Principal Data Scientist

Fidelity; United States; On-site; USD 126,000 - 255,000; Full time

Job summary

Fidelity's Enterprise Technology AI CoE seeks a Principal Data Scientist to lead and shape production AI across NLP, speech analytics, and generative models.

You will mentor engineers, partner with business teams, design scalable ML workflows on cloud platforms, and drive architectural decisions while delivering measurable business value.

This role emphasizes hands-on coding, model deployment, and clear communication of complex topics to both technical and non-technical stakeholders.

Qualifications

• Advanced degree or equivalent in CS/ML/DS or related field.
• Experience deploying AI/ML models in production with MLOps practices.
• Expertise in NLP and conversational analytics.
• Proficient in Python and ML libraries (PyTorch, transformers).
• Experience with cloud workflows (AWS SageMaker, Bedrock, Athena, Snowflake).
• Knowledge of RAG pipelines and retrieval-augmented generation.
• Leadership: mentoring, reviews, architectural decisions.
• Strong written and verbal communication for technical audiences.

Responsibilities

• Design and build AI capabilities and services for Fidelity's CoE.
• Mentor engineers and drive standard processes across NLP and AI model development.
• Collaborate with business partners to deliver scalable solutions.
• Architect production-grade pipelines with monitoring and CI/CD.
• Lead research-to-production translation and documentation.

Skills

NLP / computational linguistics

Python programming

MLOps / CI/CD

Data science / ML engineering

CUDA / GPU optimization

Streaming data systems

RAG pipelines

Leadership / mentoring

Tech comms

Speech analytics / ASR

Education

Advanced degree in CS/ML/DS or related field

Tools

PyTorch

Transformers

AWS SageMaker

Bedrock

Athena

Snowflake

Kafka

Kinesis

Pulsar

Job description

Fidelity will not provide immigration sponsorship for this position.

Job Description:

Within Fidelity's Enterprise Technology Artificial Intelligence Center of Excellence (ET AI CoE), you will help shape the next generation of AI at Fidelity, designing and building critical AI capabilities and services that will benefit institutional and retail clients for years to come. You'll engage directly with business partners to navigate the complexities of artificial intelligence, advanced analytics, and machine learning, delivering scalable, production-ready solutions that drive customer and business value.

As a Principal Data Scientist, you will be a hands‑on technical leader and mentor, guiding standard processes across NLP, speech analytics, and generative AI model development. You'll join a team passionate about innovation, working with modern cloud and open‑source technologies while solving some of the financial industry's most exciting data challenges.

The Team

Our AI team propels Fidelity forward by researching, developing, and scaling sophisticated AI algorithms, models, frameworks, platforms, and technologies that transform customer experiences and drive measurable business outcomes. As a Principal Data Scientist, you will play a vital technical leadership role: mentoring and uplifting other engineers, building collaborative partnerships, and setting the tone for quality and innovation. Our diverse group draws on multidisciplinary strengths: Data Science, ML engineering, software, and domain expertise to continually advance Fidelity's position at the forefront of applied AI.

The Expertise You Bring

Advanced degree or equivalent experience (Master's or PhD) in Computer Science, Machine Learning, Data Science, Engineering, or a related field, or equivalent practical experience.

Experience designing, building, and deploying AI/ML models in production environments, with deep understanding of MLOps standards (scalable architectures, reproducibility, monitoring, CI/CD, and compliance).

Extensive hands‑on expertise with: Natural Language Processing (NLP) and computational linguistics, including entity recognition, text summarization, and conversational analytics.

Programming in Python (primary), with experience in modern ML libraries (PyTorch, transformers, etc.).

Cloud‑based workflows (AWS SageMaker, Bedrock, Athena, Snowflake).

RAG pipelines for retrieval‑augmented generation, enabling context‑aware responses and integration of external knowledge sources.

Demonstrated technical leadership: mentoring and upskilling data scientists, conducting peer code/design reviews, driving architectural decisions, and championing engineering excellence.

Ability to communicate complex technical topics clearly and persuasively to both technical and non‑technical partners (including strong technical writing/documentation skills).

Experience working with audio data pipelines, speech recognition (ASR), audio‑to‑audio processing, and conversational AI (including dialogue systems, call transcription, or voice assistants).

Experience with modern real‑time and streaming data technologies (such as Apache Kafka, AWS Kinesis, Apache Pulsar, or cloud‑native event streaming platforms).

Hands‑on CUDA/GPU optimization experience for accelerating AI/ML workloads.

Ability to decompose research or tactical deliverables into modular, reusable, strategic capabilities/services.

Excellent communication and presentation skills while being comfortable collaborating in team settings.

The Value You Deliver

You will be a trusted AI partner helping business, product, and engineering partners translate business requirements into real‑world next‑generation AI‑driven solutions. The ideal candidate combines expert open‑source AI/ML modeling with hands‑on technical experience to build algorithms, models and, occasionally, applications that surface insights and deliver value (revenue and/or cost saving benefits, customer experiences/journeys, and increased efficiencies through automation/optimization).

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 $126,000-255,000 USD 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-b