Senior Data Scientist (Reinforcement Learning)

Key Skills

Python Programming, Big Data Technology, Machine learning techniques, Data science techniques, Deep Learning, Keras software library, Natural Language Processing (NLP), PyTorch, Reinforcement Learning, TensorFlow, Elasticsearch, Algorithms, MxNet, Apache Solr, Knowledge graph, Information Retrieval, H2O, Design of Experiment, Machine Comprehension, Question Answering technologies

Job Description

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, unexpected, 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 great teammate who thrives in a hard-working work environment and acts with confidence to communicate to all levels of Workplace Investing and the Fidelity Enterprise

The Expertise and Skills You Bring

• MS/PhD in Computer Science/Electrical & Computer Engineering, or similar technical subject area with at least 5 years of relevant professional experience required
• Strong theoretical understanding and hands-on experience with Reinforcement Learning
• Experience working with recommender systems
• Deep understanding of Machine Learning & Deep Learning algorithms
• Knowledge of most of the following quantitative fields: Reinforcement Learning, Natural Language Processing, Information Retrieval, Machine Comprehension, Question Answering/ConversationalAI, Knowledge Graph, and Design of Experiment
• Statistical and data science programming skills with Python
• Experience in Big Data, search, NLP, and chatbot technologies such as Elasticsearch and Solr
• Knowledge of Deep Learning and related tools such as PyTorch, TensorFlow, Keras, MXNET, or H2O is preferred