- Pay
- $67,000 — $127,000 USD per year
- Employment
- full time
- Sponsorship
- Fidelity will not provide immigration sponsorship for this position.
Employer Job Description
From Fidelity Investments's posting. “We” and “our” refer to the employer.
Fidelity will not provide immigration sponsorship for this position.
Job Description:
NLP Data Science Analyst
Do you want to help shape the future of the Fidelity Assistant, Fidelity's AI-powered customer experience platform? Are you passionate about defining intelligent, personalized experiences that transform how customers invest, learn, and engage with Fidelity? As the competitive landscape in financial services rapidly evolves, there is a growing need for strategic problem solvers who can turn customer insights into impactful digital experiences.
Join a world-class brokerage team focused on advancing the Fidelity Assistant and related AI-enabled experiences - influencing product strategy, improving customer outcomes, and helping deliver the next generation of brokerage services.
The Role
As a NLP Data Science Analyst, you will leverage your expertise in brokerage products, customer experiences, and customer insights to help shape and improve the Fidelity Assistant. You will support the delivery of new capabilities and improved experiences by:
Partnering with Product, User Experience, Technology, Operations, and Analytics teams.
Translating business needs and insights into clear requirements, user stories, acceptance criteria, and prioritized backlogs that enable efficient delivery.
Using data, customer feedback, and business trends to identify opportunities, prioritize enhancements, and support data-driven decision-making.
Conducting testing and validation activities to ensure solutions meet requirements and deliver the intended customer and business outcomes.
Supporting product launches through readiness activities, content reviews, communications, and educational materials that promote successful adoption.
Monitoring product performance, measure outcomes, and provide ongoing production support, using insights and learnings to drive continuous improvement.
Leverage and refine AI skills and tools to streamline and perform daily tasks.
The Expertise and Skills You Bring
Bachelor's degree or higher in Computer Science, Mathematics, Computational Statistics, Computational Linguistics, Machine Learning or related technical fields
1-3 plus years of commercial or academic experience executing/leading work for digital or AI powered products.
Proficiency with Natural Language Processing (NLP) and Data Science Python Modules: Pandas, Spacy, nltk, etc.
Experience developing, tuning, and evaluating various types of machine learning algorithms, e.g. supervised, unsupervised, deep learning, neural networks
Proficiency in the entire Predictive Modeling life cycle – From exploratory data analysis to data cleaning to Feature Engineering to Model Building and Validation, Operationalization and Scalability of scientific techniques and establishing decision strategies
Strong proficiency with data analytics and related toolsets – e.g. SQL, AWS-Athena, Snowflake
Exposure to or experience with AWS Cloud ML or similar
Exposure to or experience working with dialog platforms like DialogFlow, Amazon Lex, etc.
Ability and willingness to work with third-party ASR and NLU platforms, with an eye toward innovation and augmentation.
The Team
You will be aligned with the Digital AI Solutions product area whose mission is to deliver simple, fast, and easy digital service for clients and associates across all channels. We work towards seamless customer experience on text and voice-based interactions powered by AI-based natural language solutions. You will be part of a team that grows our core business, wins customers of the future, and scales our growth.
Fidelity’s Onsite Working Model
Fidelity is transitioning to a full-time onsite working model through a phased rollout across regions and roles. Currently, some roles and locations require 100% onsite presence, while others require less. Onsite expectations are likely to evolve as the rollout continues. This transition does not apply to fully remote roles.
The base salary range for this position is $67,000-$127,000 per year. Placement in the range will vary based on job responsibilities and scope, geographic location, candidate’s relevant experience, and other factors.
Base salary is only part of the total compensation package. Depending on the position and eligibility requirements, the offer package may also include bonus or other variable compensation.
We offer a wide range of benefits to meet your evolving needs and help you live your best life at work and at home. These benefits include comprehensive health care coverage and emotional well-being support, market-leading retirement, generous paid time off and parental leave, charitable giving employee match program, and educational assistance including student loan repayment, tuition reimbursement, and learning resources to develop your career. Note, the application window closes when the position is filled or unposted.
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.
Certifications:
Category:
Business Analytics and Insights
About this listing
LAYIQ is an independent job-discovery service. This listing does not imply a partnership with or endorsement by the employer. Review the original posting for current details and availability.
Employer posted:
Listing check
- Employer posted
- · today
- Status
- Listed as a current opening
- Apply goes to
- Workday, the employer's hiring system
How to spot a ghost jobGhost Job Checker: check another job link
The checker shows whether the employer still lists a job.
