Description

Job Description:

Senior Data Scientist - Natural Language Processing

Fidelity Workplace Investing is seeking for Data Scientists with experience in natural language processing, large language model, machine learning, knowledge graph. This position will be based full time in West Lake, TX.

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 develop AI-based solutions by developing advanced AI models and technologies with Natural Language Processing(NLP), Large Language Model(LLM) and Machine Learning(ML), and developing 401K Plan Knowledge Graph to enable high performance of the AI models. Candidate must be comfortable in a fast-paced, unpredictable and sometimes ambiguous environment working with current and emerging AI technologies. The assignments will include model development with NLP, LLM and ML technologies, gathering data from multiple sources, data processing and analysis, knowledge graph development, unstructured data analysis, predictive and 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 of Workplace Investing and the Fidelity Enterprise

The Skills You Bring

• PhD in Computer Science, Information Science, or other related STEM disciplines on natural language processing, deep learning, knowledge graph, reasoning, OR Master's Degree in the same areas above with 3 or more years relevant professional experience
• Deep understanding and knowledge of natural language processing, Large Language Model, deep learning, machine learning, knowledge graph
• A strong Python and SQL programmer with demonstrated proficiency in data extraction, data engineering, data analysis, machine learning, data modeling and pipeline automation.
• 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
• Proficiency in information design with the ability to present and visualize data to foster efficient and effective understanding of the information.
• Experience and knowledge in information retrieval, questing answering, deep learning and Large Language Model technologies

The Value You Deliver

• Lead AI model developments with Large Language Model, natural language processing, knowledge graph, data science and data engineering elements of AI projects
• Lead data analysis with diverse scope and complex business and technical challenges
• 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
  

How Your Work Impacts the Organization

As a data scientist in Fidelity Workplace Investments, 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.

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

Fidelity Investments is an equal opportunity employer.

Certifications:

Category:

Data Analytics and Insights
Most roles at Fidelity are Hybrid, requiring associates to work onsite every other week (all business days, M-F) in a Fidelity office. This does not apply to Remote or fully Onsite roles. Some roles may have unique onsite requirements. Please consult with your recruiter for the specific expectations for this position.

Please be advised that Fidelity's business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.



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