Summary
We are currently sourcing for a Data Scientist. This individual will lead high profile data science and artificial intelligence projects working closely with Technology, Product Management, Call Center, and others across multiple business units and teams to define and develop AI-based solutions.
Candidate must be comfortable in a fast-paced, unpredictable and sometimes ambiguous environment working with current and emerging AI technologies. The assignments will include gathering data from multiple sources, data processing, exploratory data analysis, measurement, unstructured data analysis, predictive analytics, prescriptive analytics, interpretation of findings, presentation, and system implementation.
The successful candidate will be capable of supporting projects across many areas with the highest degree of quality. They will have a proven record of assuring quality of data gathering and analysis, be a team player who thrives in a high performing work environment.
As a Data Scientist, you will contribute to advancing the analytics and data science capability for a variety of employee benefit products, and will take the organization to the next level.
Responsibilities
* Manage and guide data science and data engineering elements of AI projects
* Set a strategic direction for data identification, collection and qualification activities
* Lead data analysis for multiple projects with diverse scope and complex business and technical challenges across several business units and functions
* Develop best practices for data science, considering the full analytical lifecycle
* Develop guidelines for the evaluation of new analytical tools and platforms
* Implement new technologies in a production environment with product, IT, and data engineering teams
* Present reports and findings to senior level technical and non-technical audiences
Requirements
* PhD in Computer Science with extensive research papers on Virtual Assistant/Natural Language Processing, OR Master's Degree in Computer Science, Statistics, Data Science or similar technical discipline with at least 5 years relevant professional experience
* Deep understanding of Machine Learning & Deep Learning algorithms
* Knowledge of most of the following quantitative fields: Natural Language Processing, Information Retrieval, Machine Comprehension, Question Answering/Conversational AI, Reinforcement Learning, Knowledge Graph, Causal Inference, and Design of Experiment
* Statistical and data science programming skills, such as Python and R
* Experience in Big Data, search, NLP, and chatbot technologies such as Elasticsearch and Solr
* Knowledge of Deep Learning and related tools such as TensorFlow, Keras, MXNET, or H2O is preferred