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    Data Scientist - Boston, MA, United States - Soteriare

    Soteriare
    Soteriare Boston, MA, United States

    2 weeks ago

    Default job background
    Full time
    Description

    The Data Science Team within Asset Management Technology, Quant Development, is seeking a highly motivated and technically proficient data science lead who is passionate about applying new technologies.

    This individual will collaborate with other data scientists and quants to prototype, learn, and ultimately deliver investments solutions using techniques such as machine learning, artificial intelligence, and graph learning.

    Advanced degree in Engineering, Computer Science, Mathematics, Computational Statistics, Operations Research, Machine Learning or related technical fields.
    ~5+ years of prior work experience as a Data Scientist.
    ~ Knowledge Graphs, Graph Learning, Generative AI, Large Language Models (LLMs) applications, and Information Retrieval.
    ~ Experience in Natural Language Processing (NLP) and Deep Learning.
    ~ Proficiency in developing supervised and unsupervised machine learning algorithms.
    ~ Experience with fine-tuning language models.
    ~ Knowledge in model evaluation, tuning, performance, operationalization, scalability of scientific techniques, and establishing decision strategies.
    ~ Experience in evaluating and making decisions around the use of new or existing tools for a project.
    ~ Experience in projects involving large-scale, multi-dimensional databases, business infrastructure, and multi-functional teams.
    ~ Proficient programming skills in Python and SQL.
    ~ Passionate about staying ahead of the industry with the latest advancements in AI and machine learning, and eager to drive innovation.

    The Quant technology team is at the frontier of Fidelity Technology and delivers scalable, innovative, industry-leading investment tools that enable Asset Management to achieve a global advantage.

    Our work in this groundbreaking initiative will contribute significantly to Asset Management's investment performance and scale and efficiency objectives.

    At Fidelity, we are passionate about making our financial expertise broadly accessible and effective in helping people live the lives they want For information about working at Fidelity, visit Fidelity Investments is an equal opportunity employer.

    Data Analytics and

    Insights Job Description:

    The Data Science Team within Asset Management Technology, Quant Development, is seeking a highly motivated and technically proficient data science lead who is passionate about applying new technologies.

    This individual will collaborate with other data scientists and quants to prototype, learn, and ultimately deliver investments solutions using techniques such as machine learning, artificial intelligence, and graph learning.

    Advanced degree in Engineering, Computer Science, Mathematics, Computational Statistics, Operations Research, Machine Learning or related technical fields.
    ~5+ years of prior work experience as a Data Scientist.
    ~ Knowledge Graphs, Graph Learning, Generative AI, Large Language Models (LLMs) applications, and Information Retrieval.
    ~ Experience in Natural Language Processing (NLP) and Deep Learning.
    ~ Proficiency in developing supervised and unsupervised machine learning algorithms.
    ~ Experience with fine-tuning language models.
    ~ Knowledge in model evaluation, tuning, performance, operationalization, scalability of scientific techniques, and establishing decision strategies.
    ~ Experience in evaluating and making decisions around the use of new or existing tools for a project.
    ~ Experience in projects involving large-scale, multi-dimensional databases, business infrastructure, and multi-functional teams.
    ~ Proficient programming skills in Python and SQL.
    ~ Passionate about staying ahead of the industry with the latest advancements in AI and machine learning, and eager to drive innovation.

    The Quant technology team is at the frontier of Fidelity Technology and delivers scalable, innovative, industry-leading investment tools that enable Asset Management to achieve a global advantage.

    Our work in this groundbreaking initiative will contribute significantly to Asset Management's investment performance and scale and efficiency objectives.

    At Fidelity, we are passionate about making our financial expertise broadly accessible and effective in helping people live the lives they want For information about working at Fidelity, visit Fidelity Investments is an equal opportunity employer.

    Data Analytics and Insights About Us
    At Fidelity, we are passionate about making our financial expertise broadly accessible and effective in helping people live the lives they want For information about working at Fidelity, visit
    Fidelity Investments is an equal opportunity employer.
    Fidelity will reasonably accommodate applicants with disabilities who need adjustments to participate in the application or interview process.
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