Fidelity Bank · 17 hours ago
Data Scientist - Applied AI Research
Westlake, TX
Full-time
Hybrid
Entry Level
1+ years expFidelity Bank is seeking a Data Scientist - Applied AI Research to ideate, design, and develop NLP across their products. The role involves collaborating with Agile team members to implement machine learning solutions, optimizing existing models, and delivering reports on a sprint cadence.
Customer ServiceFinanceBankingCrypto & Web3Property & Casualty InsuranceBitcoinFinancial ServicesInsuranceWealth Management
Responsibilities
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
Qualification
Required
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
Company
Fidelity Bank
Fidelity Bank is a commercial bank providing services financial sercvices.
1001-5000 employees
Funding
Current Stage
Late StageTotal Funding
unknown2018-12-17Acquired
2014-09-01Private Equity
Company data provided by crunchbase