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Data Scientist

2 months ago

Delhi, India Datycs Full time
About usDatycs is a fast-growing company that develops enterprise software for the US health care sector. We bring AI/ML to bear to improve efficiency and efficacy.Datycs delivers technology solutions for automating extraction of clinical, administrative and sociodemographic data. Our natural language processing (NLP) technology unlocks valuable information in 80% of health record data that is typically unstructured and unused.Our solutions integrate this information with data from electronic health records, claims, and other administrative and social databases, to provide analytics and actionable insights. These insights improve operational efficiency in several areas including risk adjustment, revenue management, quality measure abstraction, and utilization reviews.We are headquartered in the US with engineering based out of India.

RoleYou will be responsible for understanding complex business requirements and translating them into machine learning solutionsYou will experiment, develop and optimize ML models, while using best practices for conducting reproducible researchYou will work on new technologies, and experiment with state of the art methodologies for solving real world challengesYou will collaborate with software engineers to integrate your models into productionYou will help team members when required, and document your research and code

SkillsYou have a bachelors or master’s degree in Statistics, Mathematics, Data Science, Computer Science, or similar discipline.You have 1+ years of experience developing machine learning models, preferably in the healthcare industry. You have worked with teams in the US and India.You have excellent communication skills in English and can communicate with both technical and non-technical audiences.You are comfortable in dealing with uncertainty and ambiguity in problem statements and can research with an iterative mindsetYou have familiarity with Natural Language Processing (NLP) techniques and knowledge of deep learning architectures and frameworksYou have working knowledge of Python, including OOP concepts, and good problem solving abilityExperience with one or more of the following is a big plus:1. Experience with research process and experiment design and documentation2. Experience with Large Language Models (LLMs) for NLP applications3. Familiarity with deep learning frameworks in Python (Pytorch, Keras, Tensorflow etc.)4. Worked with public cloud infrastructure like AWS, Google Cloud, AzureWorked on any machine learning projects involving one of OCR, LLMs, image segmentation, text classification, named entity recognition, relation extraction or semantic segmentation