Principal Data Scientist (Remote) – Houston, TX area ONLY

Key Skills

Java Programming, Design, Python Programming, SQL, Big Data Technology, Machine learning techniques, Data science techniques, Deep Learning, Keras software library, TensorFlow, MxNet, Data Engineering, H2O, Snorkel, BERT, SQuAD, Data Analysis

Job Description

Fidelity Investments has new remote opportunities for Principal Data Scientists. While these positions are remote, you are required to live in the Greater Baltimore, MD area. You’ll have full access to virtual training and learning opportunities, plus dynamic working resources to help you stay connected.

We're seeking experience in natural language processing, OCR, computer vision, information retrieval, question answering, machine learning, various deep learning related technologies, predictive and prescriptive analytics.

The Purpose of Your Role

This individual will lead high profile data science and artificial intelligence projects working closely with Technology, Product Management, and others across multiple business units and teams to define and develop AI-based solutions. The 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 and acts with confidence to communicate to all levels

The Skills You Bring

• PhD in Computer Science or other related STEM disciplines with extensive research papers on natural language processing, OCR, computer vision, and information retrieval, OR Master’s Degree in Computer Science, Statistics, Data Science or similar technical disciplines with 5-10 years relevant professional experience
• Deep understanding of Machine Learning & Deep Learning algorithms
• Knowledge of most of following quantitative fields: Natural Language Processing, OCR, Computer Vision, Information Retrieval, Machine Comprehension, Question Answering, Reinforcement Learning, Knowledge Graph, Causal Inference, and Design of Experiment
• A strong Python and SQL programmer with demonstrated proficiency in data extraction, data engineering, data analysis, machine learning, data modeling and pipeline automation. An ability to write object-oriented solutions and to package together and streamline existing models is preferred
• Solid verbal communication, presentation, and business/industry/scientific technical writing skills with an ability to explain complex data science, statistics, and computer science concepts clearly for a nontechnical audience, comfortable interacting with various levels of management from different functions
• Proficiency in information design with the ability to present and visualize data to foster efficient and effective understanding of the information.
• Experience in Big Data, information retrieval, NLP, OCR, computer vision and questing answering technologies such as BERT/BART, GPT, SQuAD, Snorkel, TFIDF, etc.
• Knowledge of Deep Learning and related tools such as TensorFlow, Keras, MXNET, or H2O is preferred

The Value You Deliver

• 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

Company Overview

At Fidelity, we are focused on making our financial expertise broadly accessible and effective in helping people live the lives they want. We are a privately held company that places a high degree of value in creating and nurturing a work environment that attracts the best talent and reflects our commitment to our associates. For information about working at Fidelity, visit FidelityCareers.com