Jobs
Job Description:
Note: Fidelity will not provide immigration sponsorship for this position
The Role
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The Data Scientist
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Applied AI Research will ideate, design, and develop NLP across our products. You will partner with other teams on technical matters and work closely with our engineers. The ideal candidate will be comfortable reading academic papers and designing experiments to assess utility of any new ideas.
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Work closely with the Agile team members to bring ML solutions into the product
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Benchmark and optimize existing ML solutions performance (e.g, model footprint or latency)
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Deliver reports on a sprint cadence
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Peer review code and reports written by teammates
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Bring good ideas during brainstorming sessions
The Expertise and Skills You Bring
- 1+ years of Data Science experience, specializing with NLP.
- 1+ years of generative AI experience including LLMs, Agents, MCPs, etc
- 1+ years of experience working in an Agile environment.
- 1+ years of experience with AWS products in a Linux environment. Experience with other cloud services can also count towards this.
- Experience developing and optimizing solutions from transformer-based, fast Text-based or ensemble based models.
- Experience with Pytorch
- Understanding of text representation techniques and classification algorithms
- Deep understanding of experiment design and documentation
- Statistical acumen and experience applying statistical concepts to data science experiments.
- Deep knowledge of machine learning algorithms, with the ability to choose the optimal algorithm for a given problem.
- Ability to write robust and testable code, in Python
- Ability to write/read bash shell scripts, and comfortable on the Linux command line.
- Masters Degree or higher in a quantitative subject: Mathematics, Physics, Computer Science, Computational Linguistics, or similar.
The Team
The Fidelity Labs Saifr team is missioned with bringing new products and capabilities to market, holding end to end responsibility for full solution development. We will introduce new products to market to be used daily across the globe, across all devices & browsers. The team experience is collaborative, innovative and engaged in a start-up like atmosphere. This role has high visibility and potential in the organization. Our agile teams are based in multiple locations, predominantly in Boston, Dublin, Bangalore and Westlake. Scrum teams work on all aspects of our products and work interactively.
Certifications:
Category:
Data Analytics and Insights:
Most roles at Fidelity are Hybrid, requiring associates to work onsite every other week (all business days, M-F) in a Fidelity office. This does not apply to Remote or fully Onsite roles. Some roles may have unique onsite requirements. Please consult with your recruiter for the specific expectations for this position.
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.
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About Fidelity

Fidelity
BootstrappedFidelity Investments, formerly known as Fidelity Management & Research (FMR), owned by FMR LLC and headquartered in Boston, Massachusetts, United States, provides financial services.
1-50
Employees
Chatham
Headquarters
Reviews
3.9
10 reviews
Work-life balance
3.7
Compensation
4.2
Culture
4.1
Career
2.8
Management
3.4
72%
Recommend to a friend
Pros
Supportive management and colleagues
Excellent benefits and compensation
Good work-life balance and flexibility
Cons
Limited career advancement opportunities
High pressure and demanding workload
Management responsiveness issues
Salary Ranges
43 data points
Mid/L4
Mid/L4 · Data Scientist
1 reports
$133,712
total per year
Base
$102,856
Stock
-
Bonus
-
$133,712
$133,712
Interview experience
6 interviews
Difficulty
3.2
/ 5
Duration
14-28 weeks
Experience
Positive 0%
Neutral 67%
Negative 33%
Interview process
1
Phone Interview
2
Video Interview
3
Offer
4
Background Check
5
Fingerprinting
6
Drug Test
Common questions
Customer service scenarios
Financial services knowledge
Behavioral questions
Technical cybersecurity concepts
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