Senior Data Scientist

Key Skills

Java Programming, Design, Python Programming, SQL, Data science techniques, Deep Learning, Natural Language Processing (NLP), Reinforcement Learning, Algorithms, Quantitative models, Knowledge graph, Large scale data processing, Recommendation Systems, Time series, Causal inference, Machine Comprehension, Question Answering technologies

Job Description

At Fidelity’s Artificial Intelligence Center of Excellence (COE), you won’t be just tinkering around the edges, you’ll be building critical solutions that will benefit our clients for years to come. We work closely with business partners, collect requirements and deliver high value AI/ML solutions that drive customer and business value. Those of us who love to work with data see this as the pinnacle of opportunities that you cannot find anywhere else in the industry.

The AI COE is seeking a Senior Data Scientist with experience in time series analytics, machine learning, various deep learning related technologies, predictive and prescriptive analytics. The scientist will focus primarily on projects to drive decision support systems for strategically important initiatives.

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 standout colleague who thrives in a robust work environment and acts with confidence to communicate to all levels of Workplace Investing and the Fidelity Enterprise. The candidate is expected to:

• 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

The Expertise and Skills You Bring

• MS/PhD in Computer Science with experience in Machine Learning, or similar technical subject area with 3-5 years of relevant professional experience required
• Deep understanding of Machine Learning & Deep Learning algorithms
• Knowledge of most of the following quantitative fields: Natural Language Processing, Reinforcement Learning, Recommendation System, Time Series Models, Knowledge Graph, Causal Inference, Information Retrieval, Machine Comprehension, Question Answering/Conversational AI, and Design of Experiment
• Statistical and data science programming skills in Python
• Experience in projects involving large scale multi-dimensional databases, sophisticated business infrastructure, and multi-functional teams. Three to five successfully launched ML projects would be ideal.