task mining and information extraction from unstructured data. • Responsibilities include designing and implementing data mining and NLP algorithms, developing ML models, conducting exploratory data analysis, utilizing graph analytics techniques, and staying abreast of research advancements. • Work closely with product and engineering teams, conduct code and model reviews, and develop applications/features.

Requirements

• MS degree in a quantitative discipline (e.g., machine learning, computer science, statistics, mathematics, physics). • 5+ years of experience developing machine learning models. • 3+ years of practical experience in natural language processing, plus a strong academic background • Hands on experience with text preprocessing, named entity recognition, entity linking, task mining, graph analytics techniques and graph databases (Neo4j). • Solid understanding of NLP fundamentals including word embeddings, sequence-to-sequence models, attention mechanisms, and transformer architectures. • Ability to assess the pros and cons of different ML methods and algorithms, break problems down into standard tasks and prototype quickly. • Demonstrated ability to communicate complex quantitative concepts effectively to various audiences of varying technical proficiency. • PhD in quantitative discipline as described above preferred. • 2+ years of relevant work experience in the insurance or medical industries, including development and implementation of production quality machine learning applications preferred. • Experience coupling language models with other tools and technologies (knowledge graphs, domain-specific ontologies, etc.) preferred.