Data Scientist - Applied AI Research

Fidelity Investments • Westlake, TX

1d • Hybrid

About The Position

The Data Scientist - 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. Work closely with the Agile team members to bring ML solutions into the product Benchmark and optimize existing ML solutions performance (e.g, model footprint or latency) Deliver reports on a sprint cadence Peer review code and reports written by teammates Bring good ideas during brainstorming sessions 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.

Requirements

• 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, fastText-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.

Responsibilities

• Ideate, design, and develop NLP across our products
• Partner with other teams on technical matters
• Work closely with our engineers
• Read academic papers and design experiments to assess utility of any new ideas
• Work closely with the Agile team members to bring ML solutions into the product
• Benchmark and optimize existing ML solutions performance (e.g, model footprint or latency)
• Deliver reports on a sprint cadence
• Peer review code and reports written by teammates
• Bring good ideas during brainstorming sessions

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level