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, Boston , Director, Data Science, Executive , Boston, Massachusetts
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