- 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.
- Hands-on experience in most of the following: 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.
- Ability to translate technical topics to non-technical audiences.
- Passionate about staying ahead of the industry with the latest advancements in AI and machine learning, and eager to drive innovation.
- 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.
- Hands-on experience in most of the following: 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.
- Ability to translate technical topics to non-technical audiences.
- Passionate about staying ahead of the industry with the latest advancements in AI and machine learning, and eager to drive innovation.
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Principal Data Scientist - Boston, MA, United States - Soteriare
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.
The role is available in Boston, MA;
THE EXPERTISE AND SKILLS YOU BRING
THE TEAM
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.
COMPANY OVERVIEW
At Fidelity, we are passionate about 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. We are proud of our diverse and inclusive workplace where we respect and value our associates for their unique perspectives and experiences. For information about working at Fidelity, visit Fidelity Investments is an equal opportunity employer.
Certifications: Category:
Data Analytics and InsightsJob 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.
The role is available in Boston, MA;
THE EXPERTISE AND SKILLS YOU BRING
THE TEAM
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.
COMPANY OVERVIEW
At Fidelity, we are passionate about 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. We are proud of our diverse and inclusive workplace where we respect and value our associates for their unique perspectives and experiences. For information about working at Fidelity, visit Fidelity Investments is an equal opportunity employer.
Certifications: Category:
Data Analytics and InsightsAbout Us
At Fidelity, we are passionate about 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. We are proud of our diverse and inclusive workplace where we respect and value our associates for their unique perspectives and experiences. 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. To initiate a request for an accommodation please contact the following:
For roles based in the US: Contact the HR Leave of Absence/Accommodation Team by sending an email to , or by calling , prompt 2, option 2
For roles based in Ireland: Contact
For roles based in Germany: Contact A
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