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Director, Data Science

Company: Fidelity Investments
Location: Boston
Posted on: October 26, 2024

Job Description:

Job Description:JOB TITLE Principal Data Scientist - Natural Language Processing and Knowledge Graph Fidelity Workplace Investing is seeking for Data Scientists with experience in natural language processing, large language model, machine learning, knowledge graph and ontology. This position will be based full time in Boston, MA.The Purpose of Your RoleThis 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 and Ontology 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 EnterpriseThe Skills You Bring

  • PhD in Computer Science, Information Science, or other related STEM disciplines with extensive research on natural language processing, deep learning, knowledge graph, reasoning, OR Master's Degree in the same areas above with 10 years relevant professional experience
  • Deep understanding and knowledge of natural language processing, Large Language Model, deep learning, machine learning, ontology, knowledge graph, reasoning
  • 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 and knowledge in information retrieval, questing answering, deep learning and Large Language Model technologiesThe Value You Deliver
    • Manage and guide the AI model developments with Large Language Model, natural language processing, knowledge graph development, data science and data engineering elements of AI projects
    • Set a strategic direction for model development, knowledge graph development, 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 -How Your Work Impacts the OrganizationAs 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 OverviewAt 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.comFidelity Investments is an equal opportunity employer.Certifications:Company Overview Fidelity Investments is a privately held company with a mission to strengthen the financial well-being of our clients. We help people invest and plan for their future. We assist companies and non-profit organizations in delivering benefits to their employees. And we provide institutions and independent advisors with investment and technology solutions to help invest their own clients' money. Join Us At Fidelity, you'll find endless opportunities to build a meaningful career that positively impacts peoples' lives, including yours. You can take advantage of flexible benefits that support you through every stage of your career, empowering you to thrive at work and at home. Honored with a , we have been recognized by our employees as a top 10 Best Place to Work in 2024. And you don't need a finance background to succeed at Fidelity-we offer a range of opportunities for learning so you can build the career you've always imagined. blends the best of both onsite and offsite work experiences. Working onsite is important for our business strategy and our culture. We also value the benefits that working offsite offers associates. Most hybrid roles require associates to work onsite all business days of every other week in a Fidelity office. At Fidelity, we value honesty, integrity, and the safety of our associates and customers within a heavily regulated industry. Certain roles may require candidates to go through a preliminary credit check during the screening process. Candidates who are presented with a Fidelity offer will need to go through a background investigation, , and may be asked to provide additional documentation as requested. This investigation includes but is not limited to a criminal, civil litigations and regulatory review, employment, education, and credit review (role dependent). These investigations will account for 7 years or more of history, depending on the role. Where permitted by federal or state law, Fidelity will also conduct a pre-employment drug screen, which will review for the following substances: Amphetamines, THC (marijuana), cocaine, opiates, phencyclidine. We invite you to Find Your Fidelity at . Fidelity Investments is an equal opportunity employer. We believe that the most effective way to attract, develop and retain a diverse workforce is to build an enduring culture of inclusion and belonging.Fidelity will reasonably accommodate applicants with disabilities who need adjustments to participate in the application or interview process. To initiate a request for an accommodation, contact the HR Accommodation Team by sending an email to .
      We welcome those with experience in jobs such as General, General, and General and others in the General to apply.

Keywords: Fidelity Investments, Lynn , Director, Data Science, Executive , Boston, Massachusetts

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