Principal Data Scientist

Job Opportunities - Fidelity

Principal Data Scientist

Company: Fidelity

Location: Boston, MA (On-site/Remote)

Category: Data Analytics and Insights

Sponsorship: Fidelity will not provide immigration sponsorship for this position.

Department: Enterprise Technology Artificial Intelligence Center of Excellence (ET AI CoE)

Machine Learning & Artificial Intelligence

Job Overview

As a Principal Data Scientist within the ET AI CoE, you will shape the next generation of AI at Fidelity. You will serve as a hands-on technical leader and mentor, designing and building critical AI capabilities and services for institutional and retail clients. The role involves guiding standard processes across NLP, speech analytics, and generative AI model development while delivering scalable, production-ready solutions.

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Programming

Software

machine learning

Key Responsibilities

• Design, build, and deploy AI/ML models in production environments.
• Mentor and uplift other engineers and data scientists.
• Drive architectural decisions and champion engineering excellence.
• Develop Retrieval-Augmented Generation (RAG) pipelines for context-aware responses.
• Lead projects involving Natural Language Processing (NLP), speech recognition (ASR), and conversational AI.
• Decompose research and tactical deliverables into modular, reusable strategic capabilities.
• Collaborate with business, product, and engineering partners to translate requirements into AI-driven solutions.

• Education: Advanced degree (Master's or PhD) in Computer Science, Machine Learning, Data Science, Engineering, or related field, or equivalent practical experience.
• AI/ML Experience: Hands-on expertise in designing, building, and deploying models with a deep understanding of MLOps standards (scalable architectures, reproducibility, monitoring, CI/CD, compliance).
• NLP & Linguistics: Extensive experience in entity recognition, text summarization, and conversational analytics.
• Programming: Proficiency in Python with modern ML libraries (PyTorch, transformers, etc.).
• Cloud Technologies: Experience with AWS SageMaker, Bedrock, Athena, Snowflake, and modern streaming technologies (Apache Kafka, AWS Kinesis, Apache Pulsar).
• Generative AI: Demonstrated experience with RAG pipelines and integrating external knowledge sources.
• Audio/ML: Experience with audio data pipelines, speech recognition, audio-to-audio processing, and call transcription/voice assistants.
• Hardware Optimization: Hands-on CUDA/GPU optimization experience for accelerating AI/ML workloads.
• Leadership: Proven track record of technical leadership, including conducting code/design reviews and upskilling teams.
• Communication: Strong ability to communicate complex technical topics to both technical and non-technical audiences, including technical writing skills.

Base Salary Range: $126,000 - $255,000 USD per year (based on responsibilities, location, experience, and other factors).

Machine Learning & Artificial Intelligence

Additional Compensation: Potential bonuses or variable compensation.

• Comprehensive health care coverage and emotional well-being support.
• Market-leading retirement plans.
• Generous paid time off and parental leave.
• Charitable giving employee match program.
• Educational assistance (student loan repayment, tuition reimbursement, learning resources).

Fidelity is governed by various securities and financial laws, including the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, and regulations from organizations such as FINRA. Employment decisions may be restricted for candidates with certain criminal histories.