6+ years of Industry experience as a data scientist or Machine learning scientist with 1+ years of leading a Data science team Develop and Deploy Data Science and machine learning products to support Evolent Health business objectives, Healthcare related products and improve processing efficiency, reducing overall healthcare costs Apply expert software engineering and cloud skills to build products, improve automation, and improve user experiences leveraging structured and unstructured data Own the Data science, machine learning and AI products from platforms to systems for model training, versioning, deploying, storage and testing models with creating real time feedback loops to fully automated services Work closely and collaborate with Data Scientists, Machine Learning engineers, IT teams, cloud infrastructure teams and Business stakeholders spread out across various locations in US and India to achieve business goals Provide mentoring to other Data Scientist and Machine Learning Engineers Strong understanding of mathematical concepts including but not limited to linear algebra, Advanced calculus, partial differential equations and statistics including Bayesian approaches Strong programming experience including understanding of concepts in data structures, algorithms, compression techniques, high performance computing, distributed computing, and various computer architecture Good understanding and experience with traditional data science approaches like sampling techniques, feature engineering, classification, regressions, SVM, trees, and model evaluations Additional course work, projects, research participation and/or publications in Natural Language processing, reasoning, and understanding, information retrieval, text mining, search, computational linguistics, ontologies, semantics Experience with developing and deploying products in production with experience in two or more of the following languages (Python, C++, Java, Scala) Strong Unix/Linux background and experience with at least one of the following cloud vendors like AWS, Azure, and Google for 2+ years Hands on experience with one or more of high-performance computing and distributed computing like Spark, Dask, Hadoop, CUDA distributed GPU (1+ years) Thorough understanding of deep learning architectures and hands on experience with one or more frameworks like tensorflow, pytorch, keras (1+ years) Hands on experience in Data science and Machine learning for 6+ years Understanding business use cases and be able to translate them to team with a vision on how to implement Identify enhancements and build best practices that can help to improve the productivity of the team. 2+ years of Experience with Kubernetes and dockers 2+ Experience building REST API’s for AI work and knowledge of microservices architecture Nice to Have Medical concepts with codes from standard ontologies (SNOMED CT, LOINC, RxNorm, ICD, etc.) Participation in open-source community projects A Master’s or PhD degree in Computer Science, Artificial Intelligence, Machine Learning, or related technical field is preferred with a strong academic background and industry experience Publication record in top NLP conferences (NIPS, ICLR, ACL, NAACL, EMNLP, SIGIR, WWW etc.) is preferred Academic Qualification Bachelor’s degree or above in Computer Science, Mathematics, Physics or electrical engineering with research experience from a strong academic program along with thesis
