Data Scientist: AI

Key Skills

Java Programming, Python Programming, C Programming, Azure, AWS, Scala Programming, Deep Learning, Natural Language Processing (NLP), PyTorch, AI technology, PySpark, Natural Language Understanding-NLU

Job Description

The Data Scientist will be responsible for supporting Artificial Intelligence, Machine Learning, and Data Science solutions for Change Healthcare, reporting to an AI Data Science leader under the Chief AI Officer. We’re looking for data scientists with a passion for artificial intelligence to help drive a new generation of data and machine learning enabled services and products to impact healthcare.

You will enjoy working with a highly talented and diverse team of data scientists specializing in deep learning, active learning, and classical machine learning, one of the richest data sets in US healthcare, nearly limitless cloud compute resources including Spark clusters and GPUs, and the ability to see your insights turned into real products.

The ideal candidate will have a background in machine learning, have experience working with large data sets, and have some experience in building and deploying data-driven innovative AI solutions. You are focused on results, a self-starter, able to put the customer first, team first, and have demonstrated success in using data science to develop and deploy AI solutions with a focus on customer impact. You also are able to rapidly prototype new ideas and methods to deliver quality code that is testable and concise.

What will be my duties and responsibilities in this job?

• Use AI/ML technologies to innovate current Chang Healthcare operations. The tasks of innovation include, but not limited to: Smart revenue management, Intelligent payment platform, medical chart reading, code reading with noisy and incomplete OCR documents, Conversational AI to facilitate customer services and other healthcare related use cases
• Work closely with business and operations to understand the business requirements. To be able convert ambiguous requirements to mathematical AI models that can be trained and deployed to solve business problems
• Have strong implementation skills to the proposed solutions and work closely with engineering team to create product pipelines that are scalable and flexible
• Willing to work in an agile and fast-moving working environment
• Passion for learning and innovating at new AI technologies that can facilitate future projects

What are the requirements needed for this position?

• Ph.D. in Computer Science, Math, Physics, Electrical Engineering, Industrial Engineering, Statistics, bioinformatics or other hardcore technical fields with profound mathematical training. Proficient in translating unstructured business problems into an abstract mathematical framework
• Fluency in one of the scripting languages, such as: Python, Scalar, PySpark and others
• Experience with Spark, MapReduce and other big data processing tools is preferred
• Familiar with both SQL and noSQL databases, ability to write efficient queries in SQL
• Expertise in NLU/NLP, Conversational AI
• Expertise with one of the Deep Learning platforms, such as, TensorFlow, Pytorch, and Keras
• Expertise in Knowledge Graph and personalization
• Ability to initiate and drive projects to completion with minimal guidance
• The ability to communicate the results of analyses in a clear and effective manner
• Familiar with AWS and its components, such as EMR, S3, EC2, SageMaker. or customer build AI Platform

What other skills/experience would be helpful to have?

• Ph.D. with experiences on medical coding, medical chart reading, entity detection, and other reading comprehension using AI/NLP technologies
• Ph.D. with experience on big data processing in the areas of Revenue cycle management includes, but not limited to, risk management, payment accuracy, smart reconciliation, etc...
• Ph.D. with experiences on conversational AI technologies, such as AI model for intent detection, NER, dialog management and other related components
• Experience with medical ontologies, medical Knowledge Graph that links multiple entities, such as patients, providers, and payers. Possess the ability to run large scale inference on top of KG and generate business values
• Experience with medical image processing, diagnosis based on images and narratives using AI technologies
• Exceptional interpersonal and communication skills, including the ability to describe the logic and implications of a complex model to all types of partners (product managers, engineers, designers, senior executives)

What are the working conditions and physical requirements of this job?

• General office demands